Sustainability
Sustainability

Sustainability

Artificial Intelligence Cleaner industry Climate change Electric grid Emissions Energy Energy efficiency MIT Energy Initiative Research Sustainability Technology and policy

MIT Energy Initiative launches Data Center Power Forum

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

Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) Algorithms Animals Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Data Ecology Electrical engineering and computer science (EECS) Environment Graduate, postdoctoral Interview machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Pollution Research School of Engineering Students Sustainability

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.

Artificial Intelligence Community Computer science and technology DMSE Energy Energy efficiency Graduate, postdoctoral Nuclear science and engineering Profile Research School of Engineering Science communications Students Sustainability

The brain power behind sustainable AI

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

Artificial Intelligence Cleaner industry Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical engineering and computer science (EECS) Human-computer interaction Invention machine learning Media Lab MIT Morningside Academy for Design MIT Schwarzman College of Computing Research School of Engineering Sustainability

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.

Abdul Latif Jameel Water and Food Systems Lab (J-WAFS) Algorithms Alumni/ae Artificial Intelligence Data Faculty Food India MIT Sloan School of Management Policy Poverty Profile Research Sustainability

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.

3-D printing Artificial Intelligence Cleaner industry Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical engineering and computer science (EECS) Invention machine learning MIT Schwarzman College of Computing Recycling Research School of Engineering Sustainability

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.

Algorithms Artificial Intelligence Climate change Computer modeling Data EAPS Earth and atmospheric sciences Emissions IDSS machine learning MIT Schwarzman College of Computing Pollution Public health Research School of Science Sustainability

Simpler models can outperform deep learning at climate prediction

New research shows the natural variability in climate data can cause AI models to struggle at predicting local temperature and rainfall.

Algorithms Artificial Intelligence Autonomous vehicles Cities Civil and environmental engineering Climate change Computer modeling Computer science and technology Electrical engineering and computer science (EECS) Emissions IDSS Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research School of Engineering Sustainability Transportation

Eco-driving measures could significantly reduce vehicle emissions

New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.