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.
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.
The model could help clinicians assess breast cancer stage and ultimately help in reducing overtreatment.
Two studies pinpoint their likely industrial sources and mitigation opportunities.
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.
Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
The planet’s wild orbit offers clues to how such large, hot planets take shape.
The approach could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.
A new technique enables users to compare several large models and choose the one that works best for their task.
Bernardo Picão, a graduate student in physics, has turned to MIT Open Learning’s resources throughout his educational journey.
Propofol, a drug commonly used for general anesthesia, derails the brain’s normal balance between stability and excitability.
New CSAIL research highlights how LLMs excel in familiar scenarios but struggle in novel ones, questioning their true reasoning abilities versus reliance on memorization.
More accurate uncertainty estimates could help users decide about how and when to use machine-learning models in the real world.
Ammonia could be a nearly carbon-free maritime fuel, but without new emissions regulations, its impact on air quality could significantly impact human health.
While women and men self-reported similar vaccination rates, unvaccinated women had less intention to get vaccinated than men.
A chip the size of a pack of cards uses fewer resources and a smaller footprint than existing automated manufacturing platforms and could lead to more affordable cell therapy manufacturing.