Using machine learning to estimate risk of cardiovascular death
CSAIL system uses a patient’s ECG signal to estimate potential for cardiovascular death.
CSAIL system uses a patient’s ECG signal to estimate potential for cardiovascular death.
System could help with diagnosing and treating noncommunicative patients.
UROP student Sonia Reilly studies the math of machine learning to improve predictions of natural disasters.
Task force calls for bold public and private action to harness technology for shared prosperity.
Nearly $12 million machine will let MIT researchers run more ambitious AI models.
MIT system “learns” how to optimally allocate workloads across thousands of servers to cut costs, save energy.
Prototype machine-learning technology co-developed by MIT scientists speeds processing by up to 175 times over traditional methods.
New system could free bench chemists from time-consuming tasks, may help inspire new molecules.
Model replaces the laborious process of annotating massive patient datasets by hand.
Researchers hope the system can zero in on the right patients to enroll in clinical trials, to speed discovery of drug treatments.