SeXX and Immunity event raises crucial questions for society
Why has it taken the scientific community so long to include sex as a biological variable in research and analysis as a matter of course?
Why has it taken the scientific community so long to include sex as a biological variable in research and analysis as a matter of course?
Yogesh Surendranath and his team are bringing powerful techniques of electrochemistry to bear on the problem of designing catalysts for sustainable fuels.
Electric fields may represent information held in working memory, allowing the brain to overcome “representational drift,” or the inconsistent participation of individual neurons.
An efficient machine-learning method uses chemical knowledge to create a learnable grammar with production rules to build synthesizable monomers and polymers.
In his book, “New Industrial Urbanism,” Eran Ben-Joseph looks at the evolving form and function of 21st-century cities.
A new technique could enable a robot to manipulate squishy objects like pizza dough or soft materials like clothing.
Brent Minchew leads two proposals to better understand glacial physics and predict sea-level rise as part of MIT's Climate Grand Challenges competition.
A new technique for removing bias in datasets can enable machine-learning models to make loan approval predictions that are both fair and accurate.
Cannabinoid receptors help the brain’s dopamine system establish key connections after birth, a new mouse study suggests.
Associate professor and principal investigator with the MIT Schwarzman College of Computing’s Science Hub discusses the future of robotics and the importance of industry-academia collaborations.
Mary Gehring is using her background in plant epigenetics to grow climate-resilient crops.
MIT AI Hardware Program launches with five inaugural companies to advance AI technologies for the next decade.
“Privid” could help officials gather secure public health data or enable transportation departments to monitor the density and flow of pedestrians, without learning personal information about people.
Faculty leaders detail promising technologies, materials, and methods that could help unlock a low-carbon future in sectors where emissions are hardest to cut.
Researchers design a user-friendly interface that helps nonexperts make forecasts using data collected over time.