Shrinking deep learning’s carbon footprint
Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.
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.
A team from MIT helped create an image retrieval system to find the closest matches of paintings from different artists and cultures.
Recent advances give theoretical insight into why deep learning networks are successful.
Eight faculty members have been granted tenure in five departments across the School of Engineering.
MIT researchers develop integrated lightwave electronic circuits to detect the phase of ultrafast optical fields.
Honorees will receive additional support to pursue their research and develop their careers.
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.
C3.ai Digital Transformation Institute awards $5.4 million to top researchers to steer how society responds to the pandemic.
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.