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Category: Artificial Intelligence (AI)

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Artificial Intelligence (AI)

Imagination’s neural network accelerator and Visidon’s denoising algorithm prove to be perfect partners

This blog post is a result of a collaboration between Visidon, headquartered in Finland and Imagination, based in the UK. Visidon is recognised as an expert in algorithms for camera image enhancement and analysis and Imagination has a series of world-beating neural network accelerators (NNA) with performance up to 100 TOPS per second per core. The problem tackled in this blog post is denoising images from conventional colour cameras. The solution is in two parts: 1. Algorithms that remove the noise without damaging image detail. 2. A high-performance convolution engine capable of running a trained neural network that takes a colour image as input and outputs a denoised colour image.

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Artificial Intelligence (AI)

Reduced Operation Set Computing (ROSC) for Flexible, Future-Proof, High-Performance Inference

Designers of neural network accelerator (NNA) IP have a Herculean task on their hands: making sure that their product is sufficiently general to apply to a very wide range of current and future applications, whilst guaranteeing high performance. In the mobile, automotive, data centre and embedded spaces targeted by Imagination’s cutting-edge IMG Series4 NNAs, there even more stringent constraints on bandwidth, area and power consumption. The engineers at Imagination have found innovative ways to address these daunting challenges and deliver ultra-high-performance and future-proof IP.

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Artificial Intelligence (AI)

Running LSTM neural networks on an Imagination NNA

Speech recognition has become more relevant in recent years: it enables computers to translate spoken language into text. It can be found in different types of applications, such as translators or closed captioning. An example of this technology is Mozilla’s DeepSpeech, an open-source speech-to-text engine, which uses a model trained by machine learning techniques based on Baidu’s Deep Speech research paper. We are going to provide an overview of how we are running version 0.5.1 of this model, by accelerating a static LSTM network on the Imagination neural network accelerator (NNA), with the goal of creating a prototype of a voice assistant for an automotive use case.

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Artificial Intelligence (AI)

Making Kynisys: how we’re building the future of AI

Kynisys is a new AI marketplace for edge compute that offered toolsets and all the building blocks that an edge AI system integrator needs. It’s an easy-to-use platform to create, test and deploy edge AI in less than a day; putting the power in the hands of those who have to solve “edge problems”.

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Artificial Intelligence (AI)

AIoT. Why it’s not just another tech buzzword.

When it comes to technology there is usually hype. How many times has ‘the next big thing’ turned out to be the ‘next big fail’,

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Artificial Intelligence (AI)

How AI is conducting the future of music technology

“We tend to think of technological advances as destroying what’s gone before, but that doesn’t usually happen. This could lead to a different way of

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Artificial Intelligence (AI)

AI in the UK: Year in Review

As a company focused heavily on enabling AI processing, it’s important to us that the country where we live is supporting efforts around AI technology

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Artificial Intelligence (AI)

Opinion: the balance between edge and cloud.

Simon Forrest explains how embedded chips can meet the challenge of delivering true local AI processing. GPUs and NNAs are rapidly becoming essential elements for

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