Allow registered users and anonymous users to add node with Password

But my problem is: i want all other users including anonymous and registered users to be able to add a node and set a password on their own. Maybe ...

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Ravens: Close to 50 coaches, executives and players attend Tray Walker's funeral; John Harbaugh offers \"touching sermon\" (ESPN)

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I have a new follower on Twitter

esta nole

USA

Following: 730 - Followers: 0

March 26, 2016 at 03:51PM via Twitter http://twitter.com/estaifp3445

Ravens: John Harbaugh is demanding on the field but unique in the way he's \"loyal and loving\" off of it - Van Valkenburg (ESPN)

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I have a new follower on Twitter

Jeff
pizza


Following: 4098 - Followers: 1970

March 26, 2016 at 08:08AM via Twitter http://twitter.com/Jeff65248334

Facebook's latest feature Alerts You if Someone Impersonates Your Profile

Online harassment has been elevated a step with the advent of popular social networks like Facebook. Cyber stalkers create fake profiles impersonating other Facebook users and start doing activities on their behalf until and unless the owners notice the fake profiles and manually report it to Facebook. Even in some cases, cyber stalkers block the Facebook account holders whom they

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How do I add anonymous users to view content of a groep?

I want a group to group content, but it must be available to view for anonymous users. I cannot attach general roles to a group, only members?

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Microsoft says It's Deeply Sorry for Racist and Offensive Tweets by Tay AI Chatbot

After Microsoft's Twitter-based Artificial Intelligence (AI) chatbot 'Tay' badly defeated earlier this week, Microsoft has expressed apology and explained what went wrong. For those unaware, Tay is Millennial-inspired artificial intelligence chatbot unveiled by Microsoft on Wednesday that's supposed to talk with people on social media networks like Twitter, Kik and GroupMe and learn from

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New Bill targets Anonymous Prepaid 'Burner' phones by requiring Registration

Terrorist organisations are increasingly using high-grade encryption technologies to prevent being caught by the law enforcement. But, that was not in the case of last year's Paris attacks that killed 129 people, as Encryption seems to have played little to no role. So, Who was the Real Culprit Behind the Attacks? The 'Burner' Phones. Burner Phones, or Prepaid mobile phones, are

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Global Temperature Anomalies from January 2016

Weather dynamics often affect regional temperatures, so not every region on Earth experienced record average temperatures last year. This data visualization of NASA's Goddard Institute for Space Studies (GISS) Global temperature anomalies for January of 2016 show warmer than averag temperatures in red and colder than average temperatures in blue. The extremely warm arctic temperatures contributed to a new record low sea ice for January.For more information on the GISTEMP, see the GISTEMP analysis website located at: http://ift.tt/uAzy6c

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Arctic Sea Ice Maximum - 2016

The maximum Arctic sea ice extent appears to have occurred on March 22, 2016, reaching an extent of 14.52 million square kilometers (5.61 million square miles). This is 20 thousand square kilometers (7.7 thousand square miles) below the previous lowest maximum recorded in 2015. Overall, there is a declining trend in the maximum extent of about 2.8 per decade. This is much smaller than the summer trends, but also reflects the long-term warming trend in the Arctic. While a low maximum gives the extent a head start heading into summer, it turns out that there is not much relation between the maximum and summer minimum and a record low maximum does not portend a record low minimum. This is because the ice near the edge at the time of the maximum is thin, seasonal ice that will melt out early in the summer. The weather conditions in the Arctic during the summer melt season is the most crucial in determining whether a record low is possible in any given year. In this animation, the Arctic sea ice area is derived from a running 3-day maximum of the AMSR2 sea ice concentration where the concentration is greater than 15. The blueish white colour of the sea ice is derived from a 3-day running minimum of the AMSR2 89 GHz brightness temperature that is linearly mapped between the high and low values.

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Close Comet and the Milky Way

Comet 252P/Linear's lovely greenish coma is easy to spot in this expansive southern skyscape. Visible to the naked eye from the dark site near Flinders, Victoria, Australia, the comet appears tailless. Still, its surprisingly bright coma spans about 1 degree, posed here below the nebulae, stars, and dark rifts of the Milky Way. The five panels used in the wide-field mosaic were captured after moonset and before morning twilight on March 21. That was less than 24 hours from the comet's closest approach, a mere 5.3 million kilometers from our fair planet. Sweeping quickly across the sky because it is so close to Earth, the comet should be spotted in the coming days by northern hemisphere comet watchers. In predawn but moonlit skies it will move through Sagittarius and Scorpius seen toward the southern horizon. That's near the triangle formed by bright, yellowish, Mars, Saturn, and Antares at the upper left of this frame. via NASA http://ift.tt/1MGkwf2

Woman marries anonymous sperm donor, the father of her daughter

In a story that amounts to a modern-day fairytale, an Australian woman has married the man whose anonymous sperm donation led to the birth of her ...

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Orioles Video: Team is \"hopeful\" P Kevin Gausman (shoulder) will be ready shortly after Opening Day, says Buster Olney (ESPN)

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ISS Daily Summary Report – 03/25/16

Crew Off Duty: Today was a half duty day and Monday will be a full off duty day for the USOS crew. This is to pay the crew back for performing Cygnus operations this weekend.   Orbital 6 (OA-6): Kopra and Peake participated in a Cygnus rendezvous conference with ground teams to prepare for OA-6 capture tomorrow at 5:40AM CDT and berthing approximately 3 hours later.  Vehicle ingress and cargo transfer operations will occur on Sunday.   Education Payloads Operations (EPO) – AstroPi File Transfer and De-installation: Peake copied files from the AstroPi Micro standard definition card to an SSC for downlink prior to deinstalling AstroPi in Node 2. AstroPi is composed of RaspberryPi B+, Sense HAT (Hardware Attached on Top) and a camera module. Raspberry Pi is a credit-card sized computer that enables students to explore computing and learn how to program. Two AstroPi are on board: AstroPi Vis, with visible light camera, and AstroPi IR, with an infrared camera. Both AstroPi programs were written by the winners of a student competition and collect data from sensors (i.e., inertial movement, barometric pressure, relative humidity and temperature) which will be shared with schools.   Space Headaches: Peake completed his weekly Space Headaches questionnaire. Headaches can be a common complaint during spaceflight. The Space Headaches experiment will provide information that may help in the development of methods to alleviate associated symptoms and improvement in the well-being and performance of crew members in space.   Habitability Human Factors Directed Observations: Peake completed a session of the Habitability experiment by uploading the iSHORT app. He recorded and submitted a walk-through video documenting observations of an area or activity providing insight related to human factors and habitability. The Habitability investigation collects observations about the relationship between crew members and their environment on the ISS. Observations can help spacecraft designers understand how much habitable volume is required, and whether a mission’s duration impacts how much space crew members need.   Emergency Hardware Familiarization: Kopra and the 46S crew reviewed locations of equipment and positions of valves used in emergencies in both Russian and US segments. The crew conferred with ground teams at Mission Control Center (MCC) – Houston, MCC-Moscow, Columbus Control Center and JAXA Control Center during the review. They also practiced donning and purging emergency masks and demonstrated ability to communicate with the ground while wearing the masks.   Today’s Planned Activities All activities were completed unless otherwise noted. ISS crew and ГОГУ (RSA Flight Control Team) weekly conference r/g 1725 IMS Tagup (S-band) Removing two TV cameras СА1,2 and light units СГ2-14В from Soyuz 720 [CA]  (TV Cameras (2) to stowage in Soyuz 719 [БО] for return, light units – to Soyuz 720 [БО] for disposal) On MCC Go: ТА251М (ЛКТ4В2) Remove & Replace in SM r/g 1753 PILOT-T. Preparation for the experiment r/g 1760 EPO-ASTROPI – File Transfer EPO-ASTROPI – Hardware Removal PILOT-T. Experiment Ops. r/g 1760 Crew time for ISS adaptation and orientation PILOT-T. Experiment Ops.  r/g 1761 Crew time for ISS adaptation and orientation HABIT – Walkthrough Video Gathering  Centerline Berthing Camera System (CBCS) and Vestibule Outfitting Kit Equipment Cygnus Cargo Operations Review Review of Cygnus Capture Day Key Reminders PILOT-T. Closeout Ops r/g 1761 VIZIR. Infrared Coordinate Reference System [СКП-И] service application file downlink r/g 1759 Cygnus – Docking Conference. ISS Emergency Hardware Familiarization OBT СОЖ Maintenance Ghost Camera Setup Centerline Berthing Camera System (CBCS) Installation and Checkout Progress 429 (Aft) stowage for disposal and IMS Ops / r/g 1484, 1682 SHD – Weekly Questionnaire Emergency Mask OBT CALCIUM. Experiment Session 3 r/g 1758 Closure of SM window shutters 6,8,9,12,13,14 / r/g 6965 IMS Delta File Prep Cygnus – Cargo Operations Tagup Crew time for ISS adaptation and orientation   Completed Task List Items None   Ground Activities All activities were completed unless otherwise noted. Cygnus PROX GPSR data monitoring Cygnus rendezvous conference Nominal ground commanding   Three-Day Look Ahead: Saturday, 03/26: Cygnus capture/berth Sunday, 03/27: Cygnus ingress, cargo transfer ops Monday, 03/28: Crew off duty   QUICK ISS Status – Environmental Control Group:                               Component Status Elektron Off Vozdukh Manual [СКВ] 1 – SM Air Conditioner System (“SKV1”) Off [СКВ] 2 – SM Air Conditioner System (“SKV2”) On Carbon Dioxide Removal Assembly (CDRA) Lab Override Carbon Dioxide Removal Assembly (CDRA) Node 3 Operate Major Constituent Analyzer (MCA) Lab Idle Major Constituent Analyzer (MCA) Node 3 Operate Oxygen Generation Assembly (OGA) Process Urine Processing Assembly (UPA) Norm Trace Contaminant Control System (TCCS) Lab Off Trace Contaminant Control System (TCCS) Node 3 Full Up  

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Google Calendar Events get GMT Timezones for Anonymous Users

For the last two years now this problem has been present on several websites I built where when an anonymous user clicks a date on the ...

