MIT scientists developed a training method to generate models that simulate the effects of human activities on climate much more quickly than other approaches.
By learning how matter moves, the WorldParticle system could assist with developing soft robots, medicines, and more.
Read MoreA new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.
Read MoreA new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.
Read MoreNew MIT research could lead to better materials for a fossil-fuel-free process for making the chemical that’s essential to fertilizer and other products.
Read More“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.
Read MoreBy focusing on electrolytes, MIT scientists are making sodium-metal batteries a more practical energy storage option.
Read MoreResearchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.
Read MoreDean Price, assistant professor in the Department of Nuclear Science and Engineering, sees a bright future for nuclear power, and believes AI can help us realize that vision.
Read MoreA new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.
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