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.

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

New research could allow a person to correct a robot’s actions in real-time, using the kind of feedback they’d give another human.

A first history of the document security technology, co-authored by MIT Libraries’ Jana Dambrogio, provides new tools for interdisciplinary research.

Engineers developed a planning tool that can help independent entities decide when they should invest in joint projects.

MIT engineers propose a new “local electricity market” to tap into the power potential of homeowners’ grid-edge devices.

A new study shows LLMs represent different data types based on their underlying meaning and reason about data in their dominant language.