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

Satyam Kumar’s rise from rural Bihar to elite research labs in the United States has emerged as one of the most remarkable academic journeys. Known fo.

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 ...

Machine learning is revolutionizing fundamental science by tackling long-standing mathematical challenges. A key example is ...

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

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

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.

Recent advances in the field of artificial intelligence (AI) have opened new exciting possibilities for the rapid analysis of ...

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

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

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

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