Testing spooky action at a distance
A quantum computing research collaboration connects MIT with the University of Copenhagen.
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Precision home robots learn with real-to-sim-to-real
CSAIL researchers introduce a novel approach allowing robots to be trained in simulations of scanned home environments, paving the way for customized household automation accessible to anyone.
MIT spinout Arnasi begins applying LiquiGlide no-stick technology to help patients
The company that brought you no-stick toothpaste is moving into the medical space, with a lubricant for ostomy pouches and other products that could improve millions of lives.
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.
When learning at MIT means studying thousands of miles away
MISTI’s Global Classrooms helps students address global issues within their local context.
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.
Startup aims to flush away the problem of icky toilet seats
Cleana, founded by a team including Richard Li SM ’24, has developed a self-lifting toilet seat to improve bathroom sanitation.
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.
Math program promotes global community for at-risk Ukrainian high schoolers
“Our hope is that our students grow and mature as scholars and help rebuild the intellectual potential of Ukraine after the devastating war.”
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.
Collaborative effort supports an MIT resilient to the impacts of extreme heat
Increasing severity and duration of heat drives data collection and resiliency planning for the forthcoming Climate Resiliency and Adaptation Roadmap.
How to assess a general-purpose AI model’s reliability before it’s deployed
A new technique enables users to compare several large models and choose the one that works best for their task.
Q&A: What past environmental success can teach us about solving the climate crisis
In a new book, Professor Susan Solomon uses previous environmental successes as a source of hope and guidance for mitigating climate change.
Machine learning and the microscope
PhD student Xinyi Zhang is developing computational tools for analyzing cells in the age of multimodal data.
Reasoning skills of large language models are often overestimated
New CSAIL research highlights how LLMs excel in familiar scenarios but struggle in novel ones, questioning their true reasoning abilities versus reliance on memorization.