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Woman Tracks Down Her Anonymous Sperm Donor...And Marries Him

Woman Tracks Down Her Anonymous Sperm Donor...And Marries Him ... Using IVF she got pregnant from an anonymous sperm donor. When you ...

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I have a new follower on Twitter

David
140 characters of me and you'll wish you didn't know me.


Following: 6320 - Followers: 8135

March 25, 2016 at 09:30AM via Twitter http://twitter.com/David64227789

ISS Daily Summary Report – 03/24/16

USOS Crew Half Duty Day: Today and tomorrow are half-duty days for the USOS crew. They will spend this weekend performing Cygnus operations including vehicle capture and berthing Saturday and ingress and cargo transfer operations on Sunday. Monday will be a full off duty day for the crew. Multi-Omics Saliva Operations: Peake continued support of the Japan Aerospace Exploration Agency (JAXA) Multi-Omics investigation by collecting body samples this morning and inserting them in a Minus Eight-degree Freezer for ISS (MELFI). The Multi-Omics investigation evaluates the impacts of space environment and prebiotics on astronauts’ immune function, by combining the data obtained from the measurements of changes in the gut microbiological composition, metabolites profiles, and the immune system. Habitability Human Factors Post Questionnaire PI Conference: Kopra and Peake configured the INT-P Camcorder to participate in the live video downlink of Habitability and Human Factors post-Questionnaire PI Conference. The investigation collects observations about the relationship between crew members and their environment on the ISS. Observations can help spacecraft designers understand how much habitable volume is required, and whether a mission’s duration impacts how much space crew members need. On-Board Training (OBT) Cygnus Capture: The USOS crew members completed another practice session in preparation for Cygnus capture on Saturday. They performed three Capture Point hold runs and two meter runs.  Today’s Planned Activities All activities were completed unless otherwise noted. Multi Omics (MO) – Saliva Sample Collection Multi Omics (MO) – Sample Insertion into MELFI Multi Omics (MO) – Equipment Stowage Multi Omics (MO) – Questionnaire Daily Planning Conference (S-band) Video Footage of Greetings / r/g 1752 CARDIOVECTOR. Experiment Ops r/g 1734 OTKLIK. Hardware Monitoring / r/g 1588 CARDIOVECTOR. Photography of the Experiment Ops / r/g 1735 IDENTIFICATION. Copy ИМУ-Ц micro-accelerometer data to laptop / r/g 1589 MOTOCARD. Experiment Ops r/g 1742 MOTOCARD. Operator Assistance with the Experiment / r/g 1743 Crew time for ISS adaptation and orientation Soyuz 720 Transfers and IMS Ops / r/g 1691 СОЖ Maintenance HABIT – Adjusting camcorder and conducting conference PAO Hardware Setup Crew Prep for PAO Counter Measure System (CMS) Harmful Contaminant Measurements in SM – Handover / r/g 1737 Counter Measure System (CMS) Harmful Contaminant Measurements in SM / r/g 1737 PAO Event Analysis of SM Atmosphere for Freon Using Freon Leak Analyzer/Detector (ФИТ) – Handover r/g 1751 HABIT – Conference Ops On-board Training (OBT) Cygnus Rendezvous Review Soyuz 720 Transfers and IMS Ops / r/g 1691 On MCC GO ISS О2 Repress from Progress 429 (Aft) Cleaning FGB ЦВ1 Circulation Fan Screens On MCC GO De-installation of ЛКТ1В3 in Progress 429 r/g 1753 OBT – ROBoT onboard simulator – Session 2 Selection of Personal Hygiene Article for Priority Use / r/g 1754 Preparing for ТА251М (ЛКТ4В2) Replacement. r/g 1753 Crew time for ISS adaptation and orientation CONTENT. Experiment Ops / r/g 1736 TORU Test with Docked Progress 429 (SM Aft) r/g 1749 Camcorder Setup to View LAB RWS Monitor 3 Crew conference with Astronaut Office Flight Director / ISS Crew Tagup Crew time for ISS adaptation and orientation COGNITION – Experiment Ops Completed Task List Items None Ground Activities All activities were completed unless otherwise noted. OBT RoBOT support Nominal ground commanding Three-Day Look Ahead: Friday, 03/25: Cygnus capture review/rendezvous conference, OBT ISS emergency hardware familiarization Saturday, 03/26: Cygnus capture/berth Sunday, 03/27: Cygnus ingress, cargo transfer ops QUICK ISS Status – Environmental Control Group:                               Component Status Elektron Off Vozdukh Manual [СКВ] 1 – SM Air Conditioner System (“SKV1”) Off [СКВ] 2 – SM Air Conditioner System (“SKV2”) On Carbon Dioxide Removal Assembly (CDRA) Lab Override Carbon Dioxide Removal Assembly (CDRA) Node 3 Operate Major Constituent Analyzer (MCA) Lab Idle Major Constituent Analyzer (MCA) Node 3 Operate Oxygen Generation Assembly (OGA) Process Urine Processing Assembly (UPA) Norm Trace Contaminant Control System (TCCS) Lab Off Trace Contaminant Control System (TCCS) Node 3 Full Up

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Anonymous has declared war on Isis (again)

The cyber war between Anonymous and Isis is still, despite a Donald Trump-shaped interlude, raging on. After the tragic attacks on Paris last year, the ...

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The 7 Most Wanted Iranian Hackers By the FBI

The Federal Bureau of Investigation (FBI) has lengthened its Most Wanted List by adding seven Iranian hackers who are accused of attacking a range of US banks and a New York dam. On Thursday, the United States Department of Justice (DoJ) charged seven Iranian hackers with a slew of computer hacking offences for breaking into computer systems of dozens of US banks, causing Millions of

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Mac OS X Zero-Day Exploit Can Bypass Apple's Latest Protection Feature

A critical zero-day vulnerability has been discovered in all versions of Apple's OS X operating system that allows hackers to exploit the company’s newest protection feature and steal sensitive data from affected devices. With the release of OS X El Capitan, Apple introduced a security protection feature to the OS X kernel called System Integrity Protection (SIP). The feature is designed

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Anonymous targets Denver's Tattered Cover Book Store over city's handling of homeless

On March 12th, the most infamous of the critics, Anonymous, upped the ante ten-fold by threatening to dox any individuals and organizations that they ...

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GMM-3 Mars Gravity Map

Goddard Mars Model (GMM) 3 is a global map of the gravity field of Mars. It was created by studying the flight paths of three Mars-orbiting spacecraft — Mars Global Surveyor (MGS), Mars Odyssey (ODY), and Mars Reconnaissance Orbiter (MRO). The travel time and Doppler shift of radio signals sent between the spacecraft and the Earth-based dish antennas of the Deep Space Network are used to measure the position and velocity of each spacecraft. Over time, small variations in these orbital parameters allow scientists to build up an accurate and detailed gravity map of the red planet. If Mars were a perfectly smooth sphere of uniform density, the gravity experienced by the spacecraft would be exactly the same everywhere. But like other rocky bodies in the solar system, including the Earth, Mars has both a bumpy surface and a lumpy interior. As the spacecraft fly in their orbits, they experience slight variations in gravity caused by both of these irregularities, variations which show up as small changes in the velocity and altitude of the three spacecraft. The free-air gravity map shows these variations directly. The map is color-coded to display the departure from the mean gravity of Mars, in milligals, a unit of acceleration. Purple and blue mark areas where the acceleration due to gravity is lower than average, while red and white show where it's higher. The Bouguer gravity map subtracts the effect of the bumpy surface to show the lumpiness underneath. The elevation maps from the laser altimeter on MGS were used to create a model of what the gravity would be if Mars were bumpy but not lumpy. This model was then subtracted from the free-air map to produce the Bouguer map. The crustal thickness map is inferred from the Bouguer map: If the density of the crust is assumed to be uniform, then the gravity anomalies visible in the Bouguer gravity map can be explained by variations in the thickness of the crust. Highs in gravity indicate places where the denser mantle is closer to the surface, and hence where the crust is thinner. The orbit analysis accounted for solar radiation pressure and for the mass and the drag of the thin Martian atmosphere. It also detected the seasonal variation in the amount of carbon dioxide locked up in the polar ice caps as they freeze and thaw. While aiding navigation for future Mars missions, GMM-3 reveals information about the internal structure of Mars that provides important clues to the geological history of the red planet. Learn more about the GMM-3 Mars gravity map.

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Hickson 91 in Piscis Austrinus

Scanning the skies for galaxies, Canadian astronomer Paul Hickson and colleagues identified some 100 compact groups of galaxies, now appropriately called Hickson Compact Groups (HCGs). This sharp telescopic image captures one such galaxy group, HCG 91, in beautiful detail. The group's three colorful spiral galaxies at the center of the field of view are locked in a gravitational tug of war, their interactions producing faint but visible tidal tails over 100,000 light-years long. Their close encounters trigger furious star formation. On a cosmic timescale the result will be a merger into a large single galaxy, a process now understood to be a normal part of the evolution of galaxies, including our own Milky Way. HCG 91 lies about 320 million light-years away in the constellation Piscis Austrinus. But the impressively deep image also catches evidence of fainter tidal tails and galaxy interactions close to 2 billion light-years distant. via NASA http://ift.tt/1T7z7XN

I have a new follower on Twitter

SÔNIA MOSSRI
Brazilian journalist who left the mainstream media, writer, political economic risks analyst Against dictators, corporations, censhorship corruption.Pacifist.
New York City
https://t.co/GYh277Dn7S
Following: 8948 - Followers: 39224

March 24, 2016 at 10:04PM via Twitter http://twitter.com/soniamossri

A Diagram Is Worth A Dozen Images. (arXiv:1603.07396v1 [cs.CV])

Diagrams are common tools for representing complex concepts, relationships and events, often when it would be difficult to portray the same information with natural images. Understanding natural images has been extensively studied in computer vision, while diagram understanding has received little attention. In this paper, we study the problem of diagram interpretation and reasoning, the challenging task of identifying the structure of a diagram and the semantics of its constituents and their relationships. We introduce Diagram Parse Graphs (DPG) as our representation to model the structure of diagrams. We define syntactic parsing of diagrams as learning to infer DPGs for diagrams and study semantic interpretation and reasoning of diagrams in the context of diagram question answering. We devise an LSTM-based method for syntactic parsing of diagrams and introduce a DPG-based attention model for diagram question answering. We compile a new dataset of diagrams with exhaustive annotations of constituents and relationships for over 5,000 diagrams and 15,000 questions and answers. Our results show the significance of our models for syntactic parsing and question answering in diagrams using DPGs.

