2024年– date –
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Creating and verifying stable AI-controlled systems in a rigorous and flexible way
Neural networks have made a seismic impact on how engineers design controllers for robots, catalyzing more adaptive and efficient machines. Still, these brain-like machine-learning systems are a double-edged sword: Their complexity makes... -
AI method radically speeds predictions of materials’ thermal properties
It is estimated that about 70 percent of the energy generated worldwide ends up as waste heat. If scientists could better predict how heat moves through semiconductors and insulators, they could design more efficient power generation sys... -
How to assess a general-purpose AI model’s reliability before it’s deployed
Foundation models are massive deep-learning models that have been pretrained on an enormous amount of general-purpose, unlabeled data. They can be applied to a variety of tasks, like generating images or answering customer questions. But... -
Marking a milestone: Dedication ceremony celebrates the new MIT Schwarzman College of Computing building
The MIT Stephen A. Schwarzman College of Computing recently marked a significant milestone as it celebrated the completion and inauguration of its new building on Vassar Street with a dedication ceremony. Attended by members of the MIT c... -
Machine learning and the microscope
With recent advances in imaging, genomics and other technologies, the life sciences are awash in data. If a biologist is studying cells taken from the brain tissue of Alzheimer’s patients, for example, there could be any number of charac... -
Reasoning skills of large language models are often overestimated
When it comes to artificial intelligence, appearances can be deceiving. The mystery surrounding the inner workings of large language models (LLMs) stems from their vast size, complex training methods, hard-to-predict behaviors, and elusi... -
When to trust an AI model
Because machine-learning models can give false predictions, researchers often equip them with the ability to tell a user how confident they are about a certain decision. This is especially important in high-stake settings, such as when m... -
“They can see themselves shaping the world they live in”
During the journey from the suburbs to the city, the tree canopy often dwindles down as skyscrapers rise up. A group of New England Innovation Academy students wondered why that is. “Our friend Victoria noticed that where we live in Marl... -
MIT researchers introduce generative AI for databases
A new tool makes it easier for database users to perform complicated statistical analyses of tabular data without the need to know what is going on behind the scenes. GenSQL, a generative AI system for databases, could help users make pr... -
Creating the crossroads
A few years ago, Gevorg Grigoryan PhD ’07, then a professor at Dartmouth College, had been pondering an idea for data-driven protein design for therapeutic applications. Unsure how to move forward with launching that concept into a compa...
