Staying ahead of the artificial intelligence curve with help from MIT
Intelenz co-founder Renzo Zagni credits MIT for the know-how he needed to launch his company and grow its AI-enabled offerings.
Intelenz co-founder Renzo Zagni credits MIT for the know-how he needed to launch his company and grow its AI-enabled offerings.
Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics.
Tulle-like DefeXtiles can be 3D printed with no custom software or hardware.
Five years in the making, MIT’s autonomous floating vessels get a size upgrade and learn a new way to communicate aboard the waters.
MorphSensor lets users digitally model an object’s form and electronic function in one integrated space.
Book co-authored by Associate Professor Julie Shah and Laura Major SM ’05 explores a future populated with robot helpers.
System developed at MIT CSAIL aims to help linguists decipher languages that have been lost to history.
Computational method for screening drug compounds can help predict which ones will work best against tuberculosis or other diseases.
Large datasets are difficult to depict as scatterplots — but that may change with a new CSAIL project for creating interactive visualizations.
In some situations, asking “what if everyone did that?” is a common strategy for judging whether an action is right or wrong.
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.
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.
Computational model developed at MIT builds off of 2019 research examining colorblind racial attitudes through a video game.