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Load Disaggregation Based on Aided Linear Integer Programming. (arXiv:1603.07417v1 [cs.AI])

Load disaggregation based on aided linear integer programming (ALIP) is proposed. We start with a conventional linear integer programming (IP) based disaggregation and enhance it in several ways. The enhancements include additional constraints, correction based on a state diagram, median filtering, and linear programming-based refinement. With the aid of these enhancements, the performance of IP-based disaggregation is significantly improved. The proposed ALIP system relies only on the instantaneous load samples instead of waveform signatures, and hence does not crucially depend on high sampling frequency. Experimental results show that the proposed ALIP system performs better than the conventional IP-based load disaggregation system.

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Pixel-Level Domain Transfer. (arXiv:1603.07442v1 [cs.CV])

We present an image-conditional image generation model. The model transfers an input domain to a target domain in semantic level, and generates the target image in pixel level. To generate realistic target images, we employ the real/fake-discriminator in Generative Adversarial Nets, but also introduce a novel domain-discriminator to make the generated image relevant to the input image. We verify our model through a challenging task of generating a piece of clothing from an input image of a dressed person. We present a high quality clothing dataset containing the two domains, and succeed in demonstrating decent results.

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An Expressive Probabilistic Temporal Logic. (arXiv:1603.07453v1 [cs.LO])

This paper argues that a combined treatment of probabilities, time and actions is essential for an appropriate logical account of the notion of probability; and, based on this intuition, describes an expressive probabilistic temporal logic for reasoning about actions with uncertain outcomes. The logic is modal and higher-order: modalities annotated by actions are used to express possibility and necessity of propositions in the next states resulting from the actions, and a higher-order function is needed to express the probability operator. The proposed logic is shown to be an adequate extension of classical mathematical probability theory, and its expressiveness is illustrated through the formalization of the Monty Hall problem.

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Probabilistic Reasoning via Deep Learning: Neural Association Models. (arXiv:1603.07704v1 [cs.AI])

In this paper, we propose a new deep learning approach, called neural association model (NAM), for probabilistic reasoning in artificial intelligence. We propose to use neural networks to model association between any two events in a domain. Neural networks take one event as input and compute a conditional probability of the other event to model how likely these two events are associated. The actual meaning of the conditional probabilities varies between applications and depends on how the models are trained. In this work, as two case studies, we have investigated two NAM structures, namely deep neural networks (DNNs) and relation modulated neural nets (RMNNs), on several probabilistic reasoning tasks in AI, including recognizing textual entailment, triple classification in multirelational knowledge bases and common-sense reasoning. Experimental results on several popular data sets derived from WordNet, FreeBase and ConceptNet have all demonstrated that both DNNs and RMNNs perform equally well and they can significantly outperform the conventional methods available for these reasoning tasks. Moreover, comparing with DNNs, RMNNs are superior in knowledge transfer, where a pre-trained model can be quickly extended to an unseen relation after observing only a few training samples.

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Low-Autocorrelation Binary Sequences: On Improved Merit Factors and Runtime Predictions to Achieve Them. (arXiv:1406.5301v5 [cs.DS] UPDATED)

The search for binary sequences with a high figure of merit, known as the low autocorrelation binary sequence ($labs$}) problem, represents a formidable computational challenge. To mitigate the computational constraints of the problem, we consider solvers that accept odd values of sequence length $L$ and return solutions for skew-symmetric binary sequences only -- with the consequence that not all best solutions under this constraint will be optimal for each $L$. In order to improve both, the search for best merit factor $and$ the asymptotic runtime performance, we instrumented three stochastic solvers, the first two are state-of-the-art solvers that rely on variants of memetic and tabu search ($lssMAts$ and $lssRRts$), the third solver ($lssOrel$) organizes the search as a sequence of independent contiguous self-avoiding walk segments. By adapting a rigorous statistical methodology to performance testing of all three combinatorial solvers, experiments show that the solver with the best asymptotic average-case performance, $lssOrel\_8 = 0.000032*1.1504^L$, has the best chance of finding solutions that improve, as $L$ increases, figures of merit reported to date. The same methodology can be applied to engineering new $labs$ solvers that may return merit factors even closer to the conjectured asymptotic value of 12.3248.

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2 Composiciones para instrumento de teclado (Anonymous)

Composer, Anonymous. Key, C major - G major. Movements/Sections, 2 Pieces. Year/Date of Composition, 18th c. Piece Style, Baroque.

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Baby Lambs in UK Receive Knitted Jumpers from Anonymous Donor

The Avon Valley Adventure and Wildlife Park in Bristol, England, says it received an anonymous package Monday filled with eight hand-knit jumpers ...

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Microsoft's Artificial Intelligence Tay Became a 'Racist Nazi' in less than 24 Hours

Tay, Microsoft’s new Artificial Intelligence (AI) chatbot on Twitter had to be pulled down a day after it launched, following incredibly racist comments and tweets praising Hitler and bashing feminists. Microsoft had launched the Millennial-inspired artificial intelligence chatbot on Wednesday, claiming that it will become smarter the more people talk to it. <!-- adsense --> The real-world

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McShay's Mock Draft 4.0: Ravens pick Oregon DE DeForest Buckner No. 6 overall; E. Kentucky DE Noah Spence in 2nd round (ESPN)

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I have a new follower on Twitter

Honest Hillary
Wall Street's Favorite Candidate™. I've been running for the White House for 30 damn years and it's my goddamn turn. NOT the real Hillary, because I'm honest.
Washington, DC
https://t.co/sPTs73MSz5
Following: 6835 - Followers: 6928

March 24, 2016 at 01:01PM via Twitter http://twitter.com/Honest_Hillary

I have a new follower on Twitter

App Discovery
All things #apps! Our featured app lets you create a profile that shares all of your favorite apps with your friends: https://t.co/yqxcNpiJTT
Los Angeles
https://t.co/yqxcNpiJTT
Following: 1539 - Followers: 571

March 24, 2016 at 01:01PM via Twitter http://twitter.com/AppDiscoveryNow

What is SMTP STS? How It improves Email Security for StartTLS?

Despite so many messaging apps, Email is still one of the widely used and popular ways to communicate in this digital age. But are your Emails secure? We are using email services for decades, but the underlying 1980s transport protocol used to send emails, Simple Mail Transfer Protocol (SMTP), is ancient and lacks the ability to secure your email communication entirely. However, to

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ISS Daily Summary Report – 03/23/16

Orbital 6 (OA-6) Launch: Cygnus launched successfully last night at 10:05PM CDT. Capture is scheduled for 5:40AM CDT this Saturday with vehicle ingress on Sunday and the beginning of cargo transfer operations. Robonaut Troubleshooting: Kopra set up a camcorder to capture standard definition video downlinks of Robonaut operations in the US Lab. He used the oscilloscope, multimeter and current probe to help guide ground teams with this troubleshooting by disengaging the controller card and successfully powering Robonaut without the controller card. The data collected from today’s activity will be analyzed by the ground to determine the cause of the fault in the power supply. Robonaut is a humanoid robot designed with the versatility and dexterity to manipulate hardware, work in high risk environments, and respond safely to unexpected obstacles. Robonaut is comprised of a torso with two arms and a head, and two legs with end effectors that enable the robot to translate inside the ISS by interfacing with handrails and seat track. In the future, it will perform tasks both inside and outside the ISS. The Robonaut Teleoperations System enables Robonaut to mimic the motions of a crewmember wearing specialized gloves, a vest and a visor providing a three-dimensional view through Robonaut’s eyes. Synchronized Position Hold, Engage, Reorient, and Experimental Satellites (SPHERES): Peake set up the EXPRESS Laptop Computer (ELC) and SPHERES work area and loaded the SPHERES and Avionics Stack with test session specific programs before beginning a test run. After completing the test session, Peake downloaded the data and disassembled the SPHERES and Docking Port hardware before re-assembling the Vertigo Goggles. SPHERES are bowling-ball sized spherical satellites that will be used inside the ISS to test a set of well-defined instructions for spacecraft performing autonomous rendezvous and docking maneuvers. Three free-flying spheres will fly in the cabin of the ISS, performing flight formations. Each satellite is self-contained with power, propulsion, computers and navigation equipment. The results are important for satellite servicing, vehicle assembly and formation flying spacecraft configurations. Space Automated Bioproduct Lab 1 (SABL1) Locker Troubleshooting: SABL was to undergo a two week checkout of the new facility in the Lab but the SABL hardware was powered off after the hardware temperature rose beyond the nominal range. Today Williams set up the XF305 Camcorder and removed SABL1 from the EXPRESS Rack 8 (ER8). He successfully repaired a dent in the inlet screen, then powered up SABL1 outside the ER to verify nominal fan/screen operation. SABL1 was re-installed in the ER and both SABL1 and 2 were powered on. The Moderate Temperature Loop (MTL) Quick Disconnect (QD) leaked during installation of SABL2, but stopped after the crew tightened it during their operations today. SABL is required for use with the Micro-10 investigation that has hardware arriving on SpX-8. SABL supports a wide variety of experiments in the life, physical and material sciences with a focus on supporting research of biological systems and processes. It is capable of supporting life science research on microorganisms, small organisms, animal cells, tissue cultures and small plants. Manufacturing Device – Additive Manufacturing Facility (AMF) Locker Preparation: In preparation for the Manufacturing Device that arrives on OA-6, Williams removed the ER locker, installed the vent closeout panel, and completed the Solid State Power Control Module (SSPCM) Access hole gray tape installation. The AMF enables the production of components on the ISS for both NASA and commercial objectives. Parts, entire experiments, and tools can be created on demand utilizing the AMF. It is also capable of producing parts out of a wide variety of thermopolymers including engineered plastics. OA-6 Arrival Preparations: In preparation for OA-6 arrival scheduled for this Saturday, the crew completed the following: On-Board Training (OBT) Cygnus Vehicle Operations: The USOS crew members reviewed training materials covering Cygnus attached phase operations. The review included an overview of Cygnus hardware, stowage and attached phase configuration. Node 3 (N3) Cleanup: Williams removed items from N3 and relocated to the Permanent Multipurpose Module (PMM) in preparation for OA-6 and SpX-8 arrival. Today’s Planned Activities All activities are on schedule unless otherwise noted. МО-8. Configuration Setup МО-8. Body Mass Measurement r/g 1729 МО-8. Closeout Ops Video Downlink End SPHERES – Battery Replacement ROBONAUT – Installation of camcorder for EPO video WRS Maintenance Faulty Operation of CPCI Robonaut. Removal of GoPro cameras in Soyuz 720. Transfer of Video to Hard Drive Filling (separation) of EDV (KOV) for Elektron or EDV-SV MD – Setup Ops SPHERES – Data Export COSMOCARD. Closeout Ops r/g 1716 WRS Maintenance СОЖ Maintenance SPHERES – Camera Setup and Video Recording CARDIOVECTOR. Experiment Ops r/g 1730 Crew time for ISS adaptation and orientation CARDIOVECTOR. Photography of the Experiment Ops / r/g 1731 Collect SM and FGB Air Samples Using АК-1М Sampler r/g 1732 SPHERES – Battery Stowage Soyuz 720 Transfers and IMS Ops / r/g 1691 SPHERES – Running Tests UDOD. Experiment Ops using DYKNANIYE-1 and SPRUT-2 Sets r/g 1744 UDOD. Photography of the Experiment Ops / r/g 1745 Crew time for ISS adaptation and orientation DOSETRK – Software Update Terminating charge of Soyuz 720 GoPro HERO3 Camcorder battery pair 1 and initiating charge of pair 2 DOSETRK – iPad configuration R2 – Hardware Deactivation and Stowage Familiarization with Auxiliary Computer System [ВКС] r/g 1740, 1741 DOSETRK – Data Export Station Support Computer (SSC) System Log-in SPHERES – Data Export Space Automated Bioproduct Lab 1 (SABL1) Locker Troubleshooting Crew time for ISS adaptation and orientation CALCIUM. Experiment Session 2 r/g 1733 DOSETRK – Data Export Progress 429 (Aft) Stowage and IMS Ops / r/g 1682, 1484 HABIT – Video of the Experiment [Deferred] Stow Earlier Installed Formaldehyde Monitoring Kit (FMK) Terminating charge of Soyuz 720 GoPro HERO3 Camcorder battery pair 2 Cygnus Ops Review GoPro cameras stowage in Soyuz 720 Verify ИП-1 sensor position – Handover / SM Pressure Control & Atmosphere Monitoring System Verification of ИП-1 Flow Sensor Position / SM Pressure Control & Atmosphere Monitoring System Multi Omics (MO) – Saliva collection equipment setup MERLIN Desiccant Swap N3 Cleanup CONTENT. Experiment Ops […]

