AI will impact every industry and every aspect of society. The pace of AI continues to be relentlessly fueled by new software, hardware, and learning paradigms, and it remains a challenge to meet the ...

In today’s fast-paced electronics design automation (EDA) environment, effective data management has become essential.

An elegant solution to many embedded software systems problems is leveraging data-centric software design. Data is at the heart of every embedded system. First, data is acquired through sampling ...

The Uptime Institute’s Tier standard is a globally recognized framework that classifies data centers into four tiers based on their infrastructure’s reliability, redundancy, and fault tolerance. These ...

Analyzes design of data systems, including data stored in file systems, database management systems and physical data organizations. Studies calculus of data models, query languages, concurrency and ...

Peter Huang, Global President - Data Center & Thermal Management at bp Castrol, explains why AI isn't just consuming more ...

The rapid escalation of AI/ML workloads—driven by increasingly large language models—is reshaping high-performance computing and AI data center architectures. Real-time inference and large-scale ...