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

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 ...

Abstract: Cyclic redundancy check-aided tail-biting convolutional code (CRC-TBCC) is considered as a competitive candidate for ultra-reliable and low-latency communications (URLLC) in short-length ...

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 ...

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

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 ...

Abstract: In this research paper, we present a novel method for obtaining the patterns of inputs that generate low-weight codewords in Recursive Systematic Convolutional (RSC) codes, hereafter ...

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 ...

Md Firoz Kabir, a PhD researcher in Information Technology, is emerging as a leading voice in artificial intelligence-driven ...