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network-anonymous-i2p

network-anonymous-i2p. Haskell API for I2P anonymous networking http://ift.tt/1XpDzUYanonymous-i2p ...

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Why Were You Anonymous? Why Did You Go Public?

Atlantic founder Chuck Feeney, a modest man who shuns the spotlight, chose to keep his foundation's operations anonymous in its early days.

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The Great Nebula in Carina

In one of the brightest parts of Milky Way lies a nebula where some of the oddest things occur. NGC 3372, known as the Great Nebula in Carina, is home to massive stars and changing nebulas. The Keyhole Nebula (NGC 3324), the bright structure just above the image center, houses several of these massive stars and has itself changed its appearance. The entire Carina Nebula spans over 300 light years and lies about 7,500 light-years away in the constellation of Carina. Eta Carinae, the most energetic star in the nebula, was one of the brightest stars in the sky in the 1830s, but then faded dramatically. Eta Carinae is the brightest star near the image center, just left of the Keyhole Nebula. While Eta Carinae itself maybe on the verge of a supernova explosion, X-ray images indicate that much of the Great Carina Nebula has been a veritable supernova factory. via NASA http://ift.tt/25mesUK

I have a new follower on Twitter

Natalie Lisowska
Teacher & Data Nerd with a passion for dogs, tomatoes and social justice. I'm an infographic enthusiast also.
Washington, DC

Following: 4513 - Followers: 5079

March 23, 2016 at 11:09PM via Twitter http://twitter.com/datamatos

Comparing Human and Automated Evaluation of Open-Ended Student Responses to Questions of Evolution. (arXiv:1603.07029v1 [cs.AI])

Written responses can provide a wealth of data in understanding student reasoning on a topic. Yet they are time- and labor-intensive to score, requiring many instructors to forego them except as limited parts of summative assessments at the end of a unit or course. Recent developments in Machine Learning (ML) have produced computational methods of scoring written responses for the presence or absence of specific concepts. Here, we compare the scores from one particular ML program -- EvoGrader -- to human scoring of responses to structurally- and content-similar questions that are distinct from the ones the program was trained on. We find that there is substantial inter-rater reliability between the human and ML scoring. However, sufficient systematic differences remain between the human and ML scoring that we advise only using the ML scoring for formative, rather than summative, assessment of student reasoning.

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Cosolver2B: An Efficient Local Search Heuristic for the Travelling Thief Problem. (arXiv:1603.07051v1 [cs.AI])

Real-world problems are very difficult to optimize. However, many researchers have been solving benchmark problems that have been extensively investigated for the last decades even if they have very few direct applications. The Traveling Thief Problem (TTP) is a NP-hard optimization problem that aims to provide a more realistic model. TTP targets particularly routing problem under packing/loading constraints which can be found in supply chain management and transportation. In this paper, TTP is presented and formulated mathematically. A combined local search algorithm is proposed and compared with Random Local Search (RLS) and Evolutionary Algorithm (EA). The obtained results are quite promising since new better solutions were found.

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Debugging Machine Learning Tasks. (arXiv:1603.07292v1 [cs.LG])

Unlike traditional programs (such as operating systems or word processors) which have large amounts of code, machine learning tasks use programs with relatively small amounts of code (written in machine learning libraries), but voluminous amounts of data. Just like developers of traditional programs debug errors in their code, developers of machine learning tasks debug and fix errors in their data. However, algorithms and tools for debugging and fixing errors in data are less common, when compared to their counterparts for detecting and fixing errors in code. In this paper, we consider classification tasks where errors in training data lead to misclassifications in test points, and propose an automated method to find the root causes of such misclassifications. Our root cause analysis is based on Pearl's theory of causation, and uses Pearl's PS (Probability of Sufficiency) as a scoring metric. Our implementation, Psi, encodes the computation of PS as a probabilistic program, and uses recent work on probabilistic programs and transformations on probabilistic programs (along with gray-box models of machine learning algorithms) to efficiently compute PS. Psi is able to identify root causes of data errors in interesting data sets.

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On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis. (arXiv:1603.07294v1 [cs.LG])

Bayesian inference has great promise for the privacy-preserving analysis of sensitive data, as posterior sampling automatically preserves differential privacy, an algorithmic notion of data privacy, under certain conditions (Wang et al., 2015). While Wang et al. (2015)'s one posterior sample (OPS) approach elegantly provides privacy "for free," it is data inefficient in the sense of asymptotic relative efficiency (ARE). We show that a simple alternative based on the Laplace mechanism, the workhorse technique of differential privacy, is as asymptotically efficient as non-private posterior inference, under general assumptions. The Laplace mechanism has additional practical advantages including efficient use of the privacy budget for MCMC. We demonstrate the practicality of our approach on a time-series analysis of sensitive military records from the Afghanistan and Iraq wars disclosed by the Wikileaks organization.

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Mutual Information and Diverse Decoding Improve Neural Machine Translation. (arXiv:1601.00372v2 [cs.CL] UPDATED)

Sequence-to-sequence neural translation models learn semantic and syntactic relations between sentence pairs by optimizing the likelihood of the target given the source, i.e., $p(y|x)$, an objective that ignores other potentially useful sources of information. We introduce an alternative objective function for neural MT that maximizes the mutual information between the source and target sentences, modeling the bi-directional dependency of sources and targets. We implement the model with a simple re-ranking method, and also introduce a decoding algorithm that increases diversity in the N-best list produced by the first pass. Applied to the WMT German/English and French/English tasks, the proposed models offers a consistent performance boost on both standard LSTM and attention-based neural MT architectures.

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[FD] APPLE-SA-2016-03-21-7 OS X Server 5.1

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[FD] APPLE-SA-2016-03-21-6 Safari 9.1

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[FD] APPLE-SA-2016-03-21-5 OS X El Capitan 10.11.4 and Security Update 2016-002

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[FD] APPLE-SA-2016-03-21-4 Xcode 7.3

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[FD] APPLE-SA-2016-03-21-3 tvOS 9.2

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[FD] APPLE-SA-2016-03-21-2 watchOS 2.2

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[FD] APPLE-SA-2016-03-21-1 iOS 9.3

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Beautiful/Anonymous - The Illustrator

Beautiful/Anonymous - The Illustrator - The tension between fine art and commerce. Posted by Danielle Geva, on Product Hunt.

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I have a new follower on Twitter

Zesty Orioles News
Twitter's #1 #Orioles account! We constantly comb the web for the best and freshest Orioles articles so we can share them with our followers.
Baltimore, MD
https://t.co/wxinr5ui5N
Following: 461 - Followers: 16

March 23, 2016 at 02:50PM via Twitter http://twitter.com/zesty_orioles

Doesn't work for anonymous users

Doesn't work for anonymous users (1 post). Taxifisch Member Posted 2 minutes ago #. Hi, we installed YASR together with the YASR user review ...

