As the latest systems on chip (SoCs) grow in size and complexity, a vast amount of design data is generated during verification and implementation. Design data is business critical and, with the ...

Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with ...

High reliability applications in service-critical markets, such as autonomous driving and cloud computing, demand maximum performance and minimal power and cost. Reducing design margins while ...

News cycles are increasingly dominated by debates about AI’s impact on power systems, consumer energy prices, grid emissions and grid resilience.

In this special guest feature, Elaine Wang, CEO of MCoreLab, discusses the key platform requirements and architectural considerations for real-time big data analytics, and provide insights from best ...

With increased mergers and acquisitions, hospitals, hospital systems and Integrated Delivery Networks face significant challenges to aggregate and compare colossal datasets, identify problems, and ...

Data engineers have a big problem. Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical ...