Latest Deep Learning Articles and Videos

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

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

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.

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

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

With processing demands on data centers higher than ever before, designers should be aware of how hardware- (and…

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.

Those using robotic prosthetics could soon move more naturally following the development and integration of AI-backed…

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

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

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

MathWorks has revamped MATLAB and Simulink with a host of deep learning development tools—and they say these updates…

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.

The AI platform from the Fraunhofer Institute for Applied Information Technology (FIT) is comprised of modules for…

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

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

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.

One of the trickiest aspects of chip design is figuring out how to pack more circuitry into a smaller footprint while…

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.

FPGAs pose a major drawback: they require the expertise of highly specialized (and scarce) engineers trained to work…

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.

A number of companies are pumping out new edge AI technology—none of which explicitly state pandemic prediction or…

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?

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

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

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

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

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

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

This article shows you how to add bias values to a multilayer Perceptron implemented in a high-level programming language…

This article shows you how to add bias values to a multilayer Perceptron implemented in a high-level programming language such as Python.

In this article, we’ll perform some classification experiments and gather data on the relationship between hidden-layer…

In this article, we’ll perform some classification experiments and gather data on the relationship between hidden-layer dimensionality and network performance.

This article provides guidelines for configuring the hidden portion of a multilayer Perceptron.

This article provides guidelines for configuring the hidden portion of a multilayer Perceptron.

In this article, we’ll use Excel-generated samples to train a multilayer Perceptron, and then we’ll see how the…

In this article, we’ll use Excel-generated samples to train a multilayer Perceptron, and then we’ll see how the network performs with validation samples.