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…
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?
As artificial intelligence seemingly worms its way into applications across all industries, from consumer electronics to…
As artificial intelligence seemingly worms its way into applications across all industries, from consumer electronics to healthcare, governments around the world are starting to invest more in an area where AI could be a gamechanger: military hardware and technology.
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.
Researchers at Intel and Cornell University are bringing the "science of smell" down to the silicon level.
Researchers at Intel and Cornell University are bringing the "science of smell" down to the silicon level.
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.
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.
Eta Compute made headlines in 2018 with its neural networks that train themselves, and now the company has come to market…
Eta Compute made headlines in 2018 with its neural networks that train themselves, and now the company has come to market with its AI chips that aim to provide AI to “edge” devices such as IoT sensors, battery-powered cameras, and more.
In this article, we will look at a retina-inspired photonic synapse that may further develop sensory AI systems.
In this article, we will look at a retina-inspired photonic synapse that may further develop sensory AI systems.
But will it be enough to catch up and compete with China?
But will it be enough to catch up and compete with China?
Before they hit the market, products must be rigorously checked against a long list of criteria.
Before they hit the market, products must be rigorously checked against a long list of criteria.
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.
With the rapid shift towards the use of cyber-physical systems in industries (aka Industry 4.0), digital technologies now…
With the rapid shift towards the use of cyber-physical systems in industries (aka Industry 4.0), digital technologies now play crucial roles in several applications.
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.
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.
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