Sustainability
Sustainability

Sustainability

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How artificial intelligence can help achieve a clean energy future

AI supports the clean energy transition as it manages power grid operations, helps plan infrastructure investments, guides development of novel materials, and more.

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MIT Energy Initiative conference spotlights research priorities amidst a changing energy landscape

Industry leaders agree collaboration is key to advancing critical technologies.

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MIT Energy Initiative launches Data Center Power Forum

MIT faculty and MITEI member company experts address power demand from data centers.

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3 Questions: How AI is helping us monitor and support vulnerable ecosystems

MIT PhD student and CSAIL researcher Justin Kay describes his work combining AI and computer vision systems to monitor the ecosystems that support our planet.

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The brain power behind sustainable AI

PhD student Miranda Schwacke explores how computing inspired by the human brain can fuel energy-efficient artificial intelligence.

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New software designs eco-friendly clothing that can reassemble into new items

To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.

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Optimizing food subsidies: Applying digital platforms to maximize nutrition

An algorithm can change the face of food assistance policy in the Global South, says MIT assistant professor and J-WAFS researcher Ali Aouad.

Algorithms Artificial Intelligence Climate change Computer science and technology Electric grid Electrical engineering and computer science (EECS) Energy Faculty Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Profile Renewable energy School of Engineering Sustainability Technology and policy

Fighting for the health of the planet with AI

Assistant Professor Priya Donti’s research applies machine learning to optimize renewable energy.

Aeronautical and astronautical engineering Artificial Intelligence Computer modeling Energy Fluid dynamics Fusion Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Nuclear power and reactors Plasma Science and Fusion Center Renewable energy Research School of Engineering Sustainability

New prediction model could improve the reliability of fusion power plants

The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.

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A greener way to 3D print stronger stuff

MIT CSAIL researchers developed SustainaPrint, a system that reinforces only the weakest zones of eco-friendly 3D prints, achieving strong results with less plastic.