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I have a new follower on Twitter

Joe and Jenelle
Joe & Jenelle Iuliucci - Keller Williams Realty - 888-980-9820 Southern Nevada & Southern California - Las Vegas, Henderson, Mission Viejo, Corona, Yorba Linda
So.Nevada & So.California
http://t.co/8CVmHDP5tz
Following: 5569 - Followers: 7702

March 23, 2016 at 02:44PM via Twitter http://twitter.com/vegasreo

Israeli Forensic Firm 'Cellebrite' is Helping FBI to Unlock Terrorist's iPhone

Meet the security company that is helping Federal Bureau of Investigation (FBI) in unlocking San Bernardino shooters’ iPhone: The Israeli mobile forensics firm Cellebrite. Yes, Cellebrite – the provider of mobile forensic software from Israel – is helping the FBI in its attempt to unlock iPhone 5C that belonged to San Bernardino shooter, Syed Rizwan Farook, the Israeli YNetNews reported

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Orioles: 3B Manny Machado No. 18 in Baseball Tonight's ranking of MLB's top 100 players; jumped from last year's No. 59 (ESPN)

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Warning! Think Twice Before Using USB Drives

Security researchers have discovered a new data-stealing Trojan that makes special use of USB devices in order to spread itself and does not leave any trace of activity on the compromised systems. Dubbed USB Thief ( or Win32/PSW.Stealer.NAI), the malware has the capability of stealthy attacking against air-gapped or isolated computers, warns ESET security firm. The malware author has

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Badlock — Unpatched Windows-Samba Vulnerability Affects All Versions of Windows

Security researchers have discovered a nasty security vulnerability that is said to affect almost every version of Windows and Samba and will be patched on April 12, 2016, the Samba development team announced Tuesday. So, Save the Date if you are a Windows or Samba file server administrator. Samba is a free, open source implementation of the SMB/CIFS network file sharing protocol that

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Orioles: RP Zach Phillips agrees to 1-year deal after declining re-assignment by White Sox last week; 19 career games (ESPN)

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[FD] Facebook Messenger (iOS) Certificate Validation Vulnerability

Classification: //Dell SecureWorks/Public Use: Classification: //Dell SecureWorks/Public Use: Advisory Information ================= Title: Facebook Messenger (iOS) Certificate Validation Vulnerability Advisory ID: SWRX-2016-001 Advisory URL: http://ift.tt/1RhXNbt Date published: Tuesday, March 22, 2016 CVE: Not assigned CVSS v2 base score: 5.8 Date of last update: Tuesday, March 22, 2016 Vendors contacted: Facebook, Inc. Release mode: Coordinated Discovered by: Sean Wright, Dell SecureWorks Summary ======== The Facebook social networking service includes a mobile application called Messenger that allows users to send private messages to their Facebook contacts. Although the application uses HTTPS to communicate with the backend servers, insufficient validation (only when the device is configured to use a proxy) of the certificates returned by these servers leaves the application open to man-in-the-middle (MITM) attacks. SecureWorks Europe Limited is registered in England and Wales. Company Registration Number: 9546890 Registered address: Dell House, The Boulevard, Cain Road, Bracknell, Berkshire, RG12 1LF, UK. Company details for other Dell UK entities can be found on www.dell.co.uk.

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[FD] Remote Code Execution in DVR affecting over 70 different vendors

0day exploit affecting CCTV DVR of over 70 different vendors. Attached is a link to the research containing the vulnerability description and a working exploit. In addition, It discuss the problem in performing responsible disclosure with white label products. Full research - http://ift.tt/1ZoWzQP

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[FD] HTTPS Only 3.1 (Detailed Analysis, Browser Security, Open Source, Python)

To secure browser which is very fragile, the approach of HTTPS Only 3.1 is exceptionally simple: 1. Only HTTPS URLs(no other protocols) 2. Whitelist of domains(anything outside of whitelist is blocked) Now, let's look at threats: 1. Man in the middle - it's fixed. 2. Phishing always requires the browser to load attacker's website, so it's permanently dead here. 3. Drive-by Download - dead(if applied strictly, unable to download the executable) 4. Clickjacking - dead(attacker's web page is unreachable) 5. Address Spoofing - dead too(just unable to load the fake content) 6. XSS - almost dead(for attacker, the XSS vulnerability has to be GET, because POST requires attacker's HTML) 7. CSRF - almost dead(for attacker, the CSRF vulnerability has to be GET, and modern web applications simply don't do important things in GET, because it can be bookmarked etc, too dangerous) URLs: Project Home Page: http://ift.tt/1VTYTNR View Source Code: http://ift.tt/1XMFhvC Kind Regards,

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[FD] Executable installers are vulnerable^WEVIL (case 32): Comodo's installers allow arbitrary (remote) code execution WITH escalation of privilege

FBI Most Wanted — Three 'Syrian Electronic Army' Hackers Charged for Cyber Crime

Syrian Electronic Army (SEA) Hackers have made their place on the FBI's Most Wanted List. The US Department of Justice and the Federal Bureau of Investigation (FBI) are willing to pay $100,000 reward for any information that leads to the arrest of the heads of the infamous hacking group Syrian Electronic Army. On Tuesday, the DoJ unsealed charges against three suspected members of the

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The Mars Fleet

A fleet of robotic spacecraft is exploring the Red Planet, sending back an ever-growing flood of data. While rovers like Curiosity blaze tracks through the fine Martian soil, orbiters like MAVEN and MRO circle high overhead, gazing down at the planet's atmosphere and surface and relaying ground-based data back to Earth. The Mars fleet is providing mission controllers at NASA, the European Space Agency, and the Indian Space Research Organisation with a remote presence on Mars. This visualization shows the landing sites of NASA's past and present landers and rovers; the nearly circular orbits of NASA's Mars Odyssey and Mars Reconnaissance Orbiter; the elliptical orbits of NASA's MAVEN satellite and ESA's Mars Express; and the highly elliptical path of ISRO's Mars Orbiter Mission. The orbits of Mars' two moons, Phobos and Deimos, are also depicted. Learn more about NASA's Mars Exploration Program.

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GMM-3 Mars Gravity Map

Goddard Mars Model (GMM) 3 is a global map of the gravity field of Mars. It was created by studying the flight paths of three Mars-orbiting spacecraft — Mars Global Surveyor (MGS), Mars Odyssey (ODY), and Mars Reconnaissance Orbiter (MRO). The travel time and Doppler shift of radio signals sent between the spacecraft and the Earth-based dish antennas of the Deep Space Network are used to measure the position and velocity of each spacecraft. Over time, small variations in these orbital parameters allow scientists to build up an accurate and detailed gravity map of the red planet. If Mars were a perfectly smooth sphere of uniform density, the gravity experienced by the spacecraft would be exactly the same everywhere. But like other rocky bodies in the solar system, including the Earth, Mars has both a bumpy surface and a lumpy interior. As the spacecraft fly in their orbits, they experience slight variations in gravity caused by both of these irregularities, variations which show up as small changes in the velocity and altitude of the three spacecraft. The free-air gravity map shows these variations directly. The map is color-coded to display the departure from the mean gravity of Mars, in milligals, a unit of acceleration. Purple and blue mark areas where the acceleration due to gravity is lower than average, while red and white show where it's higher. The Bouguer gravity map subtracts the effect of the bumpy surface to show the lumpiness underneath. The elevation maps from the laser altimeter on MGS were used to create a model of what the gravity would be if Mars were bumpy but not lumpy. This model was then subtracted from the free-air map to produce the Bouguer map. The crustal thickness map is inferred from the Bouguer map: If the density of the crust is assumed to be uniform, then the gravity anomalies visible in the Bouguer gravity map can be explained by variations in the thickness of the crust. Highs in gravity indicate places where the denser mantle is closer to the surface, and hence where the crust is thinner. The orbit analysis accounted for solar radiation pressure and for the mass and the drag of the thin Martian atmosphere. It also detected the seasonal variation in the amount of carbon dioxide locked up in the polar ice caps as they freeze and thaw. While aiding navigation for future Mars missions, GMM-3 reveals information about the internal structure of Mars that provides important clues to the geological history of the red planet. Learn more about the GMM-3 Mars gravity map.

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Rainbow Airglow over the Azores

Why would the sky glow like a giant repeating rainbow? Airglow. Now air glows all of the time, but it is usually hard to see. A disturbance however -- like an approaching storm -- may cause noticeable rippling in the Earth's atmosphere. These gravity waves are oscillations in air analogous to those created when a rock is thrown in calm water. The long-duration exposure nearly along the vertical walls of airglow likely made the undulating structure particularly visible. OK, but where do the colors originate? The deep red glow likely originates from OH molecules about 87-kilometers high, excited by ultraviolet light from the Sun. The orange and green airglow is likely caused by sodium and oxygen atoms slightly higher up. The featured image was captured during a climb up Mount Pico in the Azores of Portugal. Ground lights originate from the island of Faial in the Atlantic Ocean. A spectacular sky is visible through this banded airglow, with the central band of our Milky Way Galaxy running up the image center, and M31, the Andromeda Galaxy, visible near the top left. via NASA http://ift.tt/1SfcRc5

Anonymous user 83967f

Name, Anonymous user 83967f. User since, March 21, 2016. Number of add-ons developed, 2 themes. Average rating of developer's add-ons, Not yet ...

