When computer vision works more like a brain, it sees more like people do
Training artificial neural networks with data from real brains can make computer vision more robust.
Automating the math for decision-making under uncertainty
A new tool brings the benefits of AI programming to a much broader class of problems.
This is your brain. This is your brain on code
MIT researchers are discovering which parts of the brain are engaged when a person evaluates a computer program.
Teresa Gao named 2024 Mitchell Scholar
The MIT senior will pursue postgraduate studies in computer science in Ireland.
Artificial neural networks model face processing in autism
A new computational model could explain differences in recognizing facial emotions.
Lawrence Udeigwe uses elegant math to understand complex systems of the brain
Martin Luther King Jr. Scholar bridges disciplines to translate vision into elegant math and neuroscience theory.
Electrochemistry, from batteries to brains
Professor Bilge Yildiz finds patterns in the behavior of ions across applications.
A unique collaboration with US Special Operations Command
Nearly 300 government and military members participated in a new course designed to explore the next generation of artificial intelligence and related technologies.
Training robots to manipulate soft and deformable objects
A virtual environment embedded with knowledge of the physical world speeds up problem-solving.
Michale Fee appointed head of the Department of Brain and Cognitive Sciences
Will continue initiatives in academics, mentoring, and DEIJ while building on legacy of academic and scientific excellence.
Undergraduates explore practical applications of artificial intelligence
SuperUROP scholars apply deep learning to improve accuracy of climate models, profitably match computers in the cloud with customers, and more.
Q&A: Vivienne Sze on crossing the hardware-software divide for efficient artificial intelligence
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
Toward deep-learning models that can reason about code more like humans
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
Retrofitting MIT’s deep learning “boot camp” for the virtual world
With technology new and old, instructors try to recreate the interactivity of their pre-Covid classroom.
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.