Scientists make first detection of exotic “X” particles in quark-gluon plasma
The findings could redefine the kinds of particles that were abundant in the early universe.
The findings could redefine the kinds of particles that were abundant in the early universe.
Researchers have created a method to help workers collaborate with artificial intelligence systems.
SMART breakthrough could help develop technologies that can identify materials according to desired properties for specific applications.
Researchers develop a way to test whether popular methods for understanding machine-learning models are working correctly.
The more social behaviors a voice-user interface exhibits, the more likely people are to trust it, engage with it, and consider it to be competent.
MIT EECS student and Mitchell Scholar hopes to play music in Dublin while working on his MS in intelligent systems.
MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
In 2.C01, George Barbastathis demonstrates how mechanical engineers can use their knowledge of physical systems to keep algorithms in check and develop more accurate predictions.
MIT researchers are testing a simplified turbulence theory’s ability to model complex plasma phenomena using a novel machine-learning technique.
The 2021-22 Accenture Fellows are bolstering research and igniting ideas to help transform global business.
Computational modeling shows that both our ears and our environment influence how we hear.
Assistant professor of civil engineering describes her career in robotics as well as challenges and promises of human-robot interactions.
Deep-learning methods confidently recognize images that are nonsense, a potential problem for medical and autonomous-driving decisions.
Strategy accelerates the best algorithmic solvers for large sets of cities.
The system could help physicians select the least risky treatments in urgent situations, such as treating sepsis.