More efficient than other approaches, the “Thermometer” technique could help someone know when they should trust a large language model.

A mathematical method, validated with experimental data, provides a fast, reliable, and minimally invasive way of determining how to treat critical blood pressure changes during surgery or intensive care.

Ultrathin material whose properties “already meet or exceed industry standards” enables superfast switching, extreme durability.

A major new research hub led by the University of Cambridge and UCL aims to harness quantum technology to improve early diagnosis and treatment of disease.

MIT engineers have developed a fast and sustainable method for producing hydrogen fuel using aluminum, saltwater, and coffee grounds.

Genomics and lab studies reveal numerous findings, including a key role for Reelin amid neuronal vulnerability, and for choline and antioxidants in sustaining cognition.

Introducing structured randomization into decisions based on machine-learning model predictions can address inherent uncertainties while maintaining efficiency.

MAIA is a multimodal agent that can iteratively design experiments to better understand various components of AI systems.

Analysis and materials identified by MIT engineers could lead to more energy-efficient fuel cells, electrolyzers, batteries, or computing devices.

A new study shows someone’s beliefs about an LLM play a significant role in the model’s performance and are important for how it is deployed.