Embedded and edge computing designs can often benefit from out-of-the-box hardware solutions that eliminate the need for extra components like FPGAs but can still support safety-critical and high-performance applications like smart city and smart factory applications.

Control system architects and embedded software developers are often tasked with initiating and advancing systems, each with diverse requirements in demanding environments. To streamline the development process, developers can make use of an out-of-the-box solution that provides simplified workflows, easy integration and functionality, hardware inclusion, accessibility, and more.

Typically developed as a comprehensive package for hobbyists, students, and engineering professionals alike, a robotics starter kit is an accessible and organized way for individuals to expand and explore new skills to develop machine vision, factory automation, and industrial communication and control applications.

AMD announced the completion of its acquisition of Xilinx in an all-stock transaction.

Xilinx and Motovis, a provider of embedded AI autonomous driving, announced that the two companies are collaborating on a solution that pairs the Xilinx Automotive (XA) Zynq system-on-chip (SoC) platform and Motovis’ convolutional neural network (CNN) IP to the automotive market, specifically for forward camera systems’ vehicle perception and control.

The KV260 Vision AI Starter Kit is based on Xilinx’s Kria K26 system on module, which is a … wait, wait, wait. A system on module from Xilinx?