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Climate News at MIT

The latest climate change research and action happening in and around MIT.

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Energy EfficiencyCities & PlanningClear All

PostFebruary 11, 2025

Creating smart buildings with privacy-first sensors

Butlr uses insights from low-resolution thermal cameras and an analytics platform to make buildings more efficient and safe.

PostJanuary 24, 2025

How cities are weathering the climate crisis

Lawrence Vale is the co-author of the new book, “The Equitably Resilient City,” published by MIT Press.

PostJanuary 21, 2025

The multifaceted challenge of powering AI

MIT Energy Initiative

There are now over 5,000 data centers in the United States, like this one in northern Virginia, and new ones are being built every day.

PostJanuary 17, 2025

Explained: Generative AI’s environmental impact

MIT News explores the environmental and sustainability implications of generative AI technologies and applications.

PostJanuary 13, 2025

Q&A: The climate impact of generative AI

MIT Lincoln Laboratory

Vijay Gadepally, a senior staff member in the Lincoln Laboratory Supercomputing Center, discusses steps the research community can take to help mitigate the environmental impact of generative AI.

PostJanuary 13, 2025

Study shows how households can cut energy costs

Giving people better data about their energy use, plus some coaching, can help them substantially reduce their consumption and costs, according to a study by MIT researchers in Amsterdam.

PodcastJanuary 7, 2025

Why do so many renewable projects stall?

MIT Energy Initiative

thumbnail of episode title why do so many renewable projects stall

PostDecember 6, 2024

So you want to build a solar or wind farm? Here’s how to decide where.

PostNovember 13, 2024

MIT engineers make converting CO2 into useful products more practical

A conceptual schematic of the new woven electrode design. Researchers wove a series of conductive copper wires (the brown-orange pipe) through a very thin membrane to reach the catalyst.

PostNovember 4, 2024

Nanoscale transistors could enable more efficient electronics

Nanoscale 3D transistors made from ultrathin semiconductor materials can operate more efficiently than silicon-based devices, leveraging quantum mechanical properties to potentially enable ultra-low-power AI applications.

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