MIT Quantum Initiative launches postdoctoral fellowship program
The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.
The Institute welcomes its first cohort of QMIT Fellows this fall to advance interdisciplinary quantum research.
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
Read MoreThe “CrysVCD” tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.
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 MoreAn expert in machine learning, statistics, and computation, Rakhlin succeeds Professor Ankur Moitra.
Read MoreInitial research projects advance national priorities across natural resources, manufacturing, nuclear physics, and more.
Read MoreThe professor of physics and inaugural director of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions will lead LNS and continue his research in particle physics.
Read MoreFounded by Jake Donoghue PhD ’19 and former MIT researcher Jarrett Revels, the company is creating an AI-driven platform to help diagnose and treat disease.
Read MoreMIT senior Olivia Honeycutt investigates how the ways we communicate can shape our views of the world.
Read MoreThe associate professors of EECS and chemistry, respectively, are honored for exceptional contributions to teaching, research, and service at MIT.
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