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Tag: NNA

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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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Imagination China sees 2020 out in award-winning style with IMG Series 4 NNA

Earlier this month Imagination Technologies picked up two awards for its recently launch IMG Series 4 neural network accelerator (NNA). Our NNA is no stranger to awards, with the design team behind the Series2 NX and the NNA itself picking up gongs for its groundbreaking performance. The Series 4 takes things to new levels, with its scalable architecture offering 500 TOPS of performance, and even beyond.

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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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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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Imagination hosts AI seminars in China

China has been widely tipped to take the lead in artificial technology so when Imagination travelled to Shenzhen, Shanghai and Beijing in June this year

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Companion chips: The intelligent choice for AI?

For many years, the semiconductor industry has strived towards tightly integrating more and more components into a single system-on-chip (SoC). After all, it is an

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