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.
Topic
Computer Science and Artificial Intelligence Laboratory (CSAIL)
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Less scatterbrained scatterplots
Large datasets are difficult to depict as scatterplots — but that may change with a new CSAIL project for creating interactive visualizations.
How we make moral decisions
In some situations, asking “what if everyone did that?” is a common strategy for judging whether an action is right or wrong.
Anticipating heart failure with machine learning
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.
Provably exact artificial intelligence for nuclear and particle physics
MIT-led team uses AI and machine learning to explore fundamental forces.
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.
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.