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.

The new approach “nudges” existing climate simulations closer to future reality.

The sustainable and cost-saving structure could dissipate more than 95 percent of incoming wave energy using a small fraction of the material normally needed.

The ambient light sensors responsible for smart devices’ brightness adjustments can capture images of touch interactions like swiping and tapping for hackers.

MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.

The MIT Orbital Capacity Assessment Tool lets users model the long-term future space environment.