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I have a new follower on Twitter

Luca Sadurny
Managing Partner at @mosalingua / Polyglot / Growth Hacker. I tweet about #languagelearning, #apps #webmarketing #mobilemarketing, #SEO #growthhacking...
Lyon, Francia
https://t.co/eZ00WIq2nX
Following: 2881 - Followers: 3214

March 22, 2016 at 10:48PM via Twitter http://twitter.com/lucasadurny

ISS Daily Summary Report – 03/22/16

Orbital 6 (OA-6) Launch:  Cygnus is scheduled to launch from Kennedy Space Center tonight at 10:05PM CDT. Capture is scheduled for Saturday, March 26 at 5:40AM CDT with ingress on Sunday, March 27 and the beginning of cargo transfer operations.   NeuroMapping: Kopra completed a NeuroMapping Neurocognitive test on a Human Research Facility (HRF) laptop.  The experiment studies whether long-duration spaceflight causes changes to the brain, including brain structure and function, motor control, and multi-tasking; as well as measuring how long it takes for the brain and body to recover from those possible changes. Previous research and anecdotal evidence from crewmembers returning from a long-duration spaceflight suggests that movement control and cognition are affected in microgravity.   Marrow: Williams completed his Launch plus 4 day (L+4) blood, breath and air samples after waking today for the Canadian Space Agency (CSA) Marrow investigation.  This investigation studies the effect of microgravity on human bone marrow. It is believed that microgravity, like long-duration bed rest on Earth, has a negative effect on the bone marrow and the blood cells that are produced in the marrow. The extent of this effect, and its recovery, are of interest to space research and healthcare providers on Earth.   Dose Tracker: Peake completed entries for medication tracking which documents the medication usage of crew members before and during their missions by capturing data regarding medication use during spaceflight, including side effect qualities, frequencies and severities. The data is expected to either support or counter anecdotal evidence of medication ineffectiveness and unusual side effects experienced during flight. It is also expected that specific, near-real-time questioning about symptom relief and side effects will provide the data required to establish whether spaceflight-associated alterations in pharmacokinetics (PK) or pharmacodynamics (PD) is occurring during missions. Synchronized Position Hold, Engage, Reorient, and Experimental Satellites (SPHERES): Peake charged and swapped several sets of batteries to support the SPHERES investigation activities scheduled this week. SPHERES are bowling-ball sized spherical satellites. They will be used to test a set of well-defined instructions for spacecraft performing autonomous rendezvous and docking maneuvers. Three free-flying spheres will fly within the cabin of the ISS, performing flight formations. Each satellite is self-contained with power, propulsion, computers and navigation equipment. The results are important for satellite servicing, vehicle assembly and formation flying spacecraft configurations. Habitability Human Factors Directed Observations: Kopra and Peake viewed assorted videos to review the different sessions of the Habitability experiment. The Habitability investigation collects observations about the relationship between crew members and their environment on the ISS. Observations help spacecraft designers understand how much habitable volume is required, and whether a mission’s duration impacts how much space crew members need. USOS Crew Handover: Kopra conducted this handover with Williams to discuss recommendations for on-orbit practices and lessons learned related to ISS systems and payloads. They also covered generic safety reminders, use of exercise equipment and specific information about each module.   Emergency Roles and Responsibilities Review: All six crew members participated in this review. Topics covered included crew accountability during an emergency situation such as a Soyuz retreat, Commander Responsibilities and procedure strategy for crew members.   In-Flight Maintenance (IFM) Bacteria Filters: Kopra Removed & Replaced (R&R) bacteria filters and cleaned area smoke detectors in Node 3. He also R&Rd the filters in the AirLock and cleaned the Inter Module Ventilation (IMV) return screens.  Systems that had to be safed for that operation are being brought back online.   Today’s Planned Activities All activities are on schedule unless otherwise noted. MARROW – Air Sampling Morning Inspection. SM ПСС (Caution & Warning Panel) Test / Manual Controls [РСУ] Inspection of СМ-У, РУ2, РУ4, РУ5 connector on МНР-НС separator pump in [АСУ] behind panel 139 and line 5182-03 from Pretreat and Water Dispenser (ДКиВ) to [МНР] in its transparent section CSA – Blood collection – Operator CSA – Blood Collection CSA – Refrigerated Centrifuge Configuration SPHERES – Battery Charging CSA – Refrigerated Centrifuge Spin Conclude CSA – Sample Insertion into MELFI CSA – Blood Sample Collection Closeout Ops Water Recovery and Management (WRM): Condensate Pumping Initiation Gas Analyzer Deactivation in Soyuz 719 / Soyuz 719 Gas Analyzer Deactivation in Soyuz 720 / Soyuz 720 Microgravity Science Glovebox (MSG) – MLC Troubleshooting СОЖ Maintenance MSG power off Soyuz 720 Samsung Tablet Recharge – initiate Water Recovery Management (WRM): Iodine Fill – start COSMOCARD. Closeout Ops. Tagup with specialists / r/g 1703 HABIT – Preparing for the experiment Crew time for ISS adaptation and orientation Water Recovery and Management (WRM):  Condensate Pumping Termination COSMOCARD. Photography of the Experiment Ops / r/g 1717 COSMOCARD. Setup. Starting 24-hr ECG Recording r/g 1716 Progress 429 (Aft) Stowage and IMS Ops / r/g 1682 Soyuz 720 Transfers and IMS Ops / r/g 1691 Water Recovery Management (WRM): Iodine Fill – End OA-6 (Cygnus) – Cargo Environment Sensor (CES) Data Download SEISMOPROGNOZ. Downlink data from Control and Data Acquisition Module (МКСД) HDD (start) r/g 1721 SPHERES – Battery Replacement MELFI – Transfer of MICROBE IV bags from MELFI 3 to MELFI 1 URAGAN. SW Update for Photo Spectrum System (ФСС) P/L r/g 1724 PMM Cleanup, Part 3 HABIT – Data Recording to iPad Soyuz 720 Samsung tablet charge – end DOSETRK – Data Export Habitability – Questionnaire Preventive maintenance of MRM2 АСП-О Hatch Sealing Mechanism and Soyuz 720 hatch Transfer of brine/urine from EDV-U into Progress 431 (DC1) Rodnik H2O Tank2 – Handover / r/g 1723 Transfer of brine/urine from EDV-U into Progress 431 (DC1) Rodnik H2O Tank2 / r/g 1723 Test procedure and plan SPHERES – Tagup with specialists regarding the Experiment SPHERES – Battery Replacement Crew Prep for PAO PAO Hardware Setup PAO Event Safety Handover Procedure Review Bringing ODF up to date using ТК 720 delivered files / r/g 1720 SPHERES – Battery Replacement Crew time for ISS adaptation and orientation Soyuz 719 Samsung Tablet Recharge – Initiate Gather Items Required for Airlock and Node 3 Bacteria Filter R&R CONTENT. Experiment Ops  r/g 1718 IMS Delta File Prep NMAP – Experiment Test […]

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Learning Executable Semantic Parsers for Natural Language Understanding. (arXiv:1603.06677v1 [cs.CL])

For building question answering systems and natural language interfaces, semantic parsing has emerged as an important and powerful paradigm. Semantic parsers map natural language into logical forms, the classic representation for many important linguistic phenomena. The modern twist is that we are interested in learning semantic parsers from data, which introduces a new layer of statistical and computational issues. This article lays out the components of a statistical semantic parser, highlighting the key challenges. We will see that semantic parsing is a rich fusion of the logical and the statistical world, and that this fusion will play an integral role in the future of natural language understanding systems.

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Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus. (arXiv:1603.06807v1 [cs.CL])

Over the past decade, large-scale supervised learning corpora have enabled machine learning researchers to make substantial advances. However, to this date, there are no large-scale question-answer corpora available. In this paper we present the 30M Factoid Question-Answer Corpus, an enormous question-answer pair corpus produced by applying a novel neural network architecture on the knowledge base Freebase to transduce facts into natural language questions. The produced question-answer pairs are evaluated both by human evaluators and using automatic evaluation metrics, including well-established machine translation and sentence similarity metrics. Across all evaluation criteria the question-generation model outperforms the competing template-based baseline. Furthermore, when presented to human evaluators, the generated questions appear to be indistinguishable from real human-generated questions.

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Feeling the Bern: Adaptive Estimators for Bernoulli Probabilities of Pairwise Comparisons. (arXiv:1603.06881v1 [cs.LG])

We study methods for aggregating pairwise comparison data in order to estimate outcome probabilities for future comparisons among a collection of n items. Working within a flexible framework that imposes only a form of strong stochastic transitivity (SST), we introduce an adaptivity index defined by the indifference sets of the pairwise comparison probabilities. In addition to measuring the usual worst-case risk of an estimator, this adaptivity index also captures the extent to which the estimator adapts to instance-specific difficulty relative to an oracle estimator. We prove three main results that involve this adaptivity index and different algorithms. First, we propose a three-step estimator termed Count-Randomize-Least squares (CRL), and show that it has adaptivity index upper bounded as $\sqrt{n}$ up to logarithmic factors. We then show that that conditional on the hardness of planted clique, no computationally efficient estimator can achieve an adaptivity index smaller than $\sqrt{n}$. Second, we show that a regularized least squares estimator can achieve a poly-logarithmic adaptivity index, thereby demonstrating a $\sqrt{n}$-gap between optimal and computationally achievable adaptivity. Finally, we prove that the standard least squares estimator, which is known to be optimally adaptive in several closely related problems, fails to adapt in the context of estimating pairwise probabilities.

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Ravens: Owner Steve Bisciotti to charter plane from Baltimore to Florida so team can attend CB Tray Walker's funeral (ESPN)

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How to set a different frontpage to user/login for anonymous users

How can I display a custom page in the front page to anonymous users, avoiding the actual redirection to the user login form? I have tried it installing ...

