Advanced computer models can quantify the impacts of climate change and other environmental challenges, providing deep ...

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Unlike the linear sprints of Agile, CAIL is a "contracts-first" framework designed to tame the probabilistic nature of AI ...

MDR, MDSAP, and FDA audits demand rigorous preparation, lifecycle traceability, and risk-based compliance for global market ...

Artificial intelligence (AI) safety has turned into a constant cat-and-mouse game. As developers add guardrails to block ...

How Can We Secure The Middle East's AI Agent Workforce . As the Middle East progresses in its goal to become a global AI ...

We've talked a lot about ESP32-powered displays, but what about displays that pack two ESP32 chips inside? That's exactly ...

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...