Meeting the technical challenges of far-field voice control
Opening the door to a natural human-machine interaction with far-field voice.
Blog
Putting programmability at the heart of xcore.ai
The first in a series of blogs that address themes from The Linley Group’s report on xcore.ai.
Easy-to-use machine learning with xcore.ai
Insight into our easy-to-use machine learning model deployment tools for xcore.ai.
Peeling the onion on “power”
The battle with battery life is a familiar one. When people ask about power, they’re often thinking about energy consumption.
Low-cost neural network inferencing on the edge with xcore.ai
An overview of our tinyML Talks webcast, demonstrating our software tools for xcore.ai.
Binarised networks — the networks that will underpin future edge applications
Binarised networks — the networks that will underpin future edge applications Neural networks have been used for many years to recognise patterns and classify data. Today, organisations use them to sift through large amounts of sales data, customer data, risk data and much more for the purposes of forecasting and informing business decision making. They …
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How xcore.ai puts power at the edge without blowing a budget
The cloud is a wonderful thing. It’s connected us, powered us and transformed us in ways that we never could’ve dreamed over the past two decades. There is barely a single aspect of our lives — be it personal or business — that hasn’t changed under the influence of the cloud. But as we explained …
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The AIoT: what our research with electronics engineers tells us about the next technology revolution
The artificial intelligence of things — the “AIoT” — is likely to be the one of the biggest technological advances in humankind since the advent of the internet. What will become a $3 trillion market by 2025, according to Gartner, will underpin almost everything we do in life, whether it’s controlling our homes, powering our …
Making the AIoT a reality – part 2
In part one of this blog series we outlined the huge potential for the AIoT to reshape the world around us. But as highlighted, making this vision a reality requires an entirely new approach to delivering on-device AI capabilities. The high-end CPUs/GPUs traditionally used by AI systems are prohibitively expensive – both from a cost …
Making the AIoT a reality – part 1
The artificial intelligence of things (AIoT) represents the convergence of two of today’s most significant technology trends. The internet of things (IoT) connects “dumb” devices to the internet, with an ever-growing 10 billion devices surrounding our everyday lives. These devices are already generating huge volumes of data from the world around us – providing access to valuable …