A cross-departmental team is leading efforts to utilize machine learning for increased efficiency in heating and cooling MIT’s buildings.
The findings, based on a single electrochemical process, could help cut emissions from the hardest-to-decarbonize industries, such as steel and cement.
MIT system demonstrates greater than 100-fold improvement in energy efficiency and a 25-fold improvement in compute density compared with current systems.
Study shows that cities’ plans often won’t achieve their goals, but decarbonizing the local grid could make the difference.
Critical needs for curbing greenhouse gases include non-fossil fuel aviation, buildings, electric grids, industrial processes, and the potential of fusion power.
A full-building energy efficiency project aims to reduce total campus emissions by 2 percent.
Delegates from MIT attended COP27 in Sharm el-Sheikh, Egypt, where international climate negotiations went down to the wire.
A technique that transforms the metals’ microscopic structure may enable energy-efficient 3D printing of blades for gas turbines or jet engines.
Workshop hosted by MIT’s Climate and Sustainability Consortium, MIT-IBM Watson AI Lab, and the MIT Schwarzman College of Computing highlights how new approaches to computing can save energy and help the planet.
MIT AI Hardware Program launches with five inaugural companies to advance AI technologies for the next decade.
Postdoc Francesco Benedetti strives to make a positive impact — from helping to form supportive student groups to tackling industrial energy waste.