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- Explained: Generative AI’s environmental impact - MIT News
MIT News explores the environmental and sustainability implications of generative AI technologies and applications
- Concrete “battery” developed at MIT now packs 10 times the power
New concrete and carbon black supercapacitors with optimized electrolytes have 10 times the energy storage of previous designs and can be incorporated into a wide range of architectural forms
- Responding to the climate impact of generative AI - MIT News
MIT experts discuss strategies and innovations aimed at mitigating the amount of greenhouse gas emissions generated by the training, deployment, and use of AI systems, in the second in a two-part series on the environmental impacts of generative artificial intelligence
- Sustainability | MIT News | Massachusetts Institute of Technology
Turning extreme heat into large-scale energy storage Fourth Power, founded by Professor Asegun Henry, is developing thermal batteries for efficiently storing excess electricity from utility grids and power producers
- Giving buildings an “MRI” to make them more energy-efficient and . . .
Founded by a team from MIT, Lamarr AI utilizes drones, thermal imaging, and AI to identify energy waste and structural issues in buildings and recommend retrofits
- MIT engineers develop a magnetic transistor for more energy . . . - MIT News
MIT researchers developed a more powerful magnetic transistor that could be used to design simpler circuits and create faster and more energy-efficient electronics
- Introducing the MIT-GE Vernova Climate and Energy Alliance
The MIT-GE Vernova Climate and Energy Alliance, a five-year collaboration between MIT and GE Vernova, aims to accelerate the energy transition and scale new innovations
- How artificial intelligence can help achieve a clean energy future
A look at how AI can be used to help support the clean energy transition by helping to manage power grid operations, plan infrastructure investments, guide the development of novel materials, and more
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