Eye On AI

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Week Ending 08.25.19

RESEARCH WATCH: 08.25.19

Over the past week, 1,001 new papers were published in "Computer Science".

Over the past week, 70 new papers were published in "Computer Science - Artificial Intelligence".

  • The paper discussed most in the news over the past week was "Playing magic tricks to deep neural networks untangles human deception" by Regina Zaghi-Lara et al (Aug 2019), which was referenced 2 times, including in the article Researchers attempt to fool AI with magic tricks in Venturebeat. The paper got social media traction with 58 shares. The investigators deconstructed stage magic into purely motor maneuvers and trained an artificial neural network (DeepLabCut) to follow coins as a professional magician made them appear and disappear in a series of tricks. On Twitter, @TrackingActions commented "A clever idea from to see when an model is tricked vs human(s) tricked. 🎩🤹🏻‍♂️🔮#deeplabcut #deeplabMAGIC Check out the cool video", while @ThomasFraps commented "AI can be fooled, e.g. but only knowledge of the world gives rise to the illusion of impossibility: „It is a world of difference between a spectator’s not knowing how something is done and knowing that it can‘t be done.“ - Simon Aronson #magicturingtestAGI".

  • Leading researcher Kyunghyun Cho (New York University) came out with "Dynamics-aware Embeddings". This paper was also shared the most on social media with 84 tweets. @BayesForDays (Cassandra Jacobs, Subtweeter in Chief) tweeted "Y'all this compositionality in neural networks paper is so good".

This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 271 new papers.

This week was active for "Computer Science - Computers and Society", with 38 new papers.

  • The paper discussed most in the news over the past week was by a team at University of Copenhagen: "Tracking Behavioral Patterns among Students in an Online Educational System" by Stephan Lorenzen et al (Aug 2019), which was referenced 2 times, including in the article Researchers use AI to track students' performance in online courses in Venturebeat. The paper was shared 2 times in social media. The investigators investigate previously unseen data from Clio Online, the largest provider of digital learning content for primary schools in Denmark.

  • The paper shared the most on social media this week is by a team at Universidade Federal de Minas Gerais: "Auditing Radicalization Pathways on YouTube" by Manoel Horta Ribeiro et al (Aug 2019) with 3640 shares. The investigators conduct a large scale audit of user radicalization on YouTube. @DrengrV (Drengr) tweeted "Megan, imagine for a moment how scary it will be once the platforms that we use are created/controlled/hosted/owned by Us. What are you going to do then? You'll have no sway. No control over the pipeline. No data on the radicalization. It'll be completely out of your control.🐺❤".

This week was active for "Computer Science - Human-Computer Interaction", with 35 new papers.

This week was very active for "Computer Science - Learning", with 344 new papers.

Over the past week, ten new papers were published in "Computer Science - Multiagent Systems".

Over the past week, 16 new papers were published in "Computer Science - Neural and Evolutionary Computing".

Over the past week, 35 new papers were published in "Computer Science - Robotics".


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