Ed Boyden receives 2018 Canada Gairdner International Award
MIT scientist is among three recognized for the discovery of optogenetics.
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Introducing the Innovation Mentors
Through pilot program, mentors help fellow students through the stages of innovation and entrepreneurship at MIT.
MIT hosts Saudi-U.S. innovation forum
Gathering focuses on spurring new directions for economic development.
Depth-sensing imaging system can peer through fog
Computational photography could solve a problem that bedevils self-driving cars.
The autonomous “selfie drone”
Alumni’s video-capturing drone tracks moving subjects while freely navigating any environment.
Students build assistive technologies at MIT’s annual ATHack
Citizens with disabilities from Greater Boston and students gathered to build prototypes of personalized assistive devices.
Contact lenses that deliver drugs directly to the eye win health care prize
Eight teams pitched novel inventions at MIT Sloan Healthcare Innovations Prize competition.
Study: On Twitter, false news travels faster than true stories
Research project finds humans, not bots, are primarily responsible for spread of misleading information.
MIT Intelligence Quest kicks off
A star-studded lineup helps the Institute celebrate the launch of a new initiative on human and machine intelligence.
Edward Boyden named inaugural Y. Eva Tan Professor in Neurotechnology
Neuroengineering leader appointed to new professorship at the McGovern Institute for Brain Research.
MIT and SenseTime announce effort to advance artificial intelligence research
Alliance will be part of new MIT Intelligence Quest.
Seeing the brain's electrical activity
Fluorescent sensor allows imaging of neurons' electrical communications, without electrodes.
Digital archive showcases work from the Center for Advanced Visual Studies
The collection features groundbreaking projects from pioneers working at the intersection of art, science, and technology.
Eight MIT researchers win 2018 Sloan Research Fellowships
Faculty from six MIT departments among 126 selected from across the U.S. and Canada.
Study finds gender and skin-type bias in commercial artificial-intelligence systems
Examination of facial-analysis software shows error rate of 0.8 percent for light-skinned men, 34.7 percent for dark-skinned women.