In The News

MIT Schwarzman College of Computing and MBZUAI launch international collaboration to shape the future of AI
MIT Schwarzman College of Computing and MBZUAI launch international collaboration to shape the future of AI

The MIT–MBZUAI Collaborative Research Program will unite faculty and students from both institutions to advance AI and accelerate its use in pressing scientific and societal challenges.

Riccardo Comin, two MIT alumni named 2025 Moore Experimental Physics Investigators
Riccardo Comin, two MIT alumni named 2025 Moore Experimental Physics Investigators

MIT physicist seeks to use award to study magnetoelectric multiferroics that could lead to energy-efficient storage devices.

How to reduce greenhouse gas emissions from ammonia production
How to reduce greenhouse gas emissions from ammonia production

Proposed system would combine two kinds of plants, creating greater efficiency and lowering costs while curbing climate-changing emissions.

Using generative AI to diversify virtual training grounds for robots
Using generative AI to diversify virtual training grounds for robots

New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.

Uncovering new physics in metals manufacturing
Uncovering new physics in metals manufacturing

MIT researchers discovered a hidden atomic order that persists in metals even after extreme processing.

Laurent Demanet appointed co-director of MIT Center for Computational Science and Engineering
Laurent Demanet appointed co-director of MIT Center for Computational Science and Engineering

Applied mathematics professor will join fellow co-director Nicolas Hadjiconstantinou in leading the cross-cutting center.

Fighting for the health of the planet with AI
Fighting for the health of the planet with AI

Assistant Professor Priya Donti’s research applies machine learning to optimize renewable energy.

New prediction model could improve the reliability of fusion power plants
New prediction model could improve the reliability of fusion power plants

The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.

Printable aluminum alloy sets strength records, may enable lighter aircraft parts
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.

AI maps how a new antibiotic targets gut bacteria
AI maps how a new antibiotic targets gut bacteria

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.

popupimg

title

content Link link