NXP’s i.MX 8M Plus applications processor enables machine learning and intelligent vision for consumer applications and the industrial edge. Learn about the features of this processor and how it can be used in embedded vision systems.
October 22, 2020 by Jeff Steinheider, NXP Semiconductors
This article looks at digit detection and recognition using MNIST eIQ as an example, which consists of several parts — the digit recognition is performed by a TensorFlow Lite model, and a GUI is used to increase the usability of the i.MX RT1060 device.
September 22, 2020 by David Piskula, NXP Semiconductors
In this article, we discuss some key security threats to be aware of when designing for the IoT, important security functions, and how protecting these designs is becoming easier with advances in security ICs.
September 15, 2020 by Scott Jones, Maxim Integrated
MCAD and ECAD have inserted themselves into most design engineers' day-to-day work. Although familiar, both programs have come a long way and are continuing to evolve. In this article, learn the past and future of these design tools.
August 27, 2020 by Sam Sattel, Autodesk
With the adoption of artificial intelligence and machine learning in a wide variety of applications, reliability verification of AI/ML processors is critical since failures can have major consequences for the validity and legitimacy of AI/ML technology.
January 21, 2020 by Neel Natekar, Mentor
Historically, FPGAs have been challenging to work with. To combat that reputation, Xilinx developed programmable devices that simplify—and accelerate—the implementation of customized hardware development.
June 08, 2018 by Xilinx
SoCs with programmable logic are an essential element of real-time embedded vision systems. Designers can capitalize on the power and efficiency of Xilinx's Zynq Ultrascale+ MPSoC devices to implement their designs using Avnet's Embedded Vision Kits and the Xilinx reVISION stack.
May 18, 2018 by Xilinx
In this multipart industrial IoT series, we will break down and explore the fundamental aspects of the edge node interpretation within the larger IoT framework: sensing, measuring, interpreting, and connecting data, with additional consideration for power management and security.
September 26, 2017 by Ian Beavers, Analog Devices