Using the island as a model, researchers demonstrate the “DyMonDS” framework can improve resiliency to extreme weather and ease the integration of new resources.

A new technique identifies and removes the training examples that contribute most to a machine-learning model’s failures.

Using LLMs to convert machine-learning explanations into readable narratives could help users make better decisions about when to trust a model.

MIT engineers show how detailed mapping of weather conditions and energy demand can guide optimization for siting renewable energy installations.

The technique could make AI systems better at complex tasks that involve variability.

Borges imagined an endless library that contained every possible permutation of letters. The truth is out there, but it’s embedded among hoards of lies and gibberish.

By sidestepping the need for costly interventions, a new method could potentially reveal gene regulatory programs, paving the way for targeted treatments.

Researchers show that even the best-performing large language models don’t form a true model of the world and its rules, and can thus fail unexpectedly on similar tasks.

A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.

Healthy smartphone use depends as much on the way you use it as how much you use it. The key is paying attention to your phone behavior.