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.
Category: Artificial Intelligence (AI)
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.
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”.
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’,
“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
Introducing PowerVR Series3NX Things move fast in the world of semiconductor IP and our award-winning PowerVR Series2NX neural network accelerator, (or NNA, as we like
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
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
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
Recently, we ran a webinar entitled, “Enabling efficient implementation of neural networks in smart cameras”. If you missed it, it’s worth checking out, as we
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