Making health care more personal
The company Health at Scale uses machine learning to improve outcomes for individual patients.
The company Health at Scale uses machine learning to improve outcomes for individual patients.
New faculty in these areas will connect the MIT Schwarzman College of Computing and a department or school.
Co-design Center for Quantum Advantage and Quantum Systems Accelerator are funded by the U.S. Department of Energy to accelerate the development of quantum computers.
Researchers train a model to reach human-level performance at recognizing abstract concepts in video.
IAIFI will advance physics knowledge — from the smallest building blocks of nature to the largest structures in the universe — and galvanize AI research innovation.
Everactive provides an industrial “internet of things” platform built on its battery-free sensors.
An artificial intelligence tool lets users edit generative adversarial network models with simple copy-and-paste commands.
“Qubit by Qubit” introduces high school students to quantum computing through a week-long summer camp and a year-long course.
Storage tool developed at MIT CSAIL adapts to what its datasets’ users want to search.
Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.
Fund has launched a special summer round to spearhead projects addressing mental health, well-being, and racial justice at MIT.
Machine learning system from MIT CSAIL can look at chest X-rays to diagnose pneumonia — and also knows when to defer to a radiologist.
MIT researchers propose a design to overcome a major challenge in hydrocephalus catheters — clogging — by leveraging catheter geometry.
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the past two quarters.
Researchers devise an on-off system that allows high-fidelity operations and interconnection between processors.