Eye On AI

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Week Ending 06.30.19

RESEARCH WATCH: 06.30.19

Over the past week, 947 new papers were published in "Computer Science".

This week was active for "Computer Science - Artificial Intelligence", with 98 new papers.

Over the past week, 168 new papers were published in "Computer Science - Computer Vision and Pattern Recognition".

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 by a team at Massachusetts Institute of Technology: "Tackling Climate Change with Machine Learning" by David Rolnick et al (Jun 2019), which was referenced 19 times, including in the article AI can help fight climate change — here’s eight ways how in The Verge. The paper author, David Rolnick (Massachusetts Institute of Technology), was quoted saying "Climate change does not present one problem, it presents multiple problems. AI is only one of the tools that can have an impact in the fight to mitigate the effects of climate change". The paper also got the most social media traction with 1372 shares. The authors describe how machine learning can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. On Twitter, @ikdeepl said "Yikes “In 2006, at least two Scottish seafood firms flew hundreds of metric tons of shrimp from Scotland to China and Thailand for peeling, then back to Scotland for sale – because they could save on labor costs”".

  • The paper shared the most on social media this week is "Artificial Intelligence: the global landscape of ethics guidelines" by Anna Jobin et al (Jun 2019) with 141 shares. @socbe (Chris Buehler) tweeted "Very important groundwork done here by and on #AIEthics. Keep going! #mustread #digitaleEthik".

This week was active for "Computer Science - Human-Computer Interaction", with 34 new papers.

This week was very active for "Computer Science - Learning", with 314 new papers.

Over the past week, 12 new papers were published in "Computer Science - Multiagent Systems".

Over the past week, 19 new papers were published in "Computer Science - Neural and Evolutionary Computing".

  • The paper discussed most in the news over the past week was by a team at University of Oxford: "Stacked Capsule Autoencoders" by Adam R. Kosiorek et al (Jun 2019), which was referenced 2 times, including in the article AI capsule system achieves state-of-the-art image classification results in TaableNote News. The paper got social media traction with 281 shares. A user, @jgvfwstone, tweeted "Stacked Capsule Autoencoders Adam R. Kosiorek, Sara Sabour, Yee Whye Teh, Geoffrey E. Hinton, June 2019. This is reminiscent of sound ideas on "instantiation parameters" in Hinton's earliest papers, but with 21st century computational power".

This week was active for "Computer Science - Robotics", with 53 new papers.


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