Tackling the energy revolution, one sector at a time
A new study on techno-economic outlooks for zero-emission heavy-duty trucking underscores the need for cross-sector collaboration.
A new study on techno-economic outlooks for zero-emission heavy-duty trucking underscores the need for cross-sector collaboration.
Thomas Heldt, associate director of IMES, describes how he collaborates closely with MIT colleagues and others at Boston-area hospitals.
ASPIRE program brings MIT-style research, innovation, and entrepreneurship to Central America, sparking sustainable development by and for the people.
The MIT Human Insight Collaborative will elevate the human-centered disciplines and unite the Institute’s top scholars to help solve the world’s biggest challenges.
The MIT Energy Initiative and a consortium of Taiwanese companies are exploring how Taiwan can secure its energy future as the world transitions away from fossil fuels.
MIT pK-12 at Open Learning co-created a secondary school learning architecture that’s available for adoption and adaptation by educational practitioners worldwide.
Through the Civil Discourse Project at MIT, scholarly debate serves as a model for productive discussions among MIT Concourse students.
National Science Foundation grant expected to help New England researchers translate discoveries to commercial technology.
MIT Kavli Institute scientists and collaborators will produce a concept study to launch a $1B experiment to investigate the X-ray universe.
In parallel, MIT and Universidad del Valle de Guatemala students seek to advance local innovation by and for Guatemalan communities.
Anthropologists Manduhai Buyandelger and Lauren Bonilla discuss the humanistic perspective they bring to a project that is yielding promising results.
MIT and Lincoln Laboratory are among awardees of $38 million in project awards to the Northeast Microelectronics Coalition to boost U.S. chip technology innovation.
The program will invite students to investigate new vistas at the intersection of music, computing, and technology.
With the help of MIT’s online resources, Doğa Kürkçüoğlu, now a staff scientist at Fermilab, was able to pursue his passion for physics.
“Co-LLM” algorithm helps a general-purpose AI model collaborate with an expert large language model by combining the best parts of both answers, leading to more factual responses.