As more people adapt to exercising from home, the demand for equipment that offers practical strength training without taking ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

This article provides an overview of benchmarking strategies at a different set of abstraction levels and related best practices in each, while working to also ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

Introduction to Machine Learning 2 This course introduces basic ideas of machine learning with a focus on the most popular machine learning algorithms for supervised and unsupervised learning. The ...

Designing, building, and applying new technologies—especially those that include artificial intelligence—can be a double-edged sword: powerful and enabling on the one hand, but potentially biased and ...

xii, 376 pages : 24 cm Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research ...

The panel identified opportunities for merging AI/ML and SDF such as computational efficiency, improved decision making, expanding knowledge, and providing security; while highlighting challenges for ...