Quantum sensing on a chip
Researchers integrate diamond-based sensing components onto a chip to enable low-cost, high-performance quantum hardware.
Researchers integrate diamond-based sensing components onto a chip to enable low-cost, high-performance quantum hardware.
Study offers models for preserving the privacy of citizens while using their data to improve government services.
How the humanities, arts, and social science fields can help shape the MIT Schwarzman College of Computing — and benefit from advanced computing.
MIT planetary scientists partner with computer scientists to find exoplanets.
Commercial cloud service providers give artificial intelligence computing at MIT a boost.
New detection tool could be used to make quantum computers robust against unwanted environmental disturbances.
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.
Computer Science and Artificial Intelligence Laboratory team creates new reprogrammable ink that lets objects change colors using light.
New capabilities allow “roboats” to change configurations to form pop-up bridges, stages, and other structures.
New approach harnesses the same fabrication processes used for silicon chips, offers key advance toward next-generation computers.
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.