AMD requires a Senior AI/ML and GPU Performance QA Engineer who will manage validation and performance testing for machine ...

Software-defined vehicles require new frameworks as automakers shift from hardware-focused to software-centric development ...

Digital delivery is no longer limited to a few customer-facing applications. Today, organizations across banking, retail, healthcare, and manufacturing are building software-driven ecosystems that ...

Cyngn developed a simulation environment using NVIDIA Isaac Sim to test autonomous vehicle software in high-fidelity digital warehouses.

Convergence of silicon and system architecture, virtualization, and intelligent automation can accelerate innovation, reduce ...

AI-powered penetration testing is an advanced approach to security testing that uses artificial intelligence, machine learning, and autonomous agents to simulate real-world cyberattacks, identify ...

Hiring risk studies consistently show that technology failures increase variability in hiring outcomes and raise compliance concerns. Adoption research also indicates that recruiting software often ...

IoT penetration testing is a security assessment of the complete IoT ecosystem, from backend systems and cloud services to mobile devices and hardware. It involves a multi-stage simulated attack on ...

Embodied AI is central to modern autonomous driving systems. These systems do not merely perceive the environment; they ...

SPRandom has been contributed as an open‑source extension to the Flexible IO Tester (FIO) tool and is designed to work across ...

NSS with ML-KEM and ML-DSA algorithms passes lab testing and enters Modules in Process list, making Rocky Linux from CIQ one of the first Enterprise Linux distributions advancing FIPS-validated ...

Cyngn announced progress in its collaboration with NVIDIA through the development of a simulation environment built on NVIDIA ...