Researchers return to Arctic to test integrated sensor nodes
The nodes are intended to become part of a widespread sea-ice monitoring network.
Method prevents an AI model from being overconfident about wrong answers
More efficient than other approaches, the “Thermometer” technique could help someone know when they should trust a large language model.
New method enables fast, accurate estimates of cardiovascular state to inform blood pressure management
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.
New transistor’s superlative properties could have broad electronics applications
Ultrathin material whose properties “already meet or exceed industry standards” enables superfast switching, extreme durability.
A recipe for zero-emissions fuel: Soda cans, seawater, and caffeine
MIT engineers have developed a fast and sustainable method for producing hydrogen fuel using aluminum, saltwater, and coffee grounds.
Study across multiple brain regions discerns Alzheimer’s vulnerability and resilience factors
Genomics and lab studies reveal numerous findings, including a key role for Reelin amid neuronal vulnerability, and for choline and antioxidants in sustaining cognition.
Study: When allocating scarce resources with AI, randomization can improve fairness
Introducing structured randomization into decisions based on machine-learning model predictions can address inherent uncertainties while maintaining efficiency.
MIT researchers advance automated interpretability in AI models
MAIA is a multimodal agent that can iteratively design experiments to better understand various components of AI systems.
Proton-conducting materials could enable new green energy technologies
Analysis and materials identified by MIT engineers could lead to more energy-efficient fuel cells, electrolyzers, batteries, or computing devices.
Large language models don’t behave like people, even though we may expect them to
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.
AI model identifies certain breast tumor stages likely to progress to invasive cancer
The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.
China-based emissions of three potent climate-warming greenhouse gases spiked in past decade
Two studies pinpoint their likely industrial sources and mitigation opportunities.
Machine learning unlocks secrets to advanced alloys
An MIT team uses computer models to measure atomic patterns in metals, essential for designing custom materials for use in aerospace, biomedicine, electronics, and more.
Creating and verifying stable AI-controlled systems in a rigorous and flexible way
Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
Astronomers spot a highly “eccentric” planet on its way to becoming a hot Jupiter
The planet’s wild orbit offers clues to how such large, hot planets take shape.