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NFL: Ravens coach John Harbaugh says team has \"unofficial agreement\" with RB Trent Richardson; No. 3 overall pick 2012 (ESPN)

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ISS Daily Summary Report – 03/21/16

Strata-1 Locker Preparation: On Saturday, Peake removed the EXPRESS Rack 8 locker from the Lab in preparation for the OA-6 Strata-1 installation. Strata-1 investigates the properties and behavior of regolith on small, airless bodies.  Regolith is the impact-shattered “soil” found on asteroids, comets, the Moon, and other airless worlds, but it is different from soil here on Earth in that it contains no living material.  Strata-1’s goal is to give us answers about how regolith behaves and moves in microgravity, how easy or difficult it is to anchor a spacecraft in regolith, how it interacts with spacecraft and spacesuit materials, and other important properties.  It is important to NASA to know how to set anchors in regolith, how to safely move and process large volumes of regolith, and predict and prevent risk to spacecraft and astronauts visiting these small bodies.   Marrow Breath and Ambient Air Sample Setup: Williams prepared and temp stowed Marrow and GSC air sample collection hardware in the crew quarters for the Canadian Space Agency (CSA) Marrow investigation. The crew takes breath and ambient air samples immediately after waking. This investigation measures the effects of microgravity-induced marrow fat accumulation on red and white blood cells metabolism using breath and ambient air samples to measure carbon monoxide concentration.   Radiation Area Monitor (RAM) Deploy: Williams installed 17 Area Dosimeter throughout the JEM Pressurized Module (JPM) and Japanese Experiment Logistics Module-Pressurized Section (JLP) for space radiation dosimetry. He also photographed each Area Dosimeter for ground verification purposes. JAXA Area PADLES (Area Passive Dosimeter for Life-Science Experiments in Space) is an investigation that uses area dosimeters to continuously monitor the radiation dose aboard the ISS. Radiation exposure can have significant biological effects on living organisms including the biological investigations being done on ISS in the JEM. Robonaut: On March 3 during Robonaut troubleshooting the Oscilloscope indicated an error message. Earlier this morning, Kopra ran a procedure and verified that the Oscilloscope is performing nominally. He also pre-staged probes for upcoming Robonaut troubleshooting.   Observation and Analysis of Smectic Islands in Space (OASIS) Sample Container Exchange: Kopra removed the OASIS hard drive from the Optics/Illumination and removed the hardware from the Microgravity Science Glovebox (MSG) and stowed. Kopra completed the final science run of the OASIS experiment last week.   Combustion Integrated Rack (CIR) Manifold Bottle Remove & Replace (R&R): Peake R&Rd a CIR Manifold Bottle on one of four CIR Manifolds. CIR provides sustained, systematic microgravity combustion research and houses hardware capable of performing combustion experiments to further research combustion in microgravity. This is for continuation of the Flame Extinguishment – 2 (FLEX 2) investigation. The FLEX-2 experiment is the second experiment to fly on the ISS which uses small droplets of fuel to study the special spherical characteristics of burning fuel droplets in space. The experiment studies how quickly fuel burns, the conditions required for soot to form, and how mixtures of fuels evaporate before burning. Understanding these processes could lead to the production of a safer spacecraft as well as increased fuel efficiency for engines using liquid fuel on Earth   Multi-Omics Saliva Operations: Peake supported the Japan Aerospace Exploration Agency (JAXA) Multi-Omics investigation by collecting body samples and inserting the samples in a Minus Eight-degree Freezer for ISS (MELFI) Rack. The Multi-Omics analysis of human microbial-metabolic cross-talk in the space ecosystem investigation evaluates the impacts of space environment and prebiotics on astronauts’ immune function, by combining the data obtained from the measurements of changes in the gut microbiological composition, metabolites profiles, and the immune system.   Microbiome:  Kopra completed a body sample collection and stowed the samples in a MELFI Rack. Microbiome investigates the impact of space travel on both the human immune system and an individual’s Microbiome (the collection of microbes that live in and on the human body at any given time).   Habitability Human Factors Directed Observations: Peake and Williams viewed various videos covering the different sessions of the Habitability experiment. The investigation collects observations about the relationship between crew members and their environment on the ISS. Observations can help spacecraft designers understand how much habitable volume is required and whether a mission’s duration impacts how much space crew members need.   Orbital 6 (OA-6) On-Board Training (OBT) Offset Grapple Practice: Robotics Ground Controllers powered up the Mobile Serving System (MSS) in preparation for OA-6 Offset Grapple practice session.  Ground Controllers also performed the MSS Pre-Launch Checkouts. The USOS crew practiced maneuvering the Space Station Remote Manipulator System (SSRMS) into the grapple envelope of the Permanent Multipurpose Module (PMM) Flight Releasable Grapple Fixture (FRGF).  They performed this several times as well as a final run during which Ground Controllers safed the SSRMS to simulate a failure.  The crew recovered by switching from the Cupola Robotic Workstation (RWS) to the Lab RWS.  After the Offset Grapples Practice session, Ground Controllers reconfigured the MSS for nominal operations and maneuvered the SSRMS to the Node 1 Nadir Active Common Berthing System (ABCM) survey position in preparation for OA-6 capture on March 26.   ARED Maintenance: Williams performed a task to tighten the set screws within the ARED flywheels and main arm fasteners.  Two of the four set screws on the left side flywheel were unable to be torqued.  However, ground teams accepted closeout of the procedure based on nominal torquing of the remaining set screws which resulted in minimal rotation of those screws.   Today’s Planned Activities All activities were completed unless otherwise noted. HRF – Blood collection assistance HRF – Sample Insertion into MELFI SM Ventilation Subsystem Preventive Maintenance, Group E FGB ЦВ2 Circulation Fan Cleaning Vacuum Cleaning SM, DC1, MRM1, MRM2 Dust Filters Inspection of Air Conditioner for moisture Formaldehyde Monitoring Kit (FMK) Deployment Operations Grab Sample Container (GSC) Sampling Operations HRF – Equipment Stowage MELFI- Overview OBT Multi Omics (MO) – Bag retrieval Handover Multi Omics (MO) – Checking packages before stowage Multi Omics (MO) – Sample Collection Station Support Computer [X] Log Off Crew time for ISS adaptation and orientation Multi Omics (MO) – […]

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FBI may have found a New Way to Unlock Shooter's iPhone without Apple

There's more coming to the high-profile Apple vs. FBI case. The Federal Bureau of Investigation (FBI) might not need Apple's assistance to unlock iPhone 5C that was belonged to San Bernardino shooter Syed Rizwan Farook. If you have followed the San Bernardino case closely, you probably know everything about the ongoing encryption battle between the FBI and Apple. In short, the US

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Anonymous user 32e954

Name, Anonymous user 32e954. User since, March 6, 2016. Number of add-ons developed, 0 add-ons. Average rating of developer's add-ons, Not ...

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[FD] [RT-SA-2016-002] Cross-site Scripting in Securimage 3.6.2

Advisory: Cross-site Scripting in Securimage 3.6.2 RedTeam Pentesting discovered a cross-site scripting (XSS) vulnerability in the Securimage CAPTCHA software, which allows attackers to inject arbitrary JavaScript code via a crafted URL. Details ======= Product: Securimage Affected Versions: >= 3.2RC1 Fixed Versions: 3.6.4 Vulnerability Type: Cross-site Scripting Security Risk: high Vendor URL: http://ift.tt/1VyBKT7 Vendor Status: fixed version released Advisory URL: http://ift.tt/1S2KAmt Advisory Status: published CVE: GENERIC-MAP-NOMATCH CVE URL: http://ift.tt/1jQGmEN Introduction ============ "Securimage is an open-source free PHP CAPTCHA script for generating complex images and CAPTCHA codes to protect forms from spam and abuse. It can be easily added into existing forms on your website to provide protection from spam bots. It can run on most any web server as long as you have PHP installed, and GD support within PHP. Securimage does everything from generating the CAPTCHA images to validating the typed code. Audible codes can be streamed to the browser with Flash for the vision impaired." (from the project's homepage) More Details ============ The Securimage download package and GitHub repository include several example scripts to demonstrate the usage of the library. Among these scripts is the file example_form.ajax.php. It returns JavaScript code that includes an unencoded value from the variable $_SERVER['PHP_SELF'] directly embedded into the website. In Securimage versions from 3.2RC1 to 3.5 the following code is vulnerable:

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Who Viewed Your Profile on Instagram? Obviously, Hackers!

Are you curious about who viewed your profile on Instagram? This is probably the most frequently asked question nowadays, and there are several applications available on Google Play Store and Apple App Store, which claims to offer you the opportunity to see who is looking at your Instagram profile. But, should we believe them? <!-- adsense --> Is there really some kind of way out to

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Alaskan Moondogs

What's happened to the sky? Moonlight illuminates a snowy scene in this night land and skyscape made on 2013 January from Lower Miller Creek, Alaska, USA. Overexposed near the mountainous western horizon is the first quarter Moon itself, surrounded by an icy halo and flanked left and right by moondogs. Sometimes called mock moons, a more scientific name for the luminous apparitions is paraselenae (plural). Analogous to a sundog or parhelion, a paraselene is produced by moonlight refracted through thin, hexagonal, plate-shaped ice crystals. As determined by the crystal geometry, paraselenae are seen at an angle of 22 degrees or more from the Moon. Compared to the bright lunar disk, paraselenae are faint and easier to spot when the Moon is low. via NASA http://ift.tt/1ScNZ4F

How to get more items in game Disney Magic Kingdoms

Posted by Anonymous 5sc on March 21, 2016. Check this out for yourself - it seems cat merchant may be different depending on the line to say to you!

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I have a new follower on Twitter

Saasabi
SaaS BI & analytics solutions. OLAP engine on Microsoft Azure. We enable organizations to make better, data-driven decisions.
Sydney, Australia
http://t.co/8AMg9vQEef
Following: 1139 - Followers: 1352

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I have a new follower on Twitter

Phil Kowalski
Excel Lover, Father, Husband, Teacher - not in this order maybe
bayern
https://t.co/bLbfzkqDtp
Following: 2257 - Followers: 2273

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A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild". (arXiv:1603.06015v1 [cs.CV])

Recently, technologies such as face detection, facial landmark localisation and face recognition and verification have matured enough to provide effective and efficient solutions for imagery captured under arbitrary conditions (referred to as "in-the-wild"). This is partially attributed to the fact that comprehensive "in-the-wild" benchmarks have been developed for face detection, landmark localisation and recognition/verification. A very important technology that has not been thoroughly evaluated yet is deformable face tracking "in-the-wild". Until now, the performance has mainly been assessed qualitatively by visually assessing the result of a deformable face tracking technology on short videos. In this paper, we perform the first, to the best of our knowledge, thorough evaluation of state-of-the-art deformable face tracking pipelines using the recently introduced 300VW benchmark. We evaluate many different architectures focusing mainly on the task of on-line deformable face tracking. In particular, we compare the following general strategies: (a) generic face detection plus generic facial landmark localisation, (b) generic model free tracking plus generic facial landmark localisation, as well as (c) hybrid approaches using state-of-the-art face detection, model free tracking and facial landmark localisation technologies. Our evaluation reveals future avenues for further research on the topic.

