Computational thinking class enables students to engage in Covid-19 response
Nearly 300 students join an open course that applies data science, artificial intelligence, and mathematical modeling using the Julia language to study Covid-19.
Q&A: Markus Buehler on setting coronavirus and AI-inspired proteins to music
Translated into sound, SARS-CoV-2 tricks our ear in the same way the virus tricks our cells.
Neural networks facilitate optimization in the search for new materials
Sorting through millions of possibilities, a search for battery materials delivered results in five weeks instead of 50 years.
“Inactive” pill ingredients could raise the dose of your medication
With help from artificial intelligence, researchers identify hidden power of vitamin A and ordinary chewing gum glaze.
Deep learning for mechanical property evaluation
New technique allows for more precise measurements of deformation characteristics using nanoindentation tools.
The elephant in the server room
Catherine D’Ignazio’s new book, “Data Feminism,” examines problems of bias and power that beset modern information.
“Doing machine learning the right way”
Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.
Showing robots how to do your chores
By observing humans, robots learn to perform complex tasks, such as setting a table.
A new model of vision
Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.
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.
MIT Solve announces 2020 global challenges
Tech-based solutions sought for challenges in work environments, education for girls and women, maternal and newborn health, and sustainable food.
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.