Itron's Nick Tumilowicz asserts a need for an integrated approach to grid management that processes and acts on real-time data at the edge.

TCEP-based synchronization as a scalable and precise solution for achieving subnanosecond timing accuracy in distributed ...

The research team successfully implemented complex algorithms, such as Grover's search algorithm and quantum Fourier transform, within this simulation framework, demonstrating the feasibility of ...

Reviewing progress, lessons learned, and outstanding challenges in cybersecurity two decades after the landmark conference.

AI infrastructure is the specialized combination of high-performance computing hardware, data centers, networking systems, ...

China is taking fresh steps to strengthen its artificial intelligence sector by introducing subsidies in the form of ...

In the past, the CPU was the undisputed center of computing. But today, the GPU has taken that crown—not by replacing the CPU ...

The effectiveness of any AI system hinges on the quality of the data it learns from. Outdated, incomplete, or poorly structured data can undermine even the most sophisticated AI models. Data: ...

Traditional network architectures and protocols, once sufficient for cloud and enterprise workloads, are now being pushed to ...

Recently, Anshuman Saxena, Vice President of Product Management at Qualcomm Technologies, posed a thought-provoking question: "The development speed of 'integrated cockpit and driving' in the Chinese ...

A network digital twin is a software-based, dynamic emulation of a telecom network that continuously synchronizes with real-world data. Unlike prior simulation tools, it uses live telemetry, ...

Research finds ongoing rise of network outages has cost over a third of organisations between $1m and $5m over the past year, ...