Analytics-driven embedded systems bring analytics to embedded applications, moving many of the functions found in cloud-based, big-data analytics to the source of data. This allows for more efficient ...

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 ...

Microsoft says Cobalt 200 delivers a 50% performance increase over Cobalt 100 systemsMicrosoft targets data analytics and web services using workload-specific design methodsPer-core DVFS adjusts power ...

Improving the quality of your services, operations and other aspects of your business is one of the most critical things you do. One of the significant advantages of system analysis is that it helps ...

Emerging technology startups can reduce expensive compliance risks and significant potential financial losses by marshalling resources already at their disposal—their own data scientists. But how? By ...

Fragmented naming conventions and unstructured data across PLCs, SCADA, MES and ERP systems undermine even the most advanced ...

As the complexity of integrated circuit (IC) designs continues to rise, the task of verifying these designs has become increasingly challenging. The pace of this growth is staggering, with design ...

“In one embodiment of the present application, a data analytics system includes a data mining engine, a predictive analytics engine and a claims insight platform. The data mining engine analyzes a ...

“In one embodiment of the present application, a data analytics system includes a data mining engine, a predictive analytics engine and a claims insight platform. The data mining engine analyzes a ...