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Climate News at MIT

The latest climate change research and action happening in and around MIT.

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Energy EfficiencyForestsClear All

PostFebruary 28, 2024

Explained: Carbon credits

Clear, enforceable standards may make the difference in how effective carbon trading systems are in reducing global emissions.

PostFebruary 22, 2024

Researchers harness 2D magnetic materials for energy-efficient computing

This illustration shows electric current being pumped into platinum (the bottom slab), which results in the creation of an electron spin current that switches the magnetic state of the 2D ferromagnet on top. The colored spheres represent the atoms in the 2D material.

PostFebruary 12, 2024

Designing Distribution Network Tariffs Under Increased Residential End-user...

MIT Center for Energy and Environmental Policy Research

PostFebruary 12, 2024

Study: Global deforestation leads to more mercury pollution

Researchers studied the impact of deforestation on the global mercury cycle and found that deforestation accounts for about 10 percent of global human-made mercury emissions.

PostJanuary 2, 2024

Climate action, here and now

Hsu’s projects frequently yield practical and concrete steps for climate action.

PostDecember 13, 2023

Satellite-based method measures carbon in peat bogs

Researchers from MIT and Singapore have developed a mathematical analysis of how peat formations build and develop.

PodcastNovember 2, 2023

E5: Wildfires—and how we're changing them

TILclimate Podcast

PostOctober 25, 2023

Smart irrigation technology covers “more crop per drop”

Global Engineering and Research (GEAR) Lab students (from left to right) Georgia Van de Zande, Carolyn Sheline, and Fiona Grant pilot a low-cost precision irrigation controller that optimizes system energy and water use at a full-scale test farm in the Jordan Valley.

PostOctober 6, 2023

AGU Fall Meeting to encourage the pursuit of Open Science

MIT Center for Sustainability Science and Strategy

Photo: AGU Fall Meeting Central Exhibit Hall (Source: AGU)

PostOctober 5, 2023

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

MIT Lincoln Laboratory

At the Lincoln Laboratory Supercomputing Center, researchers are making changes to cut down on energy use. One of their techniques can reduce the energy of training AI models by 80 percent.

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