AI with AI
Episode 3.20: NOAA’s Arcade
In news items, Andy and Dave discuss an effort by Boston Children’s Hospital to use machine learning to help track the spread of COVID-19. Meanwhile, a proposal from researchers wants to use mobile phones to track the virus’s spread. Fifty-two organization have come together to develop the “first-ever industry-led” standard for AI in healthcare. The National Oceanic and Atmospheric Administration (NOAA) announces its AI strategy. And IBM and Promare begin sea trials for Mayflower, an autonomous ship that, later this year, will make the reverse of the 1620 Mayflower transit, completely unmanned. In research, Google and Columbia University enable a robot to teach itself how to walk with minimal human intervention (bounding the terrain, and making the robot’s trial movements more cautious). Researchers at Harvard, MIT CSAIL, IBM-Watson-AI Lab, and DeepMind introduce CLEVRER (Collision Events for Video Representation and Reasoning), a diagnostic video dataset for the evaluation of models on a wide range of reasoning tasks. And DeepMind proposal a new reinforcement learning technique that models human behavior, using a gifting game in which agents learn to trust each other. The Berkman Klein Center at Harvard updates its data map of Ethical and Rights-based approaches to Principles for AI. The Center for the Study of the Dragon releases its likely last paper, Unarmed and Dangerous, which looks at how non-weaponized drones can still have lethal effects. Cansu Canca has provided a database and interface that looks at global dynamics of AI principles. Mario Alemi provides the book of the week, with the Amazing Journey of Reason: from DNA to AI. And the livestream talks from the 34th AAAI Conference are now available online.