With up to $53 million from ARPA-H, the researchers will use AI to generate safer herbicides that reduce dependence on imports and improve the security of the U.S. food supply.
By learning how matter moves, the WorldParticle system could assist with developing soft robots, medicines, and more.
Read MoreA machine-learning approach called CheMeleon provides a practical way to develop new drugs or other molecules with much less detailed, expensive experimentation.
Read MoreA new system identifies and corrects unreliable object descriptions stored in a robot’s memory, improving the robot’s ability to interact with its environment.
Read MoreFrom a nuclear revival to qubits, the MIT Energy Initiative’s annual research conference tracked deployment of today’s technologies to discovery of tomorrow’s breakthroughs.
Read MoreThe MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
Read MoreFive MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
Read MoreProfessor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
Read MoreProfessor Paris Smaragdis develops computers with superhuman hearing for applications like speech recognition, music understanding, and environmental monitoring.
Read MoreA cross-section of the MIT community convened discussions on topics ranging from data centers and super pollutants to agriculture and education.
Read More
You must be logged in to post a comment.