Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that ...
Facial emotion recognition could have broad applications across health care, education, marketing, transportation, and ...
As we move further into the digital age, the partnership between ML and cryptography will be crucial in protecting our data ...
and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be difficult to address. A specific application is Poisson... Save my User ID ...
Applications are now being accepted for the MSc Autonomous and Intelligent Systems program at the University of Sheffield in ...
Purdue information security doctoral candidate Fabrizio Cicala is researching how to prevent malware in smartphones and ...
An interview with Karl Friston, a computational psychiatrist and an architect of an AI developed to emulate natural ...
The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...
A research group has developed SPACIER, an advanced polymer material design tool that integrates machine learning with molecular simulations. As a proof of concept, the group successfully synthesized ...