Macro, a modeling tool developed by the MIT Energy Initiative, enables energy-system planners to explore options for developing infrastructure to support decarbonized, reliable, and low-cost power grids.
MIT CSAIL and LIDS researchers developed a mathematically grounded system that lets soft robots deform, adapt, and interact with people and objects, without violating safety limits.
Read MoreNew research shows that the more senior a leader is, the more they overestimate employee sentiment about how companies are using AI.
Read MoreLarge language models can learn to mistakenly link certain sentence patterns with specific topics — and may then repeat these patterns instead of reasoning.
Read MoreBoltzGen generates protein binders for any biological target from scratch, expanding AI’s reach from understanding biology toward engineering it.
Read MoreAI supports the clean energy transition as it manages power grid operations, helps plan infrastructure investments, guides development of novel materials, and more.
Read MoreA new study uncovers the different ways they approach costs, benefits, and goals.
Read MoreMIT neuroscientists find a surprising parallel in the ways humans and new AI models solve complex problems.
Read MoreThe virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer-aided design.
Read MoreEntrepreneurs who acknowledge setbacks attract capital faster, at lower cost, and with better repayment outcomes.
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