MIT professor to Congress: “We are at an inflection point” with AI
Aleksander Mądry urges lawmakers to ask rigorous questions about how AI tools are being used by corporations.
Aleksander Mądry urges lawmakers to ask rigorous questions about how AI tools are being used by corporations.
The computer science and philosophy double-major aims to advance the field of AI ethics.
Aided by machine learning, scientists are working to develop a vaccine that would be effective against all SARS-CoV-2 strains.
MIT researchers uncover the structural properties and dynamics of deep classifiers, offering novel explanations for optimization, generalization, and approximation in deep networks.
MIT researchers trained logic-aware language models to reduce harmful stereotypes like gender and racial biases.
The long-running programming competition encourages skills and friendships that last a lifetime.
A process that seeks feedback from human specialists proves more effective at optimization than automated systems working alone.
The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.
The method enables a model to determine its confidence in a prediction, while using no additional data and far fewer computing resources than other methods.
MIT spinout Verta offers tools to help companies introduce, monitor, and manage machine-learning models safely and at scale.
The chatbot’s success on the medical licensing exam shows that the test — and medical education — are flawed, Celi says.
A new study shows how large language models like GPT-3 can learn a new task from just a few examples, without the need for any new training data.
A new tool brings the benefits of AI programming to a much broader class of problems.
More than $1 million in funding available to selected Solver teams and fellows.
Computer scientists want to know the exact limits in our ability to clean up, and reconstruct, partly blurred images.