Eye On AI

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Week Ending 04.21.19

RESEARCH WATCH: 04.21.19

Over the past week, 270 new papers were published in "Computer Science".

Over the past week, 82 new papers were published in "Computer Science - Artificial Intelligence".

This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 268 new papers.

Over the past week, 23 new papers were published in "Computer Science - Computers and Society".

  • The paper discussed most in the news over the past week was "Discrimination through optimization: How Facebooks ad delivery can lead to skewed outcomes" by Muhammad Ali et al (Apr 2019), which was referenced 51 times, including in the article Discrimination's Digital Frontier in Atlantic.com - The Wire. The paper author, Alan Mislove(Computer science professor at Northeastern University), was quoted saying "All advertising is based on auctions all over the web, and I don’t know how you fix that without just saying we don’t have those kinds of ads". The paper also got the most social media traction with 1299 shares. The investigators demonstrate that such skewed delivery occurs on Facebook, due to market and financial optimization effects as well as the platforms own predictions about the relevance of ads to different groups of users. A Twitter user, @TimKarr, observed "April 4, 2019: Academic paper published analyzing FB's algorithms to find they're built using historically discriminatory data. The algorithms deliver results biased against people based on race & gender, & perpetuate discrimination in advertising".

  • The paper shared the most on social media this week is by a team at Stanford University: "From Theory to Systems: A Grounded Approach to Programming Language Education" by Will Crichton (Apr 2019) with 51 shares. @hn_frontpage (HN Front Page) tweeted "From Theory to Systems: A Grounded Approach to Programming Language Education L: C".

Over the past week, 21 new papers were published in "Computer Science - Human-Computer Interaction".

Over the past week, 177 new papers were published in "Computer Science - Learning".

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

Over the past week, 30 new papers were published in "Computer Science - Neural and Evolutionary Computing".

This week was active for "Computer Science - Robotics", with 59 new papers.

  • The paper discussed most in the news over the past week was "Real-Time Dense Stereo Embedded in A UAV for Road Inspection" by Rui Fan et al (Apr 2019), which was referenced 2 times, including in the article Team developing AI-enabled drones for pothole, crack detection in GlobalSpec. The paper got social media traction with 6 shares. The authors present a robust stereo vision system embedded in an unmanned aerial vehicle (UAV).

  • Leading researcher Sergey Levine (University of California, Berkeley) came out with "End-to-End Robotic Reinforcement Learning without Reward Engineering" The authors propose an approach for removing the need for manual engineering of reward specifications by enabling a robot to learn from a modest number of examples of successful outcomes, followed by actively solicited queries, where the robot shows the user a state and asks for a label to determine whether that state represents successful completion of the task. @snowy_robolamp tweeted "Impressive speed of learning! 🤖". This paper was also shared the most on social media with 100 tweets. @snowy_robolamp (ЮляN8FAD85042👩‍💻🐧❄️) tweeted "Impressive speed of learning! 🤖".




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