Printable aluminum alloy sets strength records, may enable lighter aircraft parts
Incorporating machine learning, MIT engineers developed a way to 3D print alloys that are much stronger than conventionally manufactured versions.
Incorporating machine learning, MIT engineers developed a way to 3D print alloys that are much stronger than conventionally manufactured versions.
MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.
Read MoreBakshi will help shape and scale entrepreneurship education and platform at MIT.
Read MoreOptimized for generative AI, TX-GAIN is driving innovation in biodefense, materials discovery, cybersecurity, and other areas of research and development.
Read MoreExplosive growth of AI data centers is expected to increase greenhouse gas emissions. Researchers are now seeking solutions to reduce these environmental harms.
Read MoreIn this article I review the motivation and reasonable fear of Microsofts CEO Satya Nadella to be out innovated into irrelevance by the fourth platform – Artificial Intelligence – and the billions of dollars Microsoft is investing to stay at the helm of this movement. The article includes business lessons that other leaders can learn from to stay ahead in this AI platform revolution.
Read MoreThe new “CRESt” platform could help find solutions to real-world energy problems that have plagued the materials science and engineering community for decades.
Read MoreBy enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.
Read MoreEconomics doctoral student Whitney Zhang investigates how technologies and organizational decisions shape labor markets.
Read MoreDepartment of Mathematics researchers David Roe and Andrew Sutherland seek to advance automated theorem proving; four additional MIT alumni also awarded.
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