“Doing machine learning the right way”
Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.
Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.
MIT duo uses music, videos, and real-world examples to teach students the foundations of artificial intelligence.
Through the Undergraduate Research Opportunities Program, students work to build AI tools with impact.
Three-day hackathon explores methods for making artificial intelligence faster and more sustainable.
With the initial organizational structure in place, the MIT Schwarzman College of Computing moves forward with implementation.
Doctoral candidate Natalie Lao wants to show that anyone can learn to use AI to make a better world.
MIT researchers and collaborators have developed an open-source curriculum to teach young students about ethics and artificial intelligence.
As natural language processing techniques improve, suggestions are getting speedier and more relevant.
Objects are posed in varied positions and shot at odd angles to spur new AI techniques.
To help the region catch up, students organize summit to bring Latin policymakers and researchers to MIT.
New tool highlights what generative models leave out when reconstructing a scene.
An artificial intelligence model developed at MIT shows in striking detail what makes some images stick in our minds.
MIT and IBM researchers offer a new method to train and run deep learning models more efficiently.
Commercial cloud service providers give artificial intelligence computing at MIT a boost.
Nearly $12 million machine will let MIT researchers run more ambitious AI models.