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System Challenges of Generative AI Inference Acceleration

When you look under the hood of generative AI processing, the system design challenges are many. Learn how efficiency, power consumption, and memory issues all come into play.

3 days ago by Lauro Rizzatti, VSORA

Understanding the Compute Hardware Behind Generative AI

Generative AI tools like ChatGPT have had a huge impact in numerous sectors of society. As engineers, it’s helpful for us to understand the computing technology that makes it possible.

August 10, 2023 by Steven Woo, Rambus

Considerations for Choosing Edge ML Application Hardware

As edge machine learning (ML) applications keep growing, EEs need to understand ML at the edge, especially concerning processing and processing hardware.

September 01, 2022 by Ali Osman Ors, NXP Semiconductors

PoE Standards for IoT Devices and Power Sourcing Equipment

In this Industry Article, we'll discuss PoE (Power over Ethernet) standards and power sourcing equipment (PSE), using office Internet of Things (IoT) devices as an example application.

November 16, 2021 by Rich Fry, TDK Corporation of America

Increasing the Accessibility of Machine Learning at the Edge

"Edge intelligence" is becoming more accessible—even to those designers without formal data science training—as new hardware becomes available.

April 01, 2021 by Ali Osman Ors, NXP Semiconductors

Minimizing Stepper Motor Noise and Vibration in Precision Motion Control Applications

Stepper motors work well in a wide range of applications but can struggle with torque ripple and current distortion issues. Learn about QuietStep, a proprietary algorithm from Allegro MicroSystems, as a possible solution. 

February 02, 2021 by Dan Jacques, Allegro MicroSystems

Choosing the Right Redriver or Retimer Device to Extend PCIe Protocol Signal Range

Redriver or retimer devices can extend the Peripheral Component Interface Express (PCIe®) protocol signal range. This article discusses how to select the best one for compute system and NVMe™ storage applications today and into the future.  

January 12, 2021 by Tam Do, Microchip

Computing Fast Fourier Transforms on the LPC55S69 MCU

This article investigates the Transform Engine, another part of the PowerQuad, which enables the LPC55S69 MCU to compute a Fast Fourier Transform (FFT).

December 17, 2020 by Eli Hughes, NXP Semiconductors

Efficient Orthogonal Variable Optimization Algorithm for Communication Systems

This article discusses an algorithm to find the optimum adjusted point in a two-dimensional space with orthogonal input vectors. The algorithm solves equations for intersecting circles based on measured data points.

December 15, 2020 by Russell Hoppenstein, Texas Instruments

Adding an ISP and Machine Learning Acceleration to the i.MX 8M Family

Learn how the i.MX 8M Plus applications processor enables edge computing, speeding up machine learning for a variety of applications including industrial tasks.

November 10, 2020 by Ben Eckermann, NXP Semiconductors

How to Manage and Store Project Data with Fusion 360

In this article, learn how Fusion 360 allows multiple teams, decision-makers, and stakeholders to view and work on projects while safeguarding sensitive data.

October 29, 2020 by Sam Sattel, Autodesk

Machine Learning and Intelligent Vision for the Industrial Edge

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

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

Protecting IoT Embedded Designs with Security ICs

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

Overcoming the Challenges of Traditional MCAD and ECAD

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

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

How to Leverage the Arm TrustZone Security Features of the LPC5500

Learn how the Arm TrustZone extension for the LPC5500 series works and how to start utilizing the safety measures in custom secure and non-secure applications.

June 25, 2020 by Mark Dunnett, on Behalf of NXP

The Importance of Reliability Verification in AI/ML Processors

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

The Journey of RISC-V Implementation

In this article, Western Digital's Ted Marena explores the reasons companies have and the process they go through when integrating the open process instruction set architecture RISC-V.

September 10, 2019 by Ted Marena, Western Digital

Open Memory-Centric Architectures Enabled by RISC-V and OmniXtend

This article discusses technologies for memory-centric computing and introduces OmniXtend, a cache coherence protocol.

July 09, 2019 by Ted Marena, Western Digital