Detecting patients’ pain levels via their brain signals
System could help with diagnosing and treating noncommunicative patients.
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.
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.
MIT researchers use a new machine learning technique to rapidly evaluate new transition metal compounds to identify those that can perform specialized functions.
Two longtime friends explore how computer vision systems go awry.
A course that combines machine learning and health care explores the promise of applying artificial intelligence to medicine.
Dutch delegation visits the Institute for a tour focused on computing, robotics, and health care innovation.
When designing actuators involves too many variables for humans to test by hand, this system can step in.
At MIT, Luis Videgaray, alumnus and former foreign minister of Mexico, will launch project to help shape international AI policies.
L4DC explored an emerging scientific area at the intersection of real-time physical data, machine learning, control theory, and optimization.