Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

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

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.

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

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

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

Nikkhil K Masurkar Wednesday, January 14, 2026, 08:00 Hrs [IST] Myopia is a widespread vision issue affecting over two ...

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 ...

The bioconcentration factor shows the concentration of chemical substances in fish as compared to the surrounding water. It ...

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

Mount Sinai researchers showed that deep learning applied to standard ECGs accurately detected chronic obstructive pulmonary ...