Cleaner industry
Cleaner industry

Cleaner industry

Algorithms Alumni/ae Artificial Intelligence Civil and environmental engineering Cleaner industry Climate change Computer science and technology Emissions Energy Graduate, postdoctoral IDSS machine learning Profile School of Engineering Students Sustainability Traffic management Transportation Undergraduate Research Opportunities Program (UROP)

Puzzling out climate change

Accenture Fellow Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.

Alumni/ae Artificial Intelligence Cleaner industry Emissions Energy efficiency Industry Innovation and Entrepreneurship (I&E) machine learning MIT Sloan School of Management real-estate Renewable energy School of Architecture and Planning Solar Startups Sustainability Wind

A platform to expedite clean energy projects

Station A, founded by MIT alumni, makes the process of buying clean energy simple for property owners.

Artificial Intelligence Chemical engineering Cleaner industry Climate change Data Electricity Emissions Energy MIT Energy Initiative Nuclear power and reactors Renewable energy School of Engineering Sustainability Sustainable computing Technology and policy Technology and society

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.

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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.

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Ensuring a durable transition

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

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MIT ARCLab announces winners of inaugural Prize for AI Innovation in Space

The challenge asked teams to develop AI algorithms to track and predict satellites’ patterns of life in orbit using passively collected data

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.

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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.

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AI meets climate: MIT Energy and Climate Hack 2023

The Energy and Climate Hack presented opportunities for students and companies to collaborate and develop innovative solutions.

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New tools are available to help reduce the energy that AI models devour

Amid the race to make AI bigger and better, Lincoln Laboratory is developing ways to reduce power, train efficiently, and make energy use transparent.