A faster way to preserve privacy online
New research enables users to search for information without revealing their queries, based on a method that is 30 times faster than comparable prior techniques.
Ushering in a new era of computing
Dan Huttenlocher is a professor of electrical engineering and computer science and the inaugural dean at MIT Schwarzman College of Computing.
Busy GPUs: Sampling and pipelining method speeds up deep learning on large graphs
New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.
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.
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.
A whole new world of learning via MIT OpenCourseWare videos
“I get the chance to not only watch the future happen, but I can actually be a part of it and create it,” says Ugandan entrepreneur Emmanuel Kasigazi.
Machine learning facilitates “turbulence tracking” in fusion reactors
A new approach sheds light on the behavior of turbulent structures that can affect the energy generated during fusion reactions, with implications for reactor design.
Using sound to model the world
This machine-learning system can simulate how a listener would hear a sound from any point in a room.
Helping blockchain communities fix bugs
MIT alumnus-founded Metrika has developed a suite of analytics tools giving blockchain communities visibility into their networks.
3 Questions: How AI image generators could help robots
Yilun Du, a PhD student and MIT CSAIL affiliate, discusses the potential applications of generative art beyond the explosion of images that put the web into creative hysterics.