We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

The shift from volume to value requires more than enthusiasm. It requires engineering discipline, business ownership and the ...

Nigeria faces enormous public service challenges from traffic congestion in high urbanised areas to insecurity, healthcare delays, and inconsistent public planning. But with the right use of ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an ...

Despite advanced algorithms and automation, one truth remains: Effective cybersecurity requires a careful balance between machine precision and human judgment.

What impressed judges was not only the sophistication of the underlying models, but also Bloomberg’s consistent demonstration ...

Uttarakhand Chief Minister Bhupendra Patel launched a series of citizen-centric projects, schemes and policies in Gandhinagar ...

Sweat gives you the opportunity for real-time monitoring, which is crucial for health metrics like stress responses or glucose fluctuations.

Ethical disclosures and Gaussian Splatting are on the wane, while the sheer volume of submitted papers represents a new ...

Cofactor Genomics, a commercial-stage diagnostics company transforming precision oncology through RNA-based predictive tests, today announced strategic investments from Labcorp and Ascension Ventures.