Researchers developed a way to make large language models more adaptable to challenging tasks like strategic planning or process optimization.

A new framework from the MIT-IBM Watson AI Lab supercharges language models, so they can reason over, interactively develop, and verify valid, complex travel agendas.

The system automatically learns to adapt to unknown disturbances such as gusting winds.

MIT researchers developed a new model of memory that includes critical contributions from astrocytes, a class of brain cells.

This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.

New research using computational vision models suggests the brain’s “ventral stream” might be more versatile than previously thought.

A new method from the MIT-IBM Watson AI Lab helps large language models to steer their own responses toward safer, more ethical, value-aligned outputs.

A new method lets users ask, in plain language, for a new molecule with certain properties, and receive a detailed description of how to synthesize it.

The framework helps clinicians choose phrases that more accurately reflect the likelihood that certain conditions are present in X-rays.

This new framework leverages a model’s reasoning abilities to create a “smart assistant” that finds the optimal solution to multistep problems.