Marvin Minsky, a mathematician, computer scientist, and pioneer in the field of artificial intelligence, died at Boston’s Brigham and Women’s Hospital on Sunday, Jan. 24, of a cerebral hemorrhage. He was 88. Artificial intelligence senses people through walls Wireless smart-home system from the Computer Science and Artificial Intelligence Laboratory could monitor diseases and help the elderly “age in place.” How artificial neural networks build their own learning machinery Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning. The hybrid system utilizes deep reinforcement learning, a powerful artificial intelligence method for solving complex problems, to figure out which robots should be prioritized. Then, a fast and reliable planning algorithm feeds instructions to the robots, enabling them to respond rapidly in constantly changing conditions. A new paper from the MIT Media Lab& 039;s Joy Buolamwini shows that three commercial facial-analysis programs demonstrate gender and skin-type biases, and suggests a new, more accurate method for evaluating the performance of such machine-learning systems. MIT Sports Lab researchers discuss applying AI to sports such as figure skating, whether AI systems could ever be used to judge Olympic events, and when we might see a skater land a quint. Prof. Eric Klopfer, co-chair of MIT’s Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training, speaks with Newsweek ’s Amanda Greenwood and Hollie Silverman about homework in an era of AI. “Students need experience to understand and regulate their AI behaviors,” says Klopfer. “They need to learn how it can augment, rather than replace, their learning, and decide how. MIT News covers the latest developments in artificial intelligence research and applications. A single AI model simulates the behavior of many substances, from sliding sand to folding proteins By learning how matter moves, the WorldParticle system could assist with developing soft robots, medicines, and more. Prof. Daron Acemoglu shares his insights on artificial intelligence and the future of work and education during “Ask an Economist,” a virtual event hosted by NPR ’s “The Indicator from Planet Money.” “I think there are a lot of pro-teacher AI opportunities where you give better tools to teachers, but teachers still remain central to the learning experience of students,” says.