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.

Space tourism is in an exploration phase – the decisions companies make around how to conduct these experiences now will set the tone moving forward.

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

A new wave of space travellers has sparked debate over how the term is used.

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.