A neural network learns when it should not be trusted
A faster way to estimate uncertainty in AI-assisted decision-making could lead to safer outcomes.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Advancing artificial intelligence research
MIT Schwarzman College of Computing and the Singapore Defense Science and Technology Agency award funding to 13 AI-focused projects.
STEM Week event encourages students to see themselves in science and technology careers
MIT hosts kickoff event of Massachusetts STEM Week — a statewide virtual celebration of K-12 education.
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.
Algorithm reduces use of riskier antibiotics for UTIs
Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics.
Leveraging a 3D printer “defect” to create a new quasi-textile
Tulle-like DefeXtiles can be 3D printed with no custom software or hardware.
Autonomous boats could be your next ride
Five years in the making, MIT’s autonomous floating vessels get a size upgrade and learn a new way to communicate aboard the waters.
Electronic design tool morphs interactive objects
MorphSensor lets users digitally model an object’s form and electronic function in one integrated space.
“What to Expect When You’re Expecting Robots”
Book co-authored by Associate Professor Julie Shah and Laura Major SM ’05 explores a future populated with robot helpers.
Translating lost languages using machine learning
System developed at MIT CSAIL aims to help linguists decipher languages that have been lost to history.
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.
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.