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The Computational Power of Dynamic Bayesian Networks. (arXiv:1603.06125v1 [cs.AI])

This paper considers the computational power of constant size, dynamic Bayesian networks. Although discrete dynamic Bayesian networks are no more powerful than hidden Markov models, dynamic Bayesian networks with continuous random variables and discrete children of continuous parents are capable of performing Turing-complete computation. With modified versions of existing algorithms for belief propagation, such a simulation can be carried out in real time. This result suggests that dynamic Bayesian networks may be more powerful than previously considered. Relationships to causal models and recurrent neural networks are also discussed.

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Sentence Pair Scoring: Towards Unified Framework for Text Comprehension. (arXiv:1603.06127v1 [cs.CL])

We review the task of Sentence Pair Scoring, popular in the literature in various forms --- slanted as Answer Sentence Selection, Paraphrasing, Semantic Text Scoring, Next Utterance Ranking, Recognizing Textual Entailment or e.g. a component of Memory Networks.

We argue that such tasks are similar from the model perspective (especially in the context of high-capacity deep neural models) and propose new baselines by comparing the performance of popular convolutional, recurrent and attention-based neural models across many Sentence Pair Scoring tasks and datasets. We discuss the problem of evaluating randomized models, propose a statistically grounded methodology, and attempt to improve comparisons by releasing new datasets that are much harder than some of the currently used well explored benchmarks.

To address the current research fragmentation in a future-proof way, we introduce a unified open source software framework with easily pluggable models, allowing easy evaluation on a wide range of semantic natural language tasks. This allows us to outline a path towards a universal machine learned semantic model for machine reading tasks. We support this plan by experiments that demonstrate reusability of models trained on different tasks, even across corpora of very different nature.

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Automated Correction for Syntax Errors in Programming Assignments using Recurrent Neural Networks. (arXiv:1603.06129v1 [cs.PL])

We present a method for automatically generating repair feedback for syntax errors for introductory programming problems. Syntax errors constitute one of the largest classes of errors (34%) in our dataset of student submissions obtained from a MOOC course on edX. The previous techniques for generating automated feed- back on programming assignments have focused on functional correctness and style considerations of student programs. These techniques analyze the program AST of the program and then perform some dynamic and symbolic analyses to compute repair feedback. Unfortunately, it is not possible to generate ASTs for student pro- grams with syntax errors and therefore the previous feedback techniques are not applicable in repairing syntax errors.

We present a technique for providing feedback on syntax errors that uses Recurrent neural networks (RNNs) to model syntactically valid token sequences. Our approach is inspired from the recent work on learning language models from Big Code (large code corpus). For a given programming assignment, we first learn an RNN to model all valid token sequences using the set of syntactically correct student submissions. Then, for a student submission with syntax errors, we query the learnt RNN model with the prefix to- ken sequence to predict token sequences that can fix the error by either replacing or inserting the predicted token sequence at the error location. We evaluate our technique on over 14, 000 student submissions with syntax errors. Our technique can completely re- pair 31.69% (4501/14203) of submissions with syntax errors and in addition partially correct 6.39% (908/14203) of the submissions.

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Evolving Shepherding Behavior with Genetic Programming Algorithms. (arXiv:1603.06141v1 [cs.AI])

We apply genetic programming techniques to the `shepherding' problem, in which a group of one type of animal (sheep dogs) attempts to control the movements of a second group of animals (sheep) obeying flocking behavior. Our genetic programming algorithm evolves an expression tree that governs the movements of each dog. The operands of the tree are hand-selected features of the simulation environment that may allow the dogs to herd the sheep effectively. The algorithm uses tournament-style selection, crossover reproduction, and a point mutation. We find that the evolved solutions generalize well and outperform a (naive) human-designed algorithm.

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Neurally-Guided Procedural Models: Learning to Guide Procedural Models with Deep Neural Networks. (arXiv:1603.06143v1 [cs.GR])

We present a deep learning approach for speeding up constrained procedural modeling. Probabilistic inference algorithms such as Sequential Monte Carlo (SMC) provide powerful tools for constraining procedural models, but they require many samples to produce desirable results. In this paper, we show how to create procedural models which learn how to satisfy constraints. We augment procedural models with neural networks: these networks control how the model makes random choices based on what output it has generated thus far. We call such a model a neurally-guided procedural model. As a pre-computation, we train these models on constraint-satisfying example outputs generated via SMC. They are then used as efficient importance samplers for SMC, generating high-quality results with very few samples. We evaluate our method on L-system-like models with image-based constraints. Given a desired quality threshold, neurally-guided models can generate satisfactory results up to 10x faster than unguided models.

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Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science. (arXiv:1603.06212v1 [cs.NE])

As the field of data science continues to grow, there will be an ever-increasing demand for tools that make machine learning accessible to non-experts. In this paper, we introduce the concept of tree-based pipeline optimization for automating one of the most tedious parts of machine learning---pipeline design. We implement an open source Tree-based Pipeline Optimization Tool (TPOT) in Python and demonstrate its effectiveness on a series of simulated and real-world benchmark data sets. In particular, we show that TPOT can design machine learning pipelines that provide a significant improvement over a basic machine learning analysis while requiring little to no input nor prior knowledge from the user. We also address the tendency for TPOT to design overly complex pipelines by integrating Pareto optimization, which produces compact pipelines without sacrificing classification accuracy. As such, this work represents an important step toward fully automating machine learning pipeline design.

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An Approximation Approach for Solving the Subpath Planning Problem. (arXiv:1603.06217v1 [cs.RO])

The subpath planning problem is a branch of the path planning problem, which has widespread applications in automated manufacturing process as well as vehicle and robot navigation. This problem is to find the shortest path or tour subject for travelling a set of given subpaths. The current approaches for dealing with the subpath planning problem are all based on meta-heuristic approaches. It is well-known that meta-heuristic based approaches have several deficiencies. To address them, we propose a novel approximation algorithm in the O(n^3) time complexity class, which guarantees to solve any subpath planning problem instance with the fixed ratio bound of 2. Also, the formal proofs of the claims, our empirical evaluation shows that our approximation method acts much better than a state-of-the-art method, both in result and execution time.

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Multi-fidelity Gaussian Process Bandit Optimisation. (arXiv:1603.06288v1 [stat.ML])

In many scientific and engineering applications, we are tasked with the optimisation of an expensive to evaluate black box function $f$. Traditional methods for this problem assume just the availability of this single function. However, in many cases, cheap approximations to $f$ may be obtainable. For example, the expensive real world behaviour of a robot can be approximated by a cheap computer simulation. We can use these approximations to eliminate low function value regions and use the expensive evaluations to $f$ in a small promising region and speedily identify the optimum. We formalise this task as a \emph{multi-fidelity} bandit problem where the target function and its approximations are sampled from a Gaussian process. We develop a method based on upper confidence bound techniques and prove that it exhibits precisely the above behaviour, hence achieving better regret than strategies which ignore multi-fidelity information. Our method outperforms such naive strategies on several synthetic and real experiments.

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Harnessing Deep Neural Networks with Logic Rules. (arXiv:1603.06318v1 [cs.LG])

Combining deep neural networks with structured logic rules is desirable to harness flexibility and reduce unpredictability of the neural models. We propose a general framework capable of enhancing various types of neural networks (e.g., CNNs and RNNs) with declarative first-order logic rules. Specifically, we develop an iterative distillation method that transfers the structured information of logic rules into the weights of neural networks. We deploy the framework on a CNN for sentiment analysis, and an RNN for named entity recognition. With a few highly intuitive rules, we obtain substantial improvements and achieve state-of-the-art or comparable results to previous best-performing systems.

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Incorporating Copying Mechanism in Sequence-to-Sequence Learning. (arXiv:1603.06393v1 [cs.CL])

We address an important problem in sequence-to-sequence (Seq2Seq) learning referred to as copying, in which certain segments in the input sequence are selectively replicated in the output sequence. A similar phenomenon is observable in human language communication. For example, humans tend to repeat entity names or even long phrases in conversation. The challenge with regard to copying in Seq2Seq is that new machinery is needed to decide when to perform the operation. In this paper, we incorporate copying into neural network-based Seq2Seq learning and propose a new model called CopyNet with encoder-decoder structure. CopyNet can nicely integrate the regular way of word generation in the decoder with the new copying mechanism which can choose sub-sequences in the input sequence and put them at proper places in the output sequence. Our empirical study on both synthetic data sets and real world data sets demonstrates the efficacy of CopyNet. For example, CopyNet can outperform regular RNN-based model with remarkable margins on text summarization tasks.

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Characterization of neighborhood behaviours in a multi-neighborhood local search algorithm. (arXiv:1603.06459v1 [cs.AI])

We consider a multi-neighborhood local search algorithm with a large number of possible neighborhoods. Each neighborhood is accompanied by a weight value which represents the probability of being chosen at each iteration. These weights are fixed before the algorithm runs, and are considered as parameters of the algorithm. Given a set of instances, off-line tuning of the algorithm's parameters can be done by automated algorithm configuration tools (e.g., SMAC). However, the large number of neighborhoods can make the tuning expensive and difficult even when the number of parameters has been reduced by some intuition. In this work, we propose a systematic method to characterize each neighborhood's behaviours, representing them as a feature vector, and using cluster analysis to form similar groups of neighborhoods. The novelty of our characterization method is the ability of reflecting changes of behaviours according to hardness of different solution quality regions. We show that using neighborhood clusters instead of individual neighborhoods helps to reduce the parameter configuration space without misleading the search of the tuning procedure. Moreover, this method is problem-independent and potentially can be applied in similar contexts.

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A System for Probabilistic Linking of Thesauri and Classification Systems. (arXiv:1603.06485v1 [cs.AI])

This paper presents a system which creates and visualizes probabilistic semantic links between concepts in a thesaurus and classes in a classification system. For creating the links, we build on the Polylingual Labeled Topic Model (PLL-TM). PLL-TM identifies probable thesaurus descriptors for each class in the classification system by using information from the natural language text of documents, their assigned thesaurus descriptors and their designated classes. The links are then presented to users of the system in an interactive visualization, providing them with an automatically generated overview of the relations between the thesaurus and the classification system.

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