Smart carbon dioxide removal yields economic and environmental benefits
MIT study finds a diversified portfolio of carbon dioxide removal options delivers the best return on investment.
MIT study finds a diversified portfolio of carbon dioxide removal options delivers the best return on investment.
With seven new startups, MIT.nano's program for hard-tech ventures expands to more than 20 companies.
Providing electricity to power-hungry data centers is stressing grids, raising prices for consumers, and slowing the transition to clean energy.
Assistant Professor Manish Raghavan wants computational techniques to help solve societal problems.
As the use of generative AI continues to grow, Lincoln Laboratory's Vijay Gadepally describes what researchers and consumers can do to help mitigate its environmental impact.
MIT engineers designed a nanofiltration process that could make aluminum production more efficient while reducing hazardous waste.
Longtime MIT faculty member, award-winning author, and HASTS program co-founder was an expert in the influence of social context on science, and the organization of science in Russia and the Soviet Union.
The neuroscientist turned entrepreneur will be hosted by the MIT Schwarzman College of Computing and focus on advancing the intersection of behavioral science and AI across MIT.
MIT engineers developed AI frameworks to identify evidence-driven hypotheses that could advance biologically inspired materials.
A small fleet of autonomous surface vessels forms a large sonar array for finding submerged objects.
Researchers at MIT, NYU, and UCLA develop an approach to help evaluate whether large language models like GPT-4 are equitable enough to be clinically viable for mental health support.
The MIT senior will pursue graduate studies in the UK at Cambridge University and Imperial College London.
SERC Scholars from around the MIT community examine the electronic hardware waste life cycle and climate justice.
Research from the MIT Center for Constructive Communication finds this effect occurs even when reward models are trained on factual data.
Nobel laureate Daron Acemoglu has long studied technology-driven growth. Here’s how he’s thinking about AI’s effect on the economy.