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.

Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.

Researchers share the design and implementation of an incentive-based Space Sustainability Rating.

New phase will support continued exploration of ideas and solutions in fields ranging from AI to nanotech to climate — with emphasis on educational exchanges and entrepreneurship.

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

Increasing greenhouse gas emissions will reduce the atmosphere’s ability to burn up old space junk, MIT scientists report.

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.

New research could improve the safety of drone shows, warehouse robots, and self-driving cars.

The method could help communities visualize and prepare for approaching storms.