Latest AI/Neural Networks Industry Articles

Designing smart home devices involves numerous challenges. In this article, learn the important limitations of today’s…

Designing smart home devices involves numerous challenges. In this article, learn the important limitations of today’s smart home technologies and how sensor fusion helps smooth the way.

As edge machine learning (ML) applications keep growing, EEs need to understand ML at the edge, especially concerning…

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

"Edge intelligence" is becoming more accessible—even to those designers without formal data science training—as new…

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

Leveraging board-level cameras offer a variety of benefits. To help identify the right mix of features and design…

Leveraging board-level cameras offer a variety of benefits. To help identify the right mix of features and design elements, here are some factors to consider when selecting and designing in an embedded machine vision camera.

Stepper motors work well in a wide range of applications but can struggle with torque ripple and current distortion…

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. 

This article discusses an algorithm to find the optimum adjusted point in a two-dimensional space with orthogonal input…

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.

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

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

This article looks at digit detection and recognition using MNIST eIQ as an example, which consists of several parts —…

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.

This article discusses trusted execution environments — already used in a variety of connected devices — by showing…

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.

With the adoption of artificial intelligence and machine learning in a wide variety of applications, reliability…

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.

This article describes a methodology that automates set up, constraints, and results analysis as designs move from static…

This article describes a methodology that automates set up, constraints, and results analysis as designs move from static CDC analysis to formal verification to simulation and avoid manual scripting efforts, thus reducing setup effort and errors.

This article discusses the issues surrounding trace-width calculation and provides a solid foundation for designing your…

This article discusses the issues surrounding trace-width calculation and provides a solid foundation for designing your next high-current net.

This article introduces and explores advanced ERC, highlighting its differences from traditional ERC and discussing how…

This article introduces and explores advanced ERC, highlighting its differences from traditional ERC and discussing how it can help create better circuit designs.

Part 3 of this series shows examples of the CKB-VM, a RISC-V instruction set based VM, in action in three different ways.

Part 3 of this series shows examples of the CKB-VM, a RISC-V instruction set based VM, in action in three different ways.

Historically, FPGAs have been challenging to work with. To combat that reputation, Xilinx developed programmable devices…

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.

SoCs with programmable logic are an essential element of real-time embedded vision systems. Designers can capitalize on…

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.

How is Stanford making use of high-speed memory in their latest research initiative?

How is Stanford making use of high-speed memory in their latest research initiative?

Connected industrial machines can sense a wide array of information used to make key decisions within the Industrial…

Connected industrial machines can sense a wide array of information used to make key decisions within the Industrial Internet of Things (IIoT). A sensor within an edge node can be spatially far removed from any data aggregation point. It must connect through a gateway that links edge data with a network.

In this multipart industrial IoT series, we will break down and explore the fundamental aspects of the edge node…

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.