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

Anmol Agarwal, senior security researcher at Nokia and adjunct professor, advances AI-driven cybersecurity for 5G and 6G ...

Quantum computing and its threat to current encryption and the unknown threat of powerful quantum automated by advanced AI.

Band Power Side-Channel Detection for Semiconductor Supply Chain Integrity at Scale” was published by researchers at Cornell ...

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

In this context, red teaming is no longer a niche exercise. It is the backbone for building secure, compliant, and ...

AI adoption is accelerating faster than enterprise oversight. Despite 200% AI usage growth in key sectors, many organizations still lack a basic inventory of AI models and embedded AI features, ...

The RFI outlines a broad and technically ambitious vision for how Special Operations Forces collect, analyze, and exploit identity-related data during missions.

Fashion educators, recruiters and consultants share insights on how to find job opportunities and win over employers in the ...

Why is a Chinese quant shop behind one of the world’s strongest open-weight LLMs? It turns out that modern quantitative ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

The cybersecurity landscape in 2026 will be dominated by AI-embedded risks, autonomous attacks, and supply chain ...