MIT undergraduates pursue research opportunities through the pandemic
Working remotely this summer, students worked to better understand human intelligence and to advance machine learning applications.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Regina Barzilay wins $1M Association for the Advancement of Artificial Intelligence Squirrel AI award
MIT professor announced as award’s first recipient for work in cancer diagnosis and drug synthesis.
Examining racial attitudes in virtual spaces through gaming
Computational model developed at MIT builds off of 2019 research examining colorblind racial attitudes through a video game.
Helping robots avoid collisions
Realtime Robotics has created a controller that helps robots safely move around on the fly.
Monitoring sleep positions for a healthy rest
Wireless device captures sleep data without using cameras or body sensors; could aid patients with Parkinson’s disease, epilepsy, or bedsores.
Helping companies prioritize their cybersecurity investments
By securely aggregating sensitive data from cyber-attacks, the SCRAM platform from MIT CSAIL can quantify an organization’s level of security and suggest what to prioritize.
MIT hosts seven distinguished MLK Professors and Scholars for 2020-21
Honorees will engage in the life of the Institute through teaching, research, and other interactions with the MIT community.
Making health care more personal
The company Health at Scale uses machine learning to improve outcomes for individual patients.
Toward a machine learning model that can reason about everyday actions
Researchers train a model to reach human-level performance at recognizing abstract concepts in video.
National Science Foundation announces MIT-led Institute for Artificial Intelligence and Fundamental Interactions
IAIFI will advance physics knowledge — from the smallest building blocks of nature to the largest structures in the universe — and galvanize AI research innovation.
Rewriting the rules of machine-generated art
An artificial intelligence tool lets users edit generative adversarial network models with simple copy-and-paste commands.
Data systems that learn to be better
Storage tool developed at MIT CSAIL adapts to what its datasets’ users want to search.
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.
3 Questions: John Leonard on the future of autonomous vehicles
MIT Task Force on the Work of the Future examines job changes in the AV transition and how training can help workers move into careers that support mobility systems.
An automated health care system that understands when to step in
Machine learning system from MIT CSAIL can look at chest X-rays to diagnose pneumonia — and also knows when to defer to a radiologist.