AI is reducing manual data work, allowing engineers to focus on system design and reliability. Real-time and cloud-based data ...

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 ...

Modern control system design is increasingly embracing data-driven methodologies, which bypass the traditional necessity for precise process models by utilising experimental input–output data. This ...

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 ...

AlgoX2, a distributed data streaming infrastructure platform building a solution for throughput-critical applications, today announced it has raised $3.5 million in seed funding. The round was led by ...

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 ...

Using workarounds to pipe data between systems carries a high price and untrustworthy data. Bharath Chari shares three possible solutions backed up by real use cases to get data streaming pipelines ...

With AI advancing at breakneck speed, concerns over data privacy are intensifying. Businesses worldwide are grappling with issues like data security, transparency, and the implications of open vs.

Like other EDA vendors, Siemens EDA has over the past few years been adding artificial intelligence and machine learning capabilities to its suite of EDA (electronic design automation) tools. At the ...

Why cooling is critical to data center system design. What types of cooling options are available to designers? Advantages and disadvantages of single-phase immersion cooling. Today, most present ...