Researchers in Korea and Japan have proposed sideways-stacked DRAM designs that could push future AI memory beyond ...

Researchers developed a new chip stacking method that could quadruple AI memory density, potentially solving one of the biggest hardware bottlenecks slowing AI down today.

The company is replacing hard-to-find high bandwidth memory (HBM) with LPDDR5X in its latest Versal processor.

A Korean research team has developed a technology that enables the stable stacking of more than 10 ultrathin semiconductor ...

Buffer overflow vulnerabilities have driven remote code execution for decades and keep appearing in critical network ...

A security researcher published six vulnerabilities in llama.cpp's model-file parser to the oss-security mailing list on May 15, 2026 — and none of them carry an assigned CVE number, meaning standard ...

Abstract: JavaScript has significantly evolved, broadening its capabilities. However, the uptake of tail call optimization (TCO) remains limited, largely due to concerns about debugging difficulties ...

Dubbed Bleeding Llama, the flaw gives attackers direct access to sensitive data stored in the most popular framework for running AI models on local hardware. A critical vulnerability in Ollama poses a ...

The post AI Vulnerability Chaining – Why Your Security Stack Cannot Detect What Comes Next appeared first on Deepak Gupta | AI & Cybersecurity Innovation Leader | Founder's Journey from Code to Scale.

A 27-year-old bug sat inside OpenBSD’s TCP stack while auditors reviewed the code, fuzzers ran against it, and the operating system earned its reputation as one of the most security-hardened platforms ...