Enabling privacy-preserving AI training on everyday devices
A new method could bring more accurate and efficient AI models to high-stakes applications like health care and finance, even in under-resourced settings.
A new method could bring more accurate and efficient AI models to high-stakes applications like health care and finance, even in under-resourced settings.
A new study reveals cellular pathways that appear to underlie some differences in physical fitness.
The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.
New dataset of 30,000-plus competition math problems from 47 countries gives AI researchers a harder test — and students worldwide a better training ground.
Ultra-efficient chip design enables extremely strong cryptography algorithms to run on energy-constrained edge devices.
A new training method improves the reliability of AI confidence estimates without sacrificing performance, addressing a root cause of hallucination in reasoning models.
Researchers are developing hardware and algorithms to improve collaboration between divers and autonomous underwater vehicles engaged in maritime missions.
The influential first leader of the Computation Structures Group at MIT played a key role in the development of asynchronous computing.
Researchers use control theory to shed unnecessary complexity from AI models during training, cutting compute costs without sacrificing performance.
Startup accelerator program grows to over 30 companies, almost half of them with MIT pedigrees.
Graduate engineering program is No. 1 in the nation; MIT Sloan is No. 6.
Researchers developed a system that intelligently balances workloads to improve the efficiency of flash storage hardware in a data center.
By quickly generating aesthetically accurate previews of fabricated objects, the VisiPrint system could make prototyping faster and less wasteful.
Mariano Salcedo ’25, a master’s student in the new Music Technology and Computation Graduate Program, is designing an AI to visualize and express music and other sounds.
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.