Inspired by large language models, researchers develop a training technique that pools diverse data to teach robots new skills.

Mesenchymal stromal cells are an attractive alternative to current costly, time-intensive treatments.

Experts in energy systems modeling and fusion technology explore the future role of fusion at various costs and carbon constraints.

In parallel, MIT and Universidad Del Valle de Guatemala students seek to advance local innovation by and for Guatemalan communities.

As climate change accelerates sea-level rise and intensifies storms, marsh-fronted seawalls can provide an economical coastal defense, MIT engineers report.

Using the concept of “outdoor days,” a study shows how global warming will affect people’s ability to work or enjoy recreation outdoors.

By allowing users to clearly see data referenced by a large language model, this tool speeds manual validation to help users spot AI errors.

Novel method to scale phenotypic drug screening drastically reduces the number of input samples, costs, and labor required to execute a screen.

A new method can train a neural network to sort corrupted data while anticipating next steps. It can make flexible plans for robots, generate high-quality video, and help AI agents navigate digital environments.

By fabricating semiconductor-free logic gates, which can be used to perform computation, researchers hope to streamline the manufacture of electronics.