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Climate News at MIT

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Energy EfficiencyAlternative FuelsClear All

PostOctober 14, 2020

3 Questions: The price of privacy in ride-sharing app performance

Masking location data helps avoid the identification of users in case of a security breach, but this loss of information can also lead to poorer quality of service in a location-based ride-sharing app.

PostOctober 13, 2020

Our midcentury climate goals require radical change today

MIT Technology Review

PostOctober 5, 2020

Comparing the benefits of scooter-sharing vs. bike-sharing

Based on usage trajectories, MIT and SMART researchers found scooter-sharing more popular than bike-sharing in two areas of Singapore. Seen here: scooters for rent in the United States.

PostOctober 1, 2020

MIT Energy Initiative Fall Colloquium: Net-zero emissions and social equity...

MIT Energy Initiative

PostAugust 18, 2020

Mobility Systems Center awards four projects for low-carbon transportation ...

The MIT Energy Initiative's Mobility Systems Center has selected four new low-carbon transportation research projects to add to its growing portfolio.

PostAugust 7, 2020

Shrinking deep learning’s carbon footprint

Deep learning has driven much of the recent progress in artificial intelligence, but as demand for computation and energy to train ever-larger models increases, many are raising concerns about the financial and environmental costs. To address the problem, researchers at MIT and the MIT-IBM Watson AI Lab are experimenting with ways to make software and hardware more energy efficient, and in some cases, more like the human brain.

PodcastMay 7, 2020

E5: TIL about energy efficiency

TILclimate Podcast

VideoFebruary 28, 2020

Watch the MIT Climate Action Symposium: Economy-wide Deep Decarbonization

MIT Climate Action

opening-remarks

PostFebruary 11, 2020

Brainstorming energy-saving hacks on Satori, MIT’s new supercomputer

PostJanuary 23, 2020

Understanding combustion

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