Active noise control is a principle technology in noise-canceling headphones. But there's a nuanced part of the ANC conversation that warrants discussion: adaptive controllers and cancelation paths.
November 17, 2020 by Steve Arar
Designing memory architectures for AI/ML devices may feel like an impassable compromise with storage volume, speed, and processing. A new in-memory computing accelerator may be a useful solution.
November 03, 2020 by Jake Hertz
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 morning, Maxim Integrated released its newest product, a low-power NN accelerator chip, with the hopes of bringing AI to the edge. We interviewed Kris Ardis, executive director of Micros, Security, and Software Business Unit at Maxim Integrated, to get the details.
October 07, 2020 by Jake Hertz
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
Glow, the open-source neural network compiler, stirred conversation during the Q&A portion of NXP's Industry Tech Days presentation. Why is this compiler so important for pushing intelligence to the edge?
September 04, 2020 by Hannah DeTavis
Learn how the machine learning framework, Glow, a neural network (NN) model compiler, is integrated into the MCUXpresso SDK, which packages the Glow compiler and quantization tools into an easy-to-use installer, detailed documentation, and labs.
In partnership with NXP Semiconductors