Driving on the cutting edge of autonomous vehicle tech
Leveraging research done on campus, student-run MIT Driverless partners with industry collaborators to develop and test autonomous technologies in real-world racing scenarios.
Toward a disease-sniffing device that rivals a dog’s nose
Trained dogs can detect cancer and other diseases by smell. A miniaturized detector can analyze trace molecules to mimic the process.
A language learning system that pays attention — more efficiently than ever before
MIT researchers’ new hardware and software system streamlines state-of-the-art sentence analysis.
Examining the world through signals and systems
Assistant Professor Cathy Wu aims to help autonomous vehicles fulfill their promise by better understanding how to integrate them into the transportation system.
Byte-sized learning
2021 IAP offerings from the Department of Electrical Engineering and Computer Science ranged from the playful to the profound.
Machine-learning model helps determine protein structures
New technique reveals many possible conformations that a protein may take.
Robust artificial intelligence tools to predict future cancer
Researchers created a risk-assessment algorithm that shows consistent performance across datasets from US, Europe, and Asia.
“Liquid” machine-learning system adapts to changing conditions
The new type of neural network could aid decision making in autonomous driving and medical diagnosis.
Design progresses for MIT Schwarzman College of Computing building on Vassar Street
New building will create a hub for computing research and education at MIT, including spaces designed to be inviting to members of the campus community and the public.
Learning with — and about — AI technology
At Open Learning Talks, Cynthia Breazeal and Eric Klopfer discuss artificial intelligence education.
3 Questions: Thomas Malone and Daniela Rus on how AI will change work
MIT Task Force on the Work of the Future releases research brief "Artificial Intelligence and the Future of Work."
Fengdi Guo awarded first place in LTTP Data Analysis Student Contest
In an award-winning paper, the PhD student and MIT CSHub research assistant measures how the weight of vehicles deteriorates pavements.
Designing customized “brains” for robots
A new system devises hardware architectures to hasten robots’ response time.
Three MIT faculty elected 2020 ACM Fellows
Association for Computing Machinery honors Anantha Chandrakasan, Alan Edelman, and Samuel Madden for work that underpins contemporary computing.
An intro to the fast-paced world of artificial intelligence
In two years, the MIT Quest for Intelligence has allowed hundreds of students to explore AI in its many applications.