Putting vision models to the test
Study shows that artificial neural networks can be used to drive brain activity.
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MIT Solve announces $1.25 million in funding for 2019 Solver teams
Prizes from GM, the Patrick J. McGovern Foundation, Vodafone Americas Foundation, and others will be awarded to Solver teams selected from four Global Challenges.
J-Clinic names 18 grant recipients from across Institute
Projects will develop new AI technologies that detect and prevent diseases.
Liberty Mutual Insurance joins MIT's Quest for Intelligence
Company announces $25 million, five-year collaboration.
IDEAS challenge showcases social ventures at MIT
Ten student teams receive $100,000 in combined awards to pursue their impact-driven projects.
For better deep neural network vision, just add feedback (loops)
The DiCarlo lab finds that a recurrent architecture helps both artificial intelligence and our brains to better identify objects.
Top collegiate inventors awarded 2019 Lemelson-MIT Student Prize
Students recognized for revolutionary solutions to women’s health, food waste, transportation, and mobility and communication for people with disabilities.
Improving security as artificial intelligence moves to smartphones
Researchers unveil a tool for making compressed deep learning models less vulnerable to attack.
Can science writing be automated?
A neural network can read scientific papers and render a plain-English summary.
Vivienne Sze wins Edgerton Faculty Award
EECS faculty member is recognized for technical innovation, educational excellence, and efforts to advance women and underrepresented minorities in her field.
Giving robots a better feel for object manipulation
Model improves a robot’s ability to mold materials into shapes and interact with liquids and solid objects.
Driving toward success
Through MIT Professional Education’s Advanced Study Program, Ernie Ho found the tools — and the community — he needed to realize his vision and launch his career.
Teaching machines to reason about what they see
Researchers combine statistical and symbolic artificial intelligence techniques to speed learning and improve transparency.
3 Questions: What is linguistics?
MIT Professor David Pesetsky describes the science of language and how it sheds light on deep properties of the human mind.
Kicking neural network design automation into high gear
Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods.