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 ...

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

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.

Huang, W. , Sun, K. and Weng, Z. (2026) Course Development for “The Robot World”: Cultivating Ethical Values within Technical Education. Creative Education, 17, 58-66. doi: 10.4236/ce.2026.171005 .

Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...

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

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...

If your calendar is packed with standups, releases, and stakeholder calls, structured learning can feel out of reach. Yet AI ...

Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...

A generative AI system can now analyze blood cells with greater accuracy and confidence than human experts, detecting subtle signs of diseases like leukemia. It not only spots rare abnormalities but ...