Morten Christiansen |  November 5, 2018
The basics of USB 3.2, how to implement it in an SoC, and how USB Type-C connectors and cables are used in USB 3.2 systems.
Allen Watson |  October 3, 2018
Exchange frameworks are emerging to make it easier for neural-network developers to swap between development environments.
Gordon Cooper |  September 23, 2018
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.
Vijay Chobisa |  June 11, 2018
An introduction to how virtual emulation has fueled the application of co-modeling for complex design verification.
Gordon Cooper |  May 24, 2018
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?
Steve Mensor |  April 23, 2018
Artificial intelligence and machine learning require the performance and flexibility offered by embedded FPGA (eFPGA) technology.
Gordon Cooper |  February 27, 2018
High-performance vision-processing algorithms need optimized CNN engines to deliver the right performance within the power budget of embedded applications.
Luke Collins |  February 14, 2018
Using specialised processors to implement key AI computation tasks such as CNNs.
Rich Collins |  November 6, 2017
The challenge for designers is to find ways of providing high levels of security in low-cost devices that have become worthwhile targets because of their role as gateways to more valuable information.
Michael Chen |  October 14, 2017
The assumption has been that extra security eats into profit margins. But with some lateral thinking it can actually improve the bottom line.