Synopsys

Exchange frameworks are emerging to make it easier for neural-network developers to swap between development environments.

Machine-learning strategies for embedded vision are evolving so quickly that designers need access to flexible, heterogenous processor architectures that can adapt as the algorithms evolve.

Ashish Darbari breaks down formal's value to this challenging verification task with code examples and reference to VC Formal from Synopsys.

Designers need to understand how the architecture of electronic control units used to implement ADAS in vehicles is changing.

Choosing the right crypto processor implementation involves a complex set of design tradeoffs between speed, area, power consumption and flexibility. Using consistent benchmarks can help explore your options.

An evolution of the Ethernet standard enable time-sensitive networking with the predictable latencies and guaranteed bandwidth necessary for automotive applications.

Many car manufacturers are exploring the possibilities of autonomous vehicles. But what will it take to build sufficient AI performance into them to enable true autonomy?

Increasing resolutions and rising frame rates are making it more challenging than ever to drive embedded displays effectively.

How to combine a display processing unit from one company and a MIPI Display Serial Interface solution from another to build 4K embedded displays for smartphones and AR/VR devices.

Moving up to PCIe 5.0 speeds demands rethinking everything from silicon design through choice of PCB material and connectors up to track layout and validation.