Week Ending 9.26.2021
RESEARCH WATCH: 9.26.2021
This week was active for "Computer Science", with 1,176 new papers.
The paper discussed most in the news over the past week was by a team at Stanford University: "On the Opportunities and Risks of Foundation Models" by Rishi Bommasani et al (Aug 2021), which was referenced 21 times, including in the article AI tradeoffs: Balancing powerful models and potential biases in TechCrunch. The paper author, Rishi Bommasani, was quoted saying "The commercial incentive can lead companies to ignore social externalities such as the technological displacement of labor, the health of an informational ecosystem required for democracy, the environmental cost of computing resources, and the profit-driven sale of technologies to non-democratic regimes".
Leading researcher Kyunghyun Cho (New York University) published "Chemical-Reaction-Aware Molecule Representation Learning".
This week was very active for "Computer Science - Artificial Intelligence", with 201 new papers.
The paper discussed most in the news over the past week was by a team at Stanford University: "On the Opportunities and Risks of Foundation Models" by Rishi Bommasani et al (Aug 2021)
Leading researcher Dhruv Batra (Georgia Institute of Technology) came out with "Learning Robust Agents for Visual Navigation in Dynamic Environments: The Winning Entry of iGibson Challenge 2021".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 228 new papers.
The paper discussed most in the news over the past week was by a team at Ben-Gurion University of the Negev: "Dodging Attack Using Carefully Crafted Natural Makeup" by Nitzan Guetta et al (Sep 2021), which was referenced 12 times, including in the article Adversarial Makeup: Your Contouring Skills Could Defeat Facial Recognition in Hackaday.
This week was active for "Computer Science - Computers and Society", with 33 new papers.
The paper discussed most in the news over the past week was by a team at Stanford University: "On the Opportunities and Risks of Foundation Models" by Rishi Bommasani et al (Aug 2021)
This week was active for "Computer Science - Human-Computer Interaction", with 34 new papers.
This week was very active for "Computer Science - Learning", with 412 new papers.
The paper discussed most in the news over the past week was by a team at Stanford University: "On the Opportunities and Risks of Foundation Models" by Rishi Bommasani et al (Aug 2021)
Leading researcher Kyunghyun Cho (New York University) came out with "Chemical-Reaction-Aware Molecule Representation Learning".
Over the past week, 14 new papers were published in "Computer Science - Multiagent Systems".
Over the past week, 22 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 Google: "Primer: Searching for Efficient Transformers for Language Modeling" by David R. So et al (Sep 2021), which was referenced 1 time, including in the article Google Introduces New Architecture To Reduce Cost Of Transformers in Analytics India Magazine.
This week was extremely active for "Computer Science - Robotics", with 125 new papers.
The paper discussed most in the news over the past week was "Through the Looking Glass: Diminishing Occlusions in Robot Vision Systems with Mirror Reflections" by Kentaro Yoshioka et al (Aug 2021), which was referenced 2 times, including in the article A robot vision system that diminishes occlusions using mirror reflections in Tech Xplore. The paper author, Kentaro Yoshioka et al, was quoted saying "Our system detects the occlusion in the scene from the direct sensing results on-the-fly, and using the occlusion area coordinates, the optimal tilt angle is calculated".
Leading researcher Dhruv Batra (Georgia Institute of Technology) came out with "Learning Robust Agents for Visual Navigation in Dynamic Environments: The Winning Entry of iGibson Challenge 2021".