Breaking the scaling limits of analog computing
New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
New technique could diminish errors that hamper the performance of super-fast analog optical neural networks.
MIT undergraduate researchers Helena Merker, Harry Heiberger, and Linh Nguyen, and PhD student Tongtong Liu, exploit machine-learning techniques to determine the magnetic structure of materials.
Battery power from electric vehicles to the grid could open a fast lane to a net-zero future.
Researchers have developed a programmable optical device for high-speed beam steering.
Known as PASTE, the technique holds potential for treating a variety of diseases caused by faulty genes.
The MIT senior will pursue postgraduate studies in computer science in Ireland.
New research reveals a scalable technique that uses synthetic data to improve the accuracy of AI models that recognize images.
New system can teach a group of cooperative or competitive AI agents to find an optimal long-term solution.
New observations show the deepest parts of the quasar's plasma jet in a project led by MIT Haystack Observatory.
In people carrying APOE4, a key brain cell mismanages cholesterol needed to insulate neurons properly — another sign APOE4 contributes to disease by disrupting brain lipids.
Researchers make progress toward groups of robots that could build almost anything, including buildings, vehicles, and even bigger robots.
Researchers harness new pooled, image-based screening method to probe the functions of over 5,000 essential genes in human cells.
Associate Professor Mai Hassan documents bureaucratic systems in Eastern Africa set up for coercion, as well as roadblocks to democratic government.
New data suggest most of the growth in the wage gap since 1980 comes from automation displacing less-educated workers.
A new technique that accurately measures how atom-thin materials expand when heated could help engineers develop faster, more powerful electronic devices.