Explore privacy-preserving biometric verification techniques using handwritten inputs. Learn about securing sensitive data with homomorphic encryption and zero-knowledge proofs for authentication.

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

Shiba Inu faces divided sentiment after a major downturn as investors weigh regulation, utility, and supply risks ahead of ...

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

A new research paper reframes the simulation hypothesis, asking whether reality could be simulated and what science can test.

Some stories, though, were more impactful or popular with our readers than others. This article explores 15 of the biggest ...

Agentic AI adoption & identity security risks, IGA expansion, SOC-identity team collaboration, & identity platform ...

Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...

When the IBM PC was new, I served as the president of the San Francisco PC User Group for three years. That’s how I met PCMag’s editorial team, who brought me on board in 1986. In the years since that ...

Nicola, A.A. (2026) Open Flow Controller Architecture for Seamless Connectivity and Virtualization Technologies.