Search-and-rescue algorithm identifies hidden “traps” in ocean waters
Method may help quickly identify regions where objects — and missing people — may have converged.
Method may help quickly identify regions where objects — and missing people — may have converged.
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
Differently shaped RNA molecules allow HIV to express different genes from the same RNA sequence.
Researchers test how far artificial intelligence models can go in dreaming up varied poses and colors of objects and animals in photos.
Researchers unveil a pruning algorithm to make artificial intelligence applications run faster.
Researchers show that computers can “write” algorithms that adapt to radically different environments better than algorithms designed by humans.
CSAIL's Conduct-A-Bot system uses muscle signals to cue a drone’s movement, enabling more natural human-robot communication.
MIT system cuts the energy required for training and running neural networks.
Automated tools can help emergency managers make decisions, plan routes, and quantify road damage at city scales.
A machine learning algorithm combines data on the disease's spread with a neural network, to help predict when infections will slow down in each country.
Congestion control system could help streaming video, mobile games, and other applications run more smoothly.
Using a photorealistic simulation engine, vehicles learn to drive in the real world and recover from near-crash scenarios.
With help from artificial intelligence, researchers identify hidden power of vitamin A and ordinary chewing gum glaze.
Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.
By observing humans, robots learn to perform complex tasks, such as setting a table.