Mechanical engineers have designed a more effective and energy-efficient technology for cooling computer chips. Published in ...

Sales of Intel's central processing units and custom AI processors are gaining traction as AI inference workloads grow.

Hyperscaler cloud is inherently global. Does that make data sovereignty unattainable – especially given the powers US courts ...

The conversation around explainable AI has never been more urgent, but you cannot have explainable AI without explainable ...

Modern computing has many foundational building blocks, including central processing units (CPUs), graphics processing units (GPUs) and data processing units (DPUs). However, what almost all modern ...

Sui blockchain's parallel transactions, zero-knowledge proofs, and quantum-safe cryptography make it a top contender for ...

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

Enterprise AI workloads require infrastructure designed for large-scale data processing and distributed computing.

Agentic AI systems reason continuously and make real-time decisions—a fundamental shift that requires different infrastructure than traditional AI training.

The processor's compute-in-memory architecture departs from the conventional separation between processing and storage.

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...