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More on Noise-Canceling Headphones: Adaptive Controllers in Active Noise Control Systems

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

Understanding Active Noise Control Systems—the Tech Underlying Noise-Canceling Headphones

With more people working from home, noise-canceling headphones are ever-more prevalent. What circuitry underlies this popular technology?

November 05, 2020 by Steve Arar

Hailo Goes Head to Head With Intel and Google on AI Acceleration Modules

Hailo, an Israel-based startup, has benchmarked its AI acceleration modules against its Intel and Google counterparts. What's the verdict?

October 09, 2020 by Antonio Anzaldua Jr.

Maxim Hopes Low-Power NN Accelerator Chip for Edge Devices Will Lead an “Embedded Revolution”

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

How to Implement Digit Recognition with TensorFlow Lite using an i.MX RT1060 Crossover MCU

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

IBM Unveils Its First 7nm Processor, Complete With “Memory Inception”

This week, IBM announced its new POWER10 processor, the 7nm successor to POWER9.

August 18, 2020 by Jake Hertz

An Example of Securing In-Cabin AI using TEE on a Secure FPGA SoC

This article discusses trusted execution environments — already used in a variety of connected devices — by showing how using TEE and an FPGA SoC can work in vehicle in-cabin AI.

July 28, 2020 by Katherine Hsu, Hex-Five Security

FPGA Roundup: New Contenders Hone in on Memory, Size, Power, and Even AI

Three newly-released FPGAs can tell us a lot about the direction of these devices in the industry.

July 02, 2020 by Steve Arar

Intel’s AI Portfolio Shows How Designs Must Gear Up for Real-Time Processing

With processing demands on data centers higher than ever before, designers should be aware of how hardware- (and software-) based AI may have increasing prominence in their designs.

June 22, 2020 by Adrian Gibbons

Researchers Enhance Natural Movement in Robotics Using AI

Those using robotic prosthetics could soon move more naturally following the development and integration of AI-backed technologies by U.S. researchers.

June 04, 2020 by Luke James

COVID-19 Puts Spotlight on Open-Source RISC-V Cores, IP

Remote work during this pandemic has shed light anew on the virtues of RISC-V, which has just gotten more accessible.

May 20, 2020 by Antonio Anzaldua Jr.

MATLAB and Simulink Get a Major Deep Learning Facelift

MathWorks has revamped MATLAB and Simulink with a host of deep learning development tools—and they say these updates will be a major boon for automotive and wireless designers.

May 09, 2020 by Robin Mitchell

Printed Circuit Boards Receive an AI Boost Through Fraunhofer’s Modular Platform

The AI platform from the Fraunhofer Institute for Applied Information Technology (FIT) is comprised of modules for artificial intelligence, machine learning, and deep learning.

May 06, 2020 by Luke James

How to Build a Variational Autoencoder with TensorFlow

Learn the key parts of an autoencoder, how a variational autoencoder improves on it, and how to build and train a variational autoencoder using TensorFlow.

April 06, 2020 by Henry Ansah Fordjour

Google Proposes AI as Solution for Speedier AI Chip Design

One of the trickiest aspects of chip design is figuring out how to pack more circuitry into a smaller footprint while maintaining power, speed, and energy efficiency.

April 06, 2020 by Luke James

FPGAs Are More Accessible to Non-FPGA Specialists Than Ever Before

FPGAs pose a major drawback: they require the expertise of highly specialized (and scarce) engineers trained to work with FPGAs. Three companies have set out to change that.

March 26, 2020 by Gary Elinoff

AI Devices Are Helping Us Stay One Step Ahead of COVID-19

A number of companies are pumping out new edge AI technology—none of which explicitly state pandemic prediction or healthcare assistance as a use case. But with the overwhelming number of COVID-19 cases, might this new technology be used to that end?

March 25, 2020 by Gary Elinoff

Osaka University Develops an FPGA Computing Device for Maximal Optimization of AI Tasks

Osaka University researchers have built a new device that can be customized by the user for maximum efficiency in AI applications.

March 13, 2020 by Luke James

Arm Adds Machine Learning and Neural Processing IP to Its AI Platform

Arm’s Cortex-M55 and its Ethos-U55 NPU are designed to deliver a combined 480 x leap in machine learning performance.

February 11, 2020 by Gary Elinoff

Understanding Local Minima in Neural-Network Training

This article discusses a complication that can prevent your Perceptron from achieving adequate classification accuracy.

February 06, 2020 by Robert Keim