Climate change
Climate change

Climate change

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.

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.

Aeronautical and astronautical engineering Artificial Intelligence Climate change computer-vision Disaster response EAPS Earth and atmospheric sciences Environment Hurricanes Imaging machine learning Media Lab NASA Research Satellites School of Engineering School of Science Science communications Weather

New AI tool generates realistic satellite images of future flooding

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

Artificial Intelligence Climate change Government Health Care Manufacturing Medicine Policy President Biden School of Science Science communications Special events and guest speakers Sustainability

A vision for U.S. science success

In a talk at MIT, White House science advisor Arati Prabhakar outlined challenges in medicine, climate, and AI, while expressing resolve to tackle hard problems.

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.

Artificial Intelligence Chemical engineering Cleaner industry Climate change Department of Energy (DoE) DMSE Energy Energy storage Faculty Fusion Government MIT Energy Initiative Nuclear power and reactors Policy Renewable energy School of Architecture and Planning School of Engineering Special events and guest speakers Startups Students Sustainability Urban studies and planning

Ensuring a durable transition

Progress on the energy transition depends on collective action benefiting all stakeholders, agreed participants in MITEI’s annual research conference.

Algorithms Analytics apps Artificial Intelligence Climate change Collaboration Computer science and technology Data Digital technology Education, teaching, academics Environment Global Human-computer interaction Internet K-12 education machine learning Media Lab MIT Schwarzman College of Computing NASA Office of Open Learning Open access Programming social media Space, astronomy and planetary science Special events and guest speakers STEM education Technology and society

“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.

Artificial Intelligence Climate Climate change Computer modeling Data EAPS machine learning Natural disasters Policy Research School of Science Weather modeling

Making climate models relevant for local decision-makers

A new downscaling method leverages machine learning to speed up climate model simulations at finer resolutions, making them usable on local levels.

Artificial Intelligence Business and management Cleaner industry Climate change Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) cybersecurity Design Electrical Engineering & Computer Science (eecs) Environmental Solutions Initiative Innovation and Entrepreneurship (I&E) machine learning Manufacturing MIT Morningside Academy for Design MIT Sloan School of Management Renewable energy Research School of Architecture and Planning School of Engineering Startups Supply chains

HPI-MIT design research collaboration creates powerful teams

Together, the Hasso Plattner Institute and MIT are working toward novel solutions to the world’s problems as part of the Designing for Sustainability research program.

Algorithms Artificial Intelligence Climate change Data Disaster response Lincoln Laboratory machine learning Natural disasters Radar Research Technology and society Weather Weather modeling

An AI dataset carves new paths to tornado detection

TorNet, a public artificial intelligence dataset, could help models reveal when and why tornadoes form, improving forecasters’ ability to issue warnings.