A new approach could enable intuitive robotic helpers for household, workplace, and warehouse settings.

Chemists could use this quick computational method to design more efficient reactions that yield useful compounds, from fuels to pharmaceuticals.

Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.

A new technique automatically guides an LLM toward outputs that adhere to the rules of whatever programming language or other format is being used.

By eliminating redundant computations, a new data-driven method can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews.

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.

The approach maintains an AI model’s accuracy while ensuring attackers can’t extract secret information.

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.

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

Researchers fuse the best of two popular methods to create an image generator that uses less energy and can run locally on a laptop or smartphone.