The promise and pitfalls of artificial intelligence explored at TEDxMIT event
MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
Physics and the machine-learning “black box”
In 2.C01, George Barbastathis demonstrates how mechanical engineers can use their knowledge of physical systems to keep algorithms in check and develop more accurate predictions.
Tackling hard computational problems
David Gamarnik has developed a new tool, the overlap gap property, for understanding computational problems that appear intractable.
Making computation come alive
A new course teaches students how to use computational techniques to solve real-world problems, from landing a spacecraft to placing cell phone towers.
MIT in the media: 2021 in review
MIT community members made headlines around the world for their innovative approaches to addressing problems local and global.
MIT community in 2021: A year in review
Top Institute stories dealt with the return to campus and continued response to Covid-19, MIT’s commitments to climate action, its support of a diverse community, and more.
MIT’s top research stories of 2021
The year’s popular research stories include a promising new approach to cancer immunotherapy, the confirmation of a 50-year-old theorem, and a major fusion breakthrough.
Q&A: Cathy Wu on developing algorithms to safely integrate robots into our world
Assistant professor of civil engineering describes her career in robotics as well as challenges and promises of human-robot interactions.
Giving bug-like bots a boost
A new fabrication technique produces low-voltage, power-dense artificial muscles that improve the performance of flying microrobots.
From counting blood cells to motion capture, sensors drive patient-centered research
SENSE.nano symposium highlights the importance of sensing technologies in medical studies.
Nonsense can make sense to machine-learning models
Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.
Systems scientists find clues to why false news snowballs on social media
A new model shows that the more polarized and hyperconnected a social network is, the more likely misinformation will spread.
$7 million gift from the Shiv Nadar Foundation bolsters undergraduate research and women in EECS
Gift will help establish the Vamasundari Devi Fellowship Fund to provide financial support to graduate students and the SuperUROP program, which provides undergraduates with two-semester research opportunities.
Q&A: Can the world change course on climate?
Political scientist Nazli Choucri discusses challenges and hopes for global coordination on climate issues — and the role of political science in the process.
Machine learning speeds up vehicle routing
Strategy accelerates the best algorithmic solvers for large sets of cities.