MIT researchers use AI to uncover atomic defects in materials
A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.
A new model measures defects that can be leveraged to improve materials’ mechanical strength, heat transfer, and energy-conversion efficiency.
MIT Sea Grant works with the Woodwell Climate Research Center and other collaborators to demonstrate a deep learning-based system for fish monitoring.
New insights into metallic cracks that harm battery performance could advance the longstanding quest to develop energy-dense solid-state batteries.
With this new technique, a robot could more accurately detect hidden objects or understand an indoor scene using reflected Wi-Fi signals.
The newly created role will shape the infrastructure needed to nurture the school’s growing research goals.
Discovering this common mechanism could lead to a universal anesthesia-delivery system to monitor patients more effectively.
MIT researchers uncovered the roles of bacterial species from the environment as they consume biodegradable plastic.
Professor Jesse Thaler describes a vision for a two-way bridge between artificial intelligence and the mathematical and physical sciences — one that promises to advance both.
The latest crop of space-time wobbles includes a variety of heavy, fast-spinning, and lopsided colliding black holes.
The engineered tissue grafts could take on the liver’s function and help thousands of people with liver failure.
By leveraging idle computing time, researchers can double the speed of model training while preserving accuracy.
Researchers find mice modeling the autism spectrum disorder fragile X syndrome exhibit the same pattern of differences in low-frequency waves as humans — a new marker for treatment studies.
By minimizing the need to drive around looking for a parking spot, this technique can save drivers up to 35 minutes — and give them a realistic estimate of total travel time.
Through research with MIT D-Lab, MIT engineering student Kiyoko “Kik” Hayano worked with Keo Fish Farms to build a model for regenerative water systems.
Removing just a tiny fraction of the crowdsourced data that informs online ranking platforms can significantly change the results.