Matthew Kearney: Bringing AI and philosophy into dialogue
The computer science and philosophy double-major aims to advance the field of AI ethics.
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.
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.