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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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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 …

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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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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 …

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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.

Embedding voice – DSP chip or DSP algorithms on the Applications Processor?

Why smart developers choose a DSP chip rather than run DSP algorithms on the Applications Processor … In our increasingly connected, intelligent world, voice-control opens the door for a more natural, engaging conversation with technology. Reliable, accurate voice capture relies on advanced digital signal processing (DSP) algorithms and good acoustic design to ‘hear’ the wake-word and …

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