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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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Electronics engineers struggling to balance device performance with cost, research finds

The need to increase the performance capabilities of devices is becoming ever-more apparent, but electronics engineers are struggling to keep costs down Bristol UK, 18th May 2020 — Electronics engineers are struggling to increase the processing capabilities of electronic devices without costs spiralling out of control, new research from XMOS finds. More than half of electronics engineers …

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New research identifies data security as the $3 trillion AIoT market’s biggest challenge

Data security tops scalability, cloud infrastructure, latency and bandwidth as barriers to explosive growth in the artificial intelligence of things (AIoT) market but technological advances in edge processing are clearing the way Bristol UK, 30th April 2020 — Data security is the biggest challenge to the $3 trillion artificial intelligence of things (AIoT) market, according to new research from …

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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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An IoTa of Ambition

Does fragmentation in the IoT market offer risk or reward? CEO, Mark Lippett discusses in this opinion piece from EE Times Europe.

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