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Uncovering new physics in metals manufacturing
MIT researchers discovered a hidden atomic order that persists in metals even after extreme processing....
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 fusio…
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 …
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
MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up...
Responding to the climate impact of generative AI
Explosive growth of AI data centers is expected to increase greenhouse gas emissions. Researchers are now seeking solutions to reduce these environmen...
AI system learns from many types of scientific information …
The new “CRESt” platform could help find solutions to real-world energy problems that have plagued the materials science and engineering community for...
New AI system could accelerate clinical research
By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression....
New tool makes generative AI models more likely to create b…
With SCIGEN, researchers can steer AI models to create materials with exotic properties for applications like quantum computing....
What does the future hold for generative AI?
At the inaugural MIT Generative AI Impact Consortium Symposium, researchers and business leaders discussed potential advancements centered on this pow...
How to build AI scaling laws for efficient LLM training and…
MIT-IBM Watson AI Lab researchers have developed a universal guide for estimating how large language models will perform based on smaller models in th...
Machine-learning tool gives doctors a more detailed 3D pict…
MIT CSAIL researchers developed a tool that can model the shape and movements of fetuses in 3D, potentially assisting doctors in finding abnormalities...
DOE selects MIT to establish a Center for the Exascale Simu…
The research center, sponsored by the DOE’s National Nuclear Security Administration, will advance the simulation of extreme environments, such as tho...
AI and machine learning for engineering design
Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design....
A greener way to 3D print stronger stuff
MIT CSAIL researchers developed SustainaPrint, a system that reinforces only the weakest zones of eco-friendly 3D prints, achieving strong results wit...
3 Questions: The pros and cons of synthetic data in AI
Artificially created data offer benefits from cost savings to privacy preservation, but their limitations require careful planning and evaluation, Kal...
3 Questions: On biology and medicine’s “data revolution”
Professor Caroline Uhler discusses her work at the Schmidt Center, thorny problems in math, and the ongoing quest to understand some of the most compl...
MIT researchers develop AI tool to improve flu vaccine stra…
VaxSeer uses machine learning to predict virus evolution and antigenicity, aiming to make vaccine selection more accurate and less reliant on guesswor...