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…
Category: A.I.
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…
Teaching robots to map large environments
A robot searching for workers trapped in a partially collapsed mine shaft must rapidly generate a map of the scene…
Helping K-12 schools navigate the complex world of AI
With the rapid advancement of generative artificial intelligence, teachers and school leaders are looking for answers to complicated questions about…
3 Questions: How AI is helping us monitor and support vulnerable ecosystems
A recent study from Oregon State University estimated that more than 3,500 animal species are at risk of extinction because of…
A faster problem-solving tool that guarantees feasibility
Managing a power grid is like trying to solve an enormous puzzle. Grid operators must ensure the proper amount of…
The brain power behind sustainable AI
How can you use science to build a better gingerbread house? That was something Miranda Schwacke spent a lot of…