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Zuken Announces New High-speed Configuration for Its Online PCB Design Platform

Zuken Announces New High-speed Configuration for Its Online PCB Design Platform

Zuken’s eCADSTAR now includes design constraint management for length-, delay-, and skew-based routing.


News Dec 28, 2019 by Gary Elinoff
Understanding Training Formulas and Backpropagation for Multilayer Perceptrons

Understanding Training Formulas and Backpropagation for Multilayer Perceptrons

This article presents the equations that we use when performing weight-update computations, and we’ll also discuss the concept of backpropagation.


TE Connectivity Sliver Connectors | New Product Brief

TE Connectivity Sliver Connectors | New Product Brief

This New Product Brief (NPB) is part of a video series highlighting the features, applications, and technical specs of newly-released products.


PRO DESIGN Extends Family of FPGA-based Prototyping Modules

PRO DESIGN Extends Family of FPGA-based Prototyping Modules

The XCVU13P module incorporates 52 multi-gigabit transceivers for stable performance up to 32.75Gbps.


News Dec 26, 2019 by Gary Elinoff
How to Train a Multilayer Perceptron Neural Network

How to Train a Multilayer Perceptron Neural Network

We can greatly enhance the performance of a Perceptron by adding a layer of hidden nodes, but those hidden nodes also make training a bit more complicated.


The Sigmoid Activation Function: Activation in Multilayer Perceptron Neural Networks

The Sigmoid Activation Function: Activation in Multilayer Perceptron Neural Networks

In this article, we’ll see why we need a new activation function for a neural network that is trained via gradient descent.


Advanced Machine Learning with the Multilayer Perceptron

Advanced Machine Learning with the Multilayer Perceptron

This article explains why high-performance neural networks need an extra “hidden” layer of computational nodes.


In a 2 Billion Dollar Deal, Intel Acquires AI Chipmaker Habana Labs

In a 2 Billion Dollar Deal, Intel Acquires AI Chipmaker Habana Labs

In a bid to galvanize its own AI future, Intel has acquired advanced AI training and inference silicon technology.


News Dec 21, 2019 by Tyler Charboneau
Understanding Learning Rate in Neural Networks

Understanding Learning Rate in Neural Networks

This article discusses learning rate, which plays an important role in neural-network training.


3M 100G Direct Attach Copper Cable Assemblies | New Product Brief

3M 100G Direct Attach Copper Cable Assemblies | New Product Brief

This New Product Brief (NPB) is part of a video series highlighting the features, applications, and technical specs of newly-released products.


How to Calibrate a Microcontroller Internal Oscillator: A DIY Trimming Procedure Algorithm

How to Calibrate a Microcontroller Internal Oscillator: A DIY Trimming Procedure Algorithm

This article presents an algorithm intended for humans to calibrate the internal oscillator of an MCU, with the help of an oscilloscope and a spreadsheet. An example experiment with numbers is also shown.


Intel Creates First Cryogenic Control Chip for Quantum Computing

Intel Creates First Cryogenic Control Chip for Quantum Computing

Intel’s Horse Ridge chip is expected to speed up the development of commercially viable quantum computers and burn a path to scaling larger systems.


News Dec 12, 2019 by Cabe Atwell
Microchip Announces First RISC-V-based SoC FPGA to Use Half the Power of Other FPGAs

Microchip Announces First RISC-V-based SoC FPGA to Use Half the Power of Other FPGAs

Microchip's new RISC-V-based PolarFire SoC family is said to provide 50% lower power than competing mid-range FPGAs.


News Dec 10, 2019 by Lisa Boneta.
OKdo Brings AI to Makers and Embedded Designers Alike With New Developer Kit

OKdo Brings AI to Makers and Embedded Designers Alike With New Developer Kit

The new kit offers out-of-the-box support for full desktop Linux and is compatible with many peripherals that support 4K, including Ethernet, USB, and HDMI.


News Dec 06, 2019 by Lisa Boneta.
An Introduction to Training Theory for Neural Networks

An Introduction to Training Theory for Neural Networks

In this article, we’ll explore Perceptron training from a more theoretical perspective, focusing on the “error bowl.”


AI Hardware Built from a Software-first Perspective: Groq’s Flexible Silicon Architecture

AI Hardware Built from a Software-first Perspective: Groq’s Flexible Silicon Architecture

Groq, a semiconductor startup with software roots, has developed a new processing unit with a unique architecture that offers inference solutions for AI acceleration.


News Dec 03, 2019 by Majeed Ahmad
BeagleBoard BeagleBone AI | Featured Product Spotlight

BeagleBoard BeagleBone AI | Featured Product Spotlight

This Featured Product Spotlight is part of a video series exploring the specifications, applications, and market context of new products.


Understanding Simple Neural Network Training

Understanding Simple Neural Network Training

In this article, we’ll review some important aspects of neural-net training, and then we’ll discuss the concept of overtraining.


How to Train a Basic Perceptron Neural Network

How to Train a Basic Perceptron Neural Network

This article presents Python code that allows you to automatically generate weights for a simple neural network.


Wind River Systems’ Open-source Cloud Platform Designed to Support 5G vRAN at the Edge

Wind River Systems’ Open-source Cloud Platform Designed to Support 5G vRAN at the Edge

The platform supports 5G applications at the edge through a Single Pane of Glass—the automated management of thousands of nodes.


News Nov 19, 2019 by Robin Mitchell