Demystifying the world of deep networks
Researchers discover that no magic is required to explain why deep networks generalize despite going against statistical intuition.
Machine learning picks out hidden vibrations from earthquake data
Technique may help scientists more accurately map vast underground geologic structures.
To self-drive in the snow, look under the road
Weather’s a problem for autonomous cars. MIT’s new system shows promise by using “ground-penetrating radar” instead of cameras or lasers.
Dreaming big in a small country
MIT students teach machine learning and entrepreneurship in Uruguay through MIT Global Startup Labs.
Bringing deep learning to life
MIT duo uses music, videos, and real-world examples to teach students the foundations of artificial intelligence.
A human-machine collaboration to defend against cyberattacks
PatternEx merges human and machine expertise to spot and respond to hacks.
Artificial intelligence yields new antibiotic
A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
Richard Dudley, professor emeritus of mathematics, dies at 81
Longtime MIT professor strongly influenced the fields of probability, statistics, and machine learning.
Bringing artificial intelligence into the classroom, research lab, and beyond
Through the Undergraduate Research Opportunities Program, students work to build AI tools with impact.
“Sensorized” skin helps soft robots find their bearings
Flexible sensors and an artificial intelligence model tell deformable robots how their bodies are positioned in a 3D environment.
Automated system can rewrite outdated sentences in Wikipedia articles
Text-generating tool pinpoints and replaces specific information in sentences while retaining humanlike grammar and style.
Maintaining the equipment that powers our world
By organizing performance data and predicting problems, Tagup helps energy companies keep their equipment running.
Bridging the gap between human and machine vision
Researchers develop a more robust machine-vision architecture by studying how human vision responds to changing viewpoints of objects.
Brainstorming energy-saving hacks on Satori, MIT’s new supercomputer
Three-day hackathon explores methods for making artificial intelligence faster and more sustainable.
Hey Alexa! Sorry I fooled you ...
MIT’s new system TextFooler can trick the types of natural-language-processing systems that Google uses to help power its search results, including audio for Google Home.