Week Ending 12.22.19
RESEARCH WATCH: 12.22.19
Over the past week, 69 new papers were published in "Computer Science - Artificial Intelligence".
The paper discussed most in the news over the past week was by a team at Google: "On the Measure of Intelligence" by François Chollet (Nov 2019), which was referenced 11 times, including in the article Why video games and board games aren’t a good measure of AI intelligence in The Verge. The paper author, François Chollet (Google), was quoted saying "A lot of well-funded, large-scale gradient-descent projects get carried out as a way to generate bombastic press articles that misleadingly suggest that human-level AI is perhaps a few years away".
This week was active for "Computer Science - Computer Vision and Pattern Recognition", with 218 new papers.
The paper discussed most in the news over the past week was "Oktoberfest Food Dataset" by Alexander Ziller et al (Nov 2019), which was referenced 1 time, including in the article Cornell University academics uses machine learning to analyse Oktoberfest data in ZDNet.
Leading researcher Yoshua Bengio (Université de Montréal) published "Joint Learning of Generative Translator and Classifier for Visually Similar Classes".
Over the past week, 16 new papers were published in "Computer Science - Computers and Society".
The paper discussed most in the news over the past week was "Energy Usage Reports: Environmental awareness as part of algorithmic accountability" by Kadan Lottick et al (Nov 2019), which was referenced 6 times, including in the article Yann LeCun: AR glasses will be the killer app of energy-efficient machine learning in Venturebeat.
Over the past week, 20 new papers were published in "Computer Science - Human-Computer Interaction".
The paper discussed most in the news over the past week was "An Interactive Indoor Drone Assistant" by Tino Fuhrman et al (Dec 2019), which was referenced 1 time, including in the article An interactive drone to assist humans in office environments in Tech Xplore.
This week was very active for "Computer Science - Learning", with 299 new papers.
The paper discussed most in the news over the past week was "Deep Learning for Symbolic Mathematics" by Guillaume Lample et al (Dec 2019), which was referenced 9 times, including in the article Facebook's AI mathematician can solve university calculus problems in New Scientist. The paper author, Guillaume Lample (Sorbonne Universités), was quoted saying "The power of the mannequin to get well equal expressions, with out having been educated to take action, may be very intriguing".
Leading researcher Yoshua Bengio (Université de Montréal) came out with "A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs".
Over the past week, six new papers were published in "Computer Science - Multiagent Systems".
Over the past week, 25 new papers were published in "Computer Science - Neural and Evolutionary Computing".
This week was active for "Computer Science - Robotics", with 48 new papers.
The paper discussed most in the news over the past week was "An Interactive Indoor Drone Assistant" by Tino Fuhrman et al (Dec 2019)