Researchers discover a shortcoming that makes LLMs less reliable
Large language models (LLMs) sometimes learn the wrong lessons, according to an MIT study. Rather than answering a query based…
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MIT scientists debut a generative AI model that could create molecules addressing hard-to-treat diseases
More than 300 people across academia and industry spilled into an auditorium to attend a BoltzGen seminar on Thursday, Oct. 30,…
How artificial intelligence can help achieve a clean energy future
There is growing attention on the links between artificial intelligence and increased energy demands. But while the power-hungry data centers…
The cost of thinking
Large language models (LLMs) like ChatGPT can write an essay or plan a menu almost instantly. But until recently, it…
New AI agent learns to use CAD to create 3D objects from sketches
Computer-Aided Design (CAD) is the go-to method for designing most of today’s physical products. Engineers use CAD to turn 2D…
MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape
“We’re here to talk about really substantive changes, and we want you to be a participant in that,” said Desirée…
Understanding the nuances of human-like intelligence
What can we learn about human intelligence by studying how machines “think?” Can we better understand ourselves if we better…
MIT Energy Initiative launches Data Center Power Forum
With global power demand from data centers expected to more than double by 2030, the MIT Energy Initiative (MITEI) in September…
Charting the future of AI, from safer answers to faster thinking
Adoption of new tools and technologies occurs when users largely perceive them as reliable, accessible, and an improvement over the…
MIT researchers propose a new model for legible, modular software
Coding with large language models (LLMs) holds huge promise, but it also exposes some long-standing flaws in software: code that’s…