One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

Enterprises face key challenges in harnessing unstructured data so they can make the most of their investments in AI, but several vendors are addressing these challenges.

Industry experts share insights and predictions on how medtech will collaborate with healthcare to take AI and other services ...

Under the revised EU AML/CFT package, institutions are expected to adopt more sophisticated, proactive approaches to ...

Aseptic processing demands reliable, robust, and validated analytical methods to ensure sterility, safety, and quality, ...

The job market faces a persistent gap between AI knowledge and practical application. Employers seek professionals who can navigate real-world challenges.

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Courts are increasingly confronting AI-generated and AI-manipulated evidence land on their dockets. But with innovation comes ...

Automakers are racing to deploy Level 3 automated driving, promising hands-off relief in traffic while insisting that drivers ...

Huang, W. , Sun, K. and Weng, Z. (2026) Course Development for “The Robot World”: Cultivating Ethical Values within Technical Education. Creative Education, 17, 58-66. doi: 10.4236/ce.2026.171005 .