The multifaceted challenge of powering AI
Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.
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Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.
As the use of generative AI continues to grow, Lincoln Laboratory's Vijay Gadepally describes what researchers and consumers can do to help mitigate its environmental impact.
The neuroscientist turned entrepreneur will be hosted by the MIT Schwarzman College of Computing and focus on advancing the intersection of behavioral science and AI across MIT.
MIT engineers developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials.
Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.
The MIT senior will pursue graduate studies in the UK at Cambridge University and Imperial College London.
Research from the MIT Center for Constructive Communication finds this effect occurs even when reward models are trained on factual data.
Nobel laureate Daron Acemoglu has long studied technology-driven growth. Here’s how he’s thinking about AI’s effect on the economy.
Exploring biodiversity, linguistic diversity, and collective AI-generated poetry, her work will be honored with a $100K prize, artist residency, and public lecture at MIT in spring 2025.