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

Communication-system designers have always had to deal with trade-offs among data reliability, efficient use of available spectrum, data throughput, and cost. Error-correction coding (ECC) is one of ...

Why is a Chinese quant shop behind one of the world’s strongest open-weight LLMs? It turns out that modern quantitative investing and frontier AI labs are converging on the same institutional machine: ...

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

FEC (forward-error-correction) techniques correct errors at the receiver end of digital communications systems. In contrast with error-detection and retransmission ...

Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

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

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

Most edge AI demonstrations operate flawlessly in controlled environments with stable networks, predictable traffic, and ...

Mount Sinai analysis looks at the effectiveness of electrocardiograms analyzed via deep learning as a tool for early COPD detection ...

NVIDIA’s rise from graphics card specialist to the most closely watched company in artificial intelligence rests on a ...

The AI pioneer on stepping down from Meta, the limits of large language models — and the launch of his new start-up ...