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.
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Blog
Binarised networks — the networks that will underpin future edge applications
They are an extremely valuable tool, and it’s now hard to imagine living in a technologically driven world without them. But while neural networks are extremely effective at performing the task for which they were made, they have two major issues that have so far limited their potential for the newest edge applications that are
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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
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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
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(Semi)Conducting a way through the AIoT
The IoT describes connected “things” – a diverse range of “things” that have an internet connection and can be controlled and/or interrogated from anywhere on the web. They can be anything from toys to industrial robots, from cars to rice cookers. Going forward, the application of machine learning to the data inputs from connected devices takes
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Energy consumption is a hot topic in the world of voice-enabled AIoT devices. With good reason.
Voice shows the fastest adoption of any consumer technology ever[1]. At the current rate of growth, there’ll be a further 1.5 billion new voice-enabled devices in our homes in 2025, with an estimated 5 billion units in use worldwide. Imagine all these devices powered up and hanging on to our every keyword. At a very
Demonstrating the XVF3510
In this video, Director of Software, Chris Clarke walks through a demonstration of our latest far-field voice processor, the XVF3510 – a two-mic voice interface solution with purpose-designed, next-generation algorithms for smart-home and challenging acoustic environments.
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The power of voice: A new era for TV enthusiasts everywhere
Today we launched the next generation of voice technology that’s designed to drive the voice-enabled TV market forward and transform how we search and discover content. Futuresource Consulting forecasts that nearly 700 million new smart speaker, smart TV, set-top box and smart home devices will ship in 2019, and voice assistants will be built into
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