Carnegie Mellon University researchers have developed a new technique for generating more data, which could be used to train autonomous vehicles tracking systems…
Carnegie Mellon University researchers have developed a new technique for generating more data, which could be used to train autonomous vehicles tracking systems more efficiently.
Intel and AMD have historically been the leaders of data-intensive processors. But now, Ampere's Altra Max 128-core…
Intel and AMD have historically been the leaders of data-intensive processors. But now, Ampere's Altra Max 128-core processor may beat out the two in managing data center workloads.
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.
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.
Three dominant megacorporations are empowering edge devices by creating accurate, secure, and low powered chips with…
Three dominant megacorporations are empowering edge devices by creating accurate, secure, and low powered chips with capabilities of giant data centers at your fingertips.
For select silicon startups, Arm has swung open the doors on its IP portfolio.
For select silicon startups, Arm has swung open the doors on its IP portfolio.
The powerful combination augments NVIDIA's computing expertise with Mellanox’s networking know-how.
The powerful combination augments NVIDIA's computing expertise with Mellanox’s networking know-how.
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.
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?
Researchers at TU Wien are at last addressing the need for instantaneous image recognition.
Researchers at TU Wien are at last addressing the need for instantaneous image recognition.
XMOS, a company that made headlines for developing the highest performing voice interface for under a dollar, unveils…
XMOS, a company that made headlines for developing the highest performing voice interface for under a dollar, unveils xcore.ai – the fast, flexible, and economical processor designed specifically for the AIoT market.
Cartesiam's NanoEdge AI Studio simplifies the task of integrating machine learning directly into everyday edge devices…
Cartesiam's NanoEdge AI Studio simplifies the task of integrating machine learning directly into everyday edge devices that are based on Arm Cortex-M MCUs.
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.
Following the success of the inaugural tinyML Summit 2019, the show is returning this year for its second run on February…
Following the success of the inaugural tinyML Summit 2019, the show is returning this year for its second run on February 12-13 in San Jose, California.
The embedded world Conference is the world’s leading meeting place for the embedded community, and it is returning…
The embedded world Conference is the world’s leading meeting place for the embedded community, and it is returning again for its 18th year.
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.