IP Topics

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?

Why design data integrity matters from cell design to tapeout. These techniques will help ensure your validation process is as comprehensive as possible.

Artificial intelligence and machine learning require the performance and flexibility offered by embedded FPGA (eFPGA) technology.

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

3D integration technology has split into a number of different approaches, each of which brings a different combination of benefits in terms of performance.

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.

High-performance vision-processing algorithms need optimized CNN engines to deliver the right performance within the power budget of embedded applications.

Using specialised processors to implement key AI computation tasks such as CNNs.

Building secure SoCs takes a methodical approach, careful study of possible attacks, and embedded hardware that can provide a Root of Trust