Creating smart buildings with privacy-first sensors
Butlr, founded by former Media Lab researchers, uses insights from thermal sensors to make buildings safe and efficient.
Puzzling out climate change
Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.
3 Questions: What the laws of physics tell us about CO2 removal
In a report on the feasibility of removing carbon dioxide from the atmosphere, physicists say these technologies are “not a magic bullet, but also not a no-go.”
MIT spinout Gradiant reduces companies’ water use and waste by billions of gallons each day
The company builds water recycling, treatment, and purification solutions for some of the world’s largest brands.
Smart carbon dioxide removal yields economic and environmental benefits
MIT study finds a diversified portfolio of carbon dioxide removal options delivers the best return on investment.
MIT Climate and Energy Ventures class spins out entrepreneurs — and successful companies
The course challenges students to commercialize technologies and ideas in one whirlwind semester. Alumni of the class have founded more than 150 companies.
How to make small modular reactors more cost-effective
Youyeon Choi is leaning on her work experience in South Korea — a leading nation in nuclear energy — and her love of multi-physics modeling as she pursues her doctoral research.
Toward sustainable decarbonization of aviation in Latin America
Special report describes targets for advancing technologically feasible and economically viable strategies.
The multifaceted challenge of powering AI
Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.
For clean ammonia, MIT engineers propose going underground
Using the Earth itself as a chemical reactor could reduce the need for fossil-fuel-powered chemical plants.
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.
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.
Study shows how households can cut energy costs
An experiment in Amsterdam suggests providing better information to people can help move them out of “energy poverty.”
The role of modeling in the energy transition
At the MITEI Fall Colloquium, the administrator of the US Energy Information Administration explained why long-term energy models are not forecasting tools — and why they’re still vitally important.
How hard is it to prevent recurring blackouts in Puerto Rico?
Using the island as a model, researchers demonstrate the “DyMonDS” framework can improve resiliency to extreme weather and ease the integration of new resources.