Emissions
Emissions

Emissions

Algorithms Artificial Intelligence Cleaner industry Climate Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data DMSE Electrical engineering and computer science (EECS) Emissions Energy Environment Human-computer interaction machine learning MIT Schwarzman College of Computing School of Engineering Sustainability Sustainable computing Water

Explained: Generative AI’s environmental impact

Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.

Artificial Intelligence Climate change Computer science and technology Electricity Emissions Energy Energy efficiency Interview Lincoln Laboratory machine learning Staff Supercomputing Sustainability Sustainable computing Technology and society

Q&A: The climate impact of generative AI

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.

3-D printing Algorithms Alumni/ae Artificial Intelligence Chemical engineering Cleaner industry Climate change Design Emissions Innovation and Entrepreneurship (I&E) Interview machine learning MIT Morningside Academy for Design Pollution Product design School of Architecture and Planning School of Engineering Startups Sustainability The Engine

Q&A: A blueprint for sustainable innovation

Atacama Biomaterials, co-founded by Paloma Gonzalez-Rojas SM ’15, PhD ’21, combines architecture, machine learning, and chemical engineering to create eco-friendly materials.

Algorithms Artificial Intelligence Cambridge, Boston and region Campus buildings and architecture Climate Climate change Emissions Energy efficiency Environment Facilities Heat Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research Sustainability

AI pilot programs look to reduce energy use and emissions on MIT campus

A cross-departmental team is leading efforts to utilize machine learning for increased efficiency in heating and cooling MIT’s buildings.

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Jackson Jewett wants to design buildings that use less concrete

The PhD student is honing algorithms for designing large structures with less material — helping to shrink the construction industry’s huge carbon footprint.