Environment
Environment

Environment

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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 Cities Climate change Computer Science and Artificial Intelligence Laboratory (CSAIL) Electrical engineering and computer science (EECS) Environment Environmental Solutions Initiative Equity and inclusion Global IDSS International initiatives Latin America MIT Schwarzman College of Computing MLK visiting scholars Policy School of Architecture and Planning School of Engineering Special events and guest speakers Students Sustainability Technology and policy Urban studies and planning

MIT delegation mainstreams biodiversity conservation at the UN Biodiversity Convention, COP16

First organized MIT delegation highlights the Institute’s growing commitment to addressing climate change by showcasing research on biodiversity conservation, AI, and the role of local communities.

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New AI tool generates realistic satellite images of future flooding

The method could help communities visualize and prepare for approaching storms.

Algorithms Artificial Intelligence Climate change Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Environment MIT Schwarzman College of Computing Plants Research School of Engineering Sustainability Urban studies and planning

Advancing urban tree monitoring with AI-powered digital twins

The Tree-D Fusion system integrates generative AI and genus-conditioned algorithms to create precise simulation-ready models of 600,000 existing urban trees across North America.

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“They can see themselves shaping the world they live in”

Developed by MIT RAISE, the Day of AI curriculum empowers K-12 students to collaborate on local and global challenges using AI.

Aeronautical and astronautical engineering Artificial Intelligence Biological engineering Broad Institute Chemical engineering Civil and environmental engineering Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Cryptography Data DMSE Economics Electrical Engineering & Computer Science (eecs) Electronics Environment Faculty Human-computer interaction human-robot interaction IDSS Immunology Laboratory for Information and Decision Systems (LIDS) machine learning Media Lab Medicine MIT Schwarzman College of Computing Music Music and theater arts Research Laboratory of Electronics Robotics School of Engineering School of Humanities Arts and Social Sciences School of Science

School of Engineering welcomes new faculty

Fifteen new faculty members join six of the school’s academic departments.

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Advancing technology for aquaculture

MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.

Algorithms Artificial Intelligence Climate Climate change Computer modeling Defense Advanced Research Projects Agency (DARPA) Disaster response Earth and atmospheric sciences Environment Fluid dynamics Hurricanes machine learning Mechanical engineering Natural disasters Planetary science Research School of Engineering Weather

MIT-derived algorithm helps forecast the frequency of extreme weather

The new approach “nudges” existing climate simulations closer to future reality.

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.