As a core course in big data analysis technology, data mining and machine learning have a relatively short history and are basically in the process of exploration. There are many problems in the ...

Thirty-one members of the University of Chicago faculty have received distinguished service professorships or named ...

Conspiracy theories have always been a part of human history, drawing people in with stories of secret plots and hidden ...

DARPA’s Theory of Mind program combines AI and human expertise to predict adversaries' behavior, enhancing national security ...

Columnist Llewellyn King says an unfortunate result of the dash to secure AI franchise is big-tech companies rushed new ...

concentration and functional inequalities Mathematical aspects of quantum information theory, machine learning and deep neural networks. While excellent candidates with other research interests might ...

This is the case for Koopmans functionals, a promising approach to expand the power of density-functional theory so that ... shows that even a simple machine learning model, trained with a modest ...

Infotheo is a Coq library for reasoning about discrete probabilities, information theory, and linear error-correcting codes. Many thanks to several contributors. The principle of inclusion-exclusion ...

CLT argues that the brain has a limited capacity for processing information, and when cognitive load exceeds this capacity, learning is hindered. The theory divides cognitive load into three types ...

Machine learning (ML) has demonstrated huge potential to accelerate ... Traditional descriptors encompass compositional, structural, and spectral information. In the context of polymer materials, the ...

Please note that these are just the code examples accompanying the book, which we uploaded for your convenience; be aware that these notebooks may not be useful without the formulae and descriptive ...