Machine learning uncovers potential new TB drugs
Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases.
Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases.
MIT Innovation Initiative Venture Builder Luis Soenksen accelerates the launch of unique AI and health care startups in record time.
Funds will support research on glaucoma through retinal biometrics and neural cell implantation therapy for spinal cord injury.
Many health issues are tied to excess fluid in the lungs. A new algorithm can detect the severity by looking at a single X-ray.
The award supports promising PhD candidates or postdocs conducting interdisciplinary research on the societal and ethical dimensions of computing.
MIT-led team uses AI and machine learning to explore fundamental forces.
Working remotely this summer, students worked to better understand human intelligence and to advance machine learning applications.
MIT professor announced as award’s first recipient for work in cancer diagnosis and drug synthesis.
New faculty in these areas will connect the MIT Schwarzman College of Computing and a department or school.
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.
The startup Kinsa uses its smart thermometers to detect and track the spread of contagious illness before patients go to the hospital.
An artificial intelligence tool lets users edit generative adversarial network models with simple copy-and-paste commands.
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.