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.
AI supports the clean energy transition as it manages power grid operations, helps plan infrastructure investments, guides development of novel materials, and more.
The virtual VideoCAD tool could boost designers’ productivity and help train engineers learning computer-aided design.
Read MoreIndustry leaders agree collaboration is key to advancing critical technologies.
Read MoreProfessors Facundo Batista and Dina Katabi, along with three additional MIT alumni, are honored for their outstanding professional achievement and commitment to service.
Read MoreActing as a “virtual spectrometer,” SpectroGen generates spectroscopic data in any modality, such as X-ray or infrared, to quickly assess a material’s quality.
Read MoreIncorporating machine learning, MIT engineers developed a way to 3D print alloys that are much stronger than conventionally manufactured versions.
Read MoreThe research center, sponsored by the DOE’s National Nuclear Security Administration, will advance the simulation of extreme environments, such as those in hypersonic flight and atmospheric reentry.
Read MorePopular mechanical engineering course applies machine learning and AI theory to real-world engineering design.
Read MoreMIT engineers used a machine-learning model to design nanoparticles that can deliver RNA to cells more efficiently.
Read MoreThe Initiative for New Manufacturing is convening experts across the Institute to drive a transformation of production across the U.S. and the world.
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