Artificial intelligence | MIT News | Massachusetts Institute of Technology Jay Fox of the Ohio News Network joins Ohio 10 WBNS to discuss his conversation with President Sally Kornbluth about how life-changing scientific innovations in university research labs have helped build our nation’s technological prowess and ensured our strength and stability, explaining how federal research cuts threaten future medical and technological advances “What’s at risk are
Understanding the nuances of human-like intelligence - MIT News MIT Associate Professor Phillip Isola studies the ways in which intelligent machines “think” and perceive the world, in an effort to ensure AI is safely and effectively integrated into human society
New hardware offers faster computation for artificial intelligence . . . A new area of artificial intelligence called analog deep learning promises faster computation with a fraction of the energy usage Programmable resistors are the key building blocks in analog deep learning, just like transistors are the core elements for digital processors
AI accelerates problem-solving in complex scenarios - MIT News Researchers from MIT and ETZ Zurich have developed a new, data-driven machine-learning technique that speeds up software programs used to solve complex optimization problems that can have millions of potential solutions Their approach could be applied to many complex logistical challenges, such as package routing, vaccine distribution, and power grid management
Explained: Generative AI | MIT News | Massachusetts Institute of Technology A quick scan of the headlines makes it seem like generative artificial intelligence is everywhere these days In fact, some of those headlines may actually have been written by generative AI, like OpenAI’s ChatGPT, a chatbot that has demonstrated an uncanny ability to produce text that seems to have been written by a human But what do people really mean when they say “generative AI
New technique makes AI models leaner and faster while they’re still . . . Researchers at MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), Max Planck Institute for Intelligent Systems, European Laboratory for Learning and Intelligent Systems, ETH, and Liquid AI have now developed a new method that sidesteps this trade-off entirely, compressing models during training, rather than after