machine learning
machine learning

Large language models are biased. Can logic help save them?

MIT researchers trained logic-aware language models to reduce harmful stereotypes like gender and racial biases.

Robot armies duke it out in Battlecode’s epic on-screen battles

The long-running programming competition encourages skills and friendships that last a lifetime.

MIT-Takeda Program heads into fourth year with crop of 10 new projects

The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.

Efficient technique improves machine-learning models’ reliability

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.

Helping companies deploy AI models more responsibly

MIT spinout Verta offers tools to help companies introduce, monitor, and manage machine-learning models safely and at scale.

Solving a machine-learning mystery

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.

Automating the math for decision-making under uncertainty

A new tool brings the benefits of AI programming to a much broader class of problems.

A regressive machine-learning approach to the non-linear complex FAST model for hybrid floating offshore wind … – Nature.com

A regressive machine-learning approach to the non-linear complex FAST model for hybrid floating offshore wind …  Nature.com