Building on a landmark algorithm, researchers propose a way to make a smaller and more noise-tolerant quantum factoring circuit for cryptography.

In controlled experiments, MIT CSAIL researchers discover simulations of reality developing deep within LLMs, indicating an understanding of language beyond simple mimicry.

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

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

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

Research sheds light on the properties of novel materials that could be used in electronics operating in extremely hot environments.

Three neurosymbolic methods help language models find better abstractions within natural language, then use those representations to execute complex tasks.

The advance offers a way to characterize a fundamental resource needed for quantum computing.

Researchers create a curious machine-learning model that finds a wider variety of prompts for training a chatbot to avoid hateful or harmful output.

MIT researchers plan to search for proteins that could be used to measure electrical activity in the brain.