Physical AI describes intelligent systems that can sense, interpret, and act in real environments. Think of self-driving cars ...

Many of today’s AI models are all about scale. They gobble up energy and demand constant increases in compute power to stay at the cutting edge. This isn’t the case with physical AI, which requires ...

The end goal of database design is to be able to transform a logical data model into an actual physical database. A logical data model is required before you can even begin to design a physical ...

Businesses must recognize the importance of physical data security. Many organizations focus primarily on digital security, inadvertently neglecting the safeguarding of physical assets. Physical data ...

2025 seems poised to be another tech-fuelled rollercoaster. The buzzy introduction of agentic AI alone is enough to keep any CTO's head spinning with its ability to make enterprise-specific decisions ...

Chandrakant D. Patel (NAE) is senior fellow and chief engineer and Savi Baveja is president of personalization & 3D printing and chief incubation officer, both at HP Inc. Cyber-physical systems are a ...

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 ...

Water distribution systems are increasingly integrating digital control and monitoring technologies to enhance operational efficiency and resource management. However, this digitisation has introduced ...

Stop guessing and start optimizing. DCIM provides real-time visibility into power, cooling, space, and asset health to reduce costs, increase reliability, and future-proof your capacity planning. Data ...