Medical tracking for the modern age
Fascinating work from the team at UMass Amherst, to develop a device that analyses coughing and crowd size.
Medical tracking for the modern age Read More »
Fascinating work from the team at UMass Amherst, to develop a device that analyses coughing and crowd size.
Medical tracking for the modern age Read More »
The artificial intelligence of things (AIoT) represents one of the most exciting and important technology pairings in the world today. It is anticipated to explode into life in 2025 and with the current Covid-19 pandemic, we anticipate that this will accelerate further still. But with this revolution comes a range of challenges. No matter how
Embedding a secure solution for the AIoT big bang Read More »
CEO, Mark Lippett discusses this challenge in a recent article for Electronics World.
How do we fix the cost versus processing trade off? Read More »
XMOS introduces firmware variants for USB accessory devices and built-in solutions, both containing purpose-designed algorithms for sophisticated voice processing Bristol UK, 27th July 2020 — XMOS today announces new firmware variants, supporting USB and built-in applications of its XVF3510 voice processor. Designed to address the rapidly evolving demands of the far-field voice market, the XVF3510 opens
XMOS announces new firmware release for its XVF3510 voice processor Read More »
At the start of June, XMOS took part in the VOICE Global event – a 24 hour, worldwide livestream, delivered by the team behind VOICE Summit. As part of the event, XMOS CEO, Mark Lippett delivered a session entitled ‘Voice vs touch: the shifting tide of interaction,’ which we’re delighted to share below.
XMOS at VOICE Global 2020 Read More »
Opening the door to a natural human-machine interaction with far-field voice.
Meeting the technical challenges of far-field voice control Read More »
The first in a series of blogs that address themes from The Linley Group’s report on xcore.ai.
Putting programmability at the heart of xcore.ai Read More »
Watch our presentation from the tinyML Talks Webcast series.
Low-cost neural network inferencing on the edge with xcore.ai Read More »
Cost, power consumption and data security make up many of the reasons electronics engineers are struggling to embed true artificial intelligence within devices, research by XMOS finds Bristol UK, 2nd June 2020 — Electronics engineers are still struggling to embed true artificial intelligence within devices themselves, instead relying on the cloud, which limits the potential
AI on the edge of revolution, but we’re still struggling, say electronics engineers Read More »
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
Binarised networks — the networks that will underpin future edge applications Read More »