Visualizing the world beyond the frame
Researchers test how far artificial intelligence models can go in dreaming up varied poses and colors of objects and animals in photos.
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.
MIT system cuts the energy required for training and running neural networks.
WiDS Cambridge, co-hosted by the Institute for Data, Systems, and Society, recognizes and empowers women in STEM across a variety of disciplines.
Startup Posh has created chatbots that use “conversational memory” to have more natural exchanges.
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.
Life science companies use Paradigm4’s unique database management system to uncover new insights into human health.
Translated into sound, SARS-CoV-2 tricks our ear in the same way the virus tricks our cells.
Sorting through millions of possibilities, a search for battery materials delivered results in five weeks instead of 50 years.
With help from artificial intelligence, researchers identify hidden power of vitamin A and ordinary chewing gum glaze.
New technique allows for more precise measurements of deformation characteristics using nanoindentation tools.
Catherine D’Ignazio’s new book, “Data Feminism,” examines problems of bias and power that beset modern information.
Professor Aleksander Madry strives to build machine-learning models that are more reliable, understandable, and robust.