More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.

This new tool offers an easier way for people to analyze complex tabular data.

This tiny, biocompatible sensor may overcome one of the biggest hurdles that prevent the devices from being completely implanted.

Known for building connections between the social sciences, data science, and computation, the political science professor will lead IDSS into its next chapter.

This novel circuit architecture cancels out unwanted signals at the earliest opportunity.

LLMs trained primarily on text can generate complex visual concepts through code with self-correction. Researchers used these illustrations to train an image-free computer vision system to recognize real photos.

The SPARROW algorithm automatically identifies the best molecules to test as potential new medicines, given the vast number of factors affecting each choice.

Combining natural language and programming, the method enables LLMs to solve numerical, analytical, and language-based tasks transparently.

The method uses language-based inputs instead of costly visual data to direct a robot through a multistep navigation task.

Smaller than a coin, this optical device could enable rapid prototyping on the go.