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Understanding the Compute Hardware Behind Generative AI

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.


Considerations for Choosing Edge ML Application Hardware

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.


PoE Standards for IoT Devices and Power Sourcing Equipment

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.


Increasing the Accessibility of Machine Learning at the Edge

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.


Minimizing Stepper Motor Noise and Vibration in Precision Motion Control Applications

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. 


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

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.  


Computing Fast Fourier Transforms on the LPC55S69 MCU

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).


Efficient Orthogonal Variable Optimization Algorithm for Communication Systems

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.


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

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.


How to Manage and Store Project Data with Fusion 360

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.


Machine Learning and Intelligent Vision for the Industrial Edge

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.


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

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.


Protecting IoT Embedded Designs with Security ICs

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. 


Overcoming the Challenges of Traditional  MCAD and ECAD

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.


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

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.


How to Leverage the Arm TrustZone Security Features of the LPC5500

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.


The Importance of Reliability Verification in AI/ML Processors

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.


The Journey of RISC-V Implementation

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.


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

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.


Introduction to the RISC-V Instruction Set CKB-VM and its Requirements

Introduction to the RISC-V Instruction Set CKB-VM and its Requirements

The Nervos CKB-Virtual Machine (CKB-VM) is a RISC-V instruction set based VM for executing smart contracts on Nervos CKB, written in Rust.