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 ...

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

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.

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

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

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

While artificial intelligence (AI) models have proved useful in some areas of science, like predicting 3D protein structures, ...

Building on a strategy Xtrackers has run since 2019 – now with approximately $7 billion in assets under management globally and among the largest AI-focused ETFs – XAIX represents a contrast to broad ...

Nvidia's DLSS 4.5 is now available to all gamers, so I put it to the test to see whether it's worth using, and figure out ...