Streamlined development platforms are now critical to edge AI deployment as larger AI/ML models raise complexity, time, and cost across embedded workflows.

FPGAs also provide hardware adaptability, deterministic processing, and high-speed I/Os, making them suited for physical AI applications. The growth of physical AI, which require a much richer set of ...

As these apps become broader team tools, the scale and breadth of the interaction start to matter. Users are working through more test and simulation data, and more of the value comes from the ...

Cadence Design Systems Inc. has introduced the Maestro AI Model Portfolio, a collection of domain-specialized artificial intelligence models designed to power agentic workflows across semiconductor ...