Lincoln Laboratory's new artificial intelligence supercomputer is the most powerful at a university
TX-GAIA is tailor-made for crunching through deep neural network operations.
Computing and artificial intelligence: Humanistic perspectives from MIT
How the humanities, arts, and social science fields can help shape the MIT Schwarzman College of Computing — and benefit from advanced computing.
Computing and the search for new planets
MIT planetary scientists partner with computer scientists to find exoplanets.
Notation system allows scientists to communicate polymers more easily
BigSMILES language allows computers and researchers to convey stochastic configurations more clearly.
What a little more computing power can do
Commercial cloud service providers give artificial intelligence computing at MIT a boost.
Using machine learning to estimate risk of cardiovascular death
CSAIL system uses a patient's ECG signal to estimate potential for cardiovascular death.
Detecting patients’ pain levels via their brain signals
System could help with diagnosing and treating noncommunicative patients.
Computing in Earth science: a non-linear path
UROP student Sonia Reilly studies the math of machine learning to improve predictions of natural disasters.
MIT report examines how to make technology work for society
Task force calls for bold public and private action to harness technology for shared prosperity.
IBM gives artificial intelligence computing at MIT a lift
Nearly $12 million machine will let MIT researchers run more ambitious AI models.
Artificial intelligence could help data centers run far more efficiently
MIT system “learns” how to optimally allocate workloads across thousands of servers to cut costs, save energy.
Boosting computing power for the future of particle physics
Prototype machine-learning technology co-developed by MIT scientists speeds processing by up to 175 times over traditional methods.
Guided by AI, robotic platform automates molecule manufacture
New system could free bench chemists from time-consuming tasks, may help inspire new molecules.
Automating artificial intelligence for medical decision-making
Model replaces the laborious process of annotating massive patient datasets by hand.
Model predicts cognitive decline due to Alzheimer’s, up to two years out
Researchers hope the system can zero in on the right patients to enroll in clinical trials, to speed discovery of drug treatments.