How artificial intelligence can help achieve a clean energy future
AI supports the clean energy transition as it manages power grid operations, helps plan infrastructure investments, guides development of novel materials, and more.
Artificial Intelligence
The cost of thinking
MIT neuroscientists find a surprising parallel in the ways humans and new AI models solve complex problems.
Read MoreNew AI agent learns to use CAD to create 3D objects from sketches
The virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer-aided design.
Read MoreMIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape
Industry leaders agree collaboration is key to advancing critical technologies.
Read MoreUnderstanding the nuances of human-like intelligence
Associate Professor Phillip Isola studies the ways in which intelligent machines “think,” in an effort to safely integrate AI into human society.
Read MoreMIT Energy Initiative launches Data Center Power Forum
MIT faculty and MITEI member company experts address power demand from data centers.
Read MoreCharting the future of AI, from safer answers to faster thinking
MIT PhD students who interned with the MIT-IBM Watson AI Lab Summer Program are pushing AI tools to be more flexible, efficient, and grounded in truth.
Read MoreMIT researchers propose a new model for legible, modular software
The coding framework uses modular concepts and simple synchronization rules to make software clearer, safer, and easier for LLMs to generate.
Read MoreTeaching robots to map large environments
A new approach developed at MIT could help a search-and-rescue robot navigate an unpredictable environment by rapidly generating an accurate map of its surroundings.
Read MoreHelping K-12 schools navigate the complex world of AI
MIT’s Teaching Systems Lab, led by Associate Professor Justin Reich, is working to help educators by listening to and sharing their stories.
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