Making health care more personal
The company Health at Scale uses machine learning to improve outcomes for individual patients.
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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.
“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.
Researchers devise an on-off system that allows high-fidelity operations and interconnection between processors.
A team from MIT helped create an image retrieval system to find the closest matches of paintings from different artists and cultures.
MIT researchers develop integrated lightwave electronic circuits to detect the phase of ultrafast optical fields.
New work on 2D and 3D meshing aims to address challenges with some of today’s state-of-the-art methods.
Specialized nanoparticles create a “breath signal” that could be used to diagnose pneumonia and other infectious or genetic diseases.
After a third-place finish at last year's Formula Student Germany, MIT Driverless team aims to compete in the $1.5 million Indy Autonomous Challenge.