Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

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.

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 ...

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

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

Cameras capture photons, but an intelligent system extracts meaning. Most organizations focus on recording while neglecting ...

With the rapid development of industrialization, large amounts of toxic and harmful gases such as NO2, CO, and NH3 are emitted during industrial ...

As AI models grow more complex, a new white-collar gig workforce has emerged to review and guide systems. A new category of ...

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.