Machine learning and its subsets are useful for a wide range of problems, tasks, and applications. There’s computer vision, which allows computers to “see” and make sense of images and videos.

Machine vision can support manual inspection processes through automation. Using cameras and computer algorithms, products can undergo inspection for defects before they ever leave production.

Instead of acting as isolated tools, ML, DT, and Edge AI work together to create intelligent, adaptive, and self-optimizing ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Machine learning algorithms can be trained with real-world fraud data, allowing the system to classify suspicious fraud cases far more accurately. Inventory optimization ...

Machine learning is a rapidly growing field with endless potential applications. In the next few years, we will see machine learning transform many industries, including manufacturing, retail and ...

The July 2021 issue of IEEE/CAA Journal of Automatica Sinica features six articles that showcase the potential of machine learning in its various forms.

David S Watson, Jenny Krutzinna, Ian N Bruce, Christopher EM Griffiths, Iain B McInnes, Michael R Barnes, Luciano Floridi, Clinical applications of machine learning algorithms, BMJ: British Medical ...

New provisions that have been added to the Competition and Consumer Act will enable the ACCC to address future machine-powered anti-competitive conduct, chair Rod Sims has said.

(One full review typically takes 10 to 30 minutes.) Between the years 2000 and 2012, applications to the computer science Ph.D. program grew from about 250 to nearly 650, though the number of faculty ...