The permanent struggle for liberty
Daron Acemoglu’s new book examines the battle between state and society, which occasionally produces liberal-democratic freedom.
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Bridging the information gap in solar energy
PhD student Elise Harrington studies the ways rural communities in Kenya and India learn about solar energy products and their options as consumers.
A new lens into the past
Summer program in civil and environmental engineering examines the intersection of modern engineering and cultural heritage.
Leadership transition announced for MIT Media Lab
Executive committee will lead lab during interim period.
Uncovering links between architecture, politics, and society
“Every building is ultimately a compromise” involving many stakeholders, says architectural historian Timothy Hyde.
When rats work to protect human safety
PhD student Jia Hui Lee studies global differences in how humans relate to other animals, including rats that detect land mines.
Exotic physics phenomenon is observed for first time
Observation of the predicted non-Abelian Aharonov-Bohm Effect may offer step toward fault-tolerant quantum computers.
From city to city, MIT Better World connects alumni and ideas
New MIT Better World video playlist documents events touching on the science of teaching and learning, challenges in environment and sustainability, and more.
Council for the Arts at MIT welcomes Andrea Volpe as new director
The council has funded arts programs at MIT for 47 years.
MIT’s fleet of autonomous boats can now shapeshift
New capabilities allow “roboats” to change configurations to form pop-up bridges, stages, and other structures.
MIT engineers build advanced microprocessor out of carbon nanotubes
New approach harnesses the same fabrication processes used for silicon chips, offers key advance toward next-generation computers.
Ramona Allen named vice president for human resources
Now SA+P’s head of HR, she brings 30 years of service across the Institute.
IBM gives artificial intelligence computing at MIT a lift
Nearly $12 million machine will let MIT researchers run more ambitious AI models.
Boosting computing power for the future of particle physics
Prototype machine-learning technology co-developed by MIT scientists speeds processing by up to 175 times over traditional methods.