Cleaner industry
Cleaner industry

Cleaner industry

Artificial Intelligence Cleaner industry Climate change Electric grid Energy Fusion Government Infrastructure MIT Energy Initiative National Institutes of Health (NIH) Nuclear power and reactors politics Renewable energy Special events and guest speakers Sustainability Sustainable computing

Taking the “training wheels” off clean energy

At the 2025 MIT Energy Conference, energy leaders from around the world discussed how to make green technologies competitive with fossil fuels.

Artificial Intelligence Cleaner industry Collaboration Computer chips Electrical engineering and computer science (EECS) Electronics Energy efficiency Industry Microsystems Technology Laboratories MIT.nano Photonics Research Research Laboratory of Electronics School of Engineering Semiconductors Silicon Sustainable computing

Collaborating to advance research and innovation on essential chips for AI

Agreement between MIT Microsystems Technology Laboratories and GlobalFoundries aims to deliver power efficiencies for data centers and ultra-low power consumption for intelligent devices at the edge.

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.

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 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.

Aeronautical and astronautical engineering Artificial Intelligence Cleaner industry Contests and academic competitions Data Lincoln Laboratory Satellites School of Engineering Space exploration Spaceflight Sustainability

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.

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.