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

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

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

What happens when intelligence moves off the cloud and onto the device? Edge AI Studio cuts latency, improves performance, ...

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

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...

Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...

Authored by Karthik Chandrakant, this foundational resource introduces readers to the principles and potential of AI. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant ...

Researchers at Duke University combined Dynamic Optical Contrast Imaging (DOCI) with AI to improve thyroid cancer detection and surgical planning. DOCI captures the natural autofluorescence of tissue ...

The procedure is based around dynamic optical contrast microscopy (DOCI), a technique in development at UCLA since 2016. It ...

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.

Why traditional safety metrics fail to prevent serious injuries and fatalities—and how AI helps EHS teams identify PSIF risks ...