Professor Daniela Rus named to White House science council
CSAIL director and MIT Schwarzman College of Computing deputy dean of research will serve on the President’s Council of Advisors on Science and Technology.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
MIT team races to fill Covid-19-related ventilator shortage
An ad hoc team of engineers and doctors has developed a low-cost, open-source alternative, now ready for rapid production.
Deploying more conversational chatbots
Startup Posh has created chatbots that use “conversational memory” to have more natural exchanges.
Reducing delays in wireless networks
Congestion control system could help streaming video, mobile games, and other applications run more smoothly.
Bluetooth signals from your smartphone could automate Covid-19 contact tracing while preserving privacy
A system that enables smartphones to transmit “chirps” to nearby devices could notify people if they have been near an infected person.
Sprayable user interfaces
CSAIL's SprayableTech system lets users create large-scale interactive surfaces with sensors and displays using airbrushed inks.
Computational thinking class enables students to engage in Covid-19 response
Nearly 300 students join an open course that applies data science, artificial intelligence, and mathematical modeling using the Julia language to study Covid-19.
Researching from home: Science stays social, even at a distance
Picower Institute researchers are advancing their work in many ways despite time away from the lab required to corral Covid-19.
Accelerating data-driven discoveries
Life science companies use Paradigm4’s unique database management system to uncover new insights into human health.
System trains driverless cars in simulation before they hit the road
Using a photorealistic simulation engine, vehicles learn to drive in the real world and recover from near-crash scenarios.
3Q: Collaborating with users to develop accessible designs
An MIT team discusses the pitfalls of “parachute research” and the importance of “sociotechnical” factors.
“Doing machine learning the right way”
Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.
Showing robots how to do your chores
By observing humans, robots learn to perform complex tasks, such as setting a table.
A new model of vision
Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.
Integrating electronics onto physical prototypes
In place of flat “breadboards,” 3D-printed CurveBoards enable easier testing of circuit design on electronics products.