Week Ending 10.12.18
RESEARCH WATCH: 10.12.18
The Artificial Intelligence Research watch is a summary of academic papers published over the past week in various categories related to AI. The summary below is written by an AI system developed by Primer.ai, a machine intelligence company based in San Francisco.
Over the past week, 33 new papers were published in "Computer Science - Artificial Intelligence".
The paper discussed most in the news over the past week was "Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR" by Sandra Wachter et al (Nov 2017), which was referenced 2 times, including in the article What Does a Fair Algorithm Actually Look Like? in Wired News. The paper author, Sandra Wachter, was quoted saying "The industry fear is that [companies] will have to disclose their code". The paper got social media traction with 56 shares.
This week was active for "Computer Science - Robotics", with 59 new papers.
The paper discussed most in the news over the past week was "Deep sequential models for sampling-based planning" by Yen-Ling Kuo et al (Oct 2018), which was referenced 20 times, including in the article Model helps robots navigate more like humans do in MIT News. The paper author, Andrei Barbu (Purdue University), was quoted saying "Just like when playing chess, these decisions branch out until [the robots] find a good way to navigate. But unlike chess players, [the robots] explore what the future looks like without learning much about their environment and other agents".
Leading researcher Yoshua Bengio (Université de Montréal) came out with "A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies".
Over the past week, 19 new papers were published in "Computer Science - Learning".
The paper discussed most in the news over the past week was "Dank Learning: Generating Memes Using Deep Neural Networks" by Abel L Peirson et al (Jun 2018), which was referenced 19 times, including in the article Have you heard the one about the AI comedian? in Australian Financial Review. The paper author, Abel L. Peirson V, was quoted saying "This allows for relatively simple collection of datasets". The paper got social media traction with 700 shares.
Over the past week, 21 new papers were published in "Computer Science - Human-Computer Interaction".
The paper discussed most in the news over the past week was "BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains" by Linxing Jiang et al (Sep 2018), which was referenced 99 times, including in the article Scientists connected 3 actual human brains (then made them play Tetris) in CNET News. The paper author, Rajesh Rao, was quoted saying "Current brain-to-brain interfaces are extremely limited in the amount of information transmitted between brains, preventing practical applications". The paper got social media traction with 113 shares. A user, @_DanielSinclair, tweeted "The first brain-to-brain social network has arrived. With 83% accuracy using today's rudimentary sensors, it's clear that a non-invasive neurallink is not only within reach, but plausible within decades".
Over the past week, 12 new papers were published in "Computer Science - Computers and Society".
The paper discussed most in the news over the past week was "Movie Pirates of the Caribbean: Exploring Illegal Streaming Cyberlockers" by Damilola Ibosiola et al (Apr 2018), which was referenced 53 times, including in the article Streaming almost killed piracy, but cyberlockers are changing that in TechGig. The paper got social media traction with 12 shares.
Over the past week, 49 new papers were published in "Statistics - Machine Learning".
The paper discussed most in the news over the past week was "Large Scale GAN Training for High Fidelity Natural Image Synthesis" by Andrew Brock et al (Sep 2018), which was referenced 11 times, including in the article This AI Can Create Stunning Photorealistic Images. Until You Take A Closer Look in IFLScience. The paper author, Andrew Brock et al, was quoted saying "There’s not a practical application unless you’re trying to generate fake news of really realistic puppies".