Breaking the scaling limits of analog computing
New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
MIT Policy Hackathon produces new solutions for technology policy challenges
Hackathon explores policy solutions to challenges in cybersecurity, environmental justice, and city planning focused on post-pandemic efforts to build a better society.
The task of magnetic classification suddenly looks easier
MIT undergraduate researchers Helena Merker, Harry Heiberger, and Linh Nguyen, and PhD student Tongtong Liu, exploit machine-learning techniques to determine the magnetic structure of materials.
New device can control light at unprecedented speeds
Researchers have developed a programmable optical device for high-speed beam steering.
Teresa Gao named 2024 Mitchell Scholar
The MIT senior will pursue postgraduate studies in computer science in Ireland.
A simpler path to better computer vision
New research reveals a scalable technique that uses synthetic data to improve the accuracy of AI models that recognize images.
A far-sighted approach to machine learning
New system can teach a group of cooperative or competitive AI agents to find an optimal long-term solution.
Celebrating open data
New prize program recognizes MIT researchers who make data openly accessible and reusable.
Study: Zebrafish are smarter than we thought
Researchers have discovered that the brains of these simple fish can create three-dimensional maps of their surroundings.
MIT wins world finals of the 45th International Collegiate Programming Contest
Students reflect on their top performance in Dhaka, Bangladesh, which ended a 44-year drought for MIT.
Empowering social media users to assess content helps fight misinformation
An experimental platform that puts moderation in the hands of its users shows that people do evaluate posts effectively and share their assessments with others.
Solving brain dynamics gives rise to flexible machine-learning models
MIT CSAIL researchers solve a differential equation behind the interaction of two neurons through synapses to unlock a new type of speedy and efficient AI algorithm.
Q&A: MIT competitive programmers on going the distance
Students describe what it’s like to compete at the very top tiers of computing.
Ensuring AI works with the right dose of curiosity
Researchers make headway in solving a longstanding problem of balancing curious “exploration” versus “exploitation” of known pathways in reinforcement learning.
3 Questions: Supporting student veterans at MIT
Liam Gale, new program administrator for the Student Veteran Success Office, describes experiences of student veterans and how the Institute supports them.