Tag Archives | Deep Neural Network

CDNN: Generating an Embedded Neural Network at The Push of a Button

In two of my previous posts, I discussed deep learning frameworks, features and challenges and the specific challenges of deep learning in embedded systems. In this post, I would like to introduce the toolkit that deals with these challenges and serves as an extremely powerful and effective way to streamline development of deep learning on […]

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Learning How to Learn: Toddlers Versus Neural Networks

It’s undeniable that machine learning has made enormous progress over the past few years: from amazing artificial intelligence accomplishments like defeating a top ranking player at the ancient and complex game of Go to simple everyday uses like auto-tagging personal photo collections. At the core of the most advanced algorithms used to achieve these feats […]

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Deep Learning Frameworks, Features, and Challenges

Deep Learning on Embedded Systems As Artificial Intelligence (AI) expands into almost every aspect of our life, one of the major challenges is to bring this intelligence into small, low-power devices. This requires embedded platforms that can process extremely deep Neural Networks (NN) with high performance and very low power consumption. However, this is still […]

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Come and meet the CEVA team at Linley Processor Conference 2016

              As Artificial Intelligence continues its relentless evolution, one of the major challenges facing the technology is how to successfully integrate it into the small, low power devices we use in our everyday lives. The extremely-deep neural networks underlying AI require high-performance, yet power-efficient embedded platforms to handle the […]

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It’s Time to Have a Talk: Conversational Assistants Are Here

Voice-activated virtual assistants have been spreading like wildfire. Apple’s Siri, Amazon’s Alexa, Google Home, Microsoft’s Cortana, and many others are competing to lend us a helping hand. Let’s take a look at what’s fueling this fire, what challenges stand in its way, and what concerns it brings to light. Evolving from speech recognition to speech […]

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On Demand Webinar: Deep Learning on Embedded Systems

As Artificial Intelligence (AI) marches into almost every aspects of our lives, one of the major challenges is bringing this intelligence to small, low-power devices. This requires embedded platforms that can deliver extremely-high Neural Network performance with very low power consumption. However, that’s still not enough. Machine Learning developers need a quick and automated way […]

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Open Source Deep Learning Frameworks: Now on Embedded Platforms

The latest Google I/O conference highlighted the fact that artificial intelligence (AI) is one of Google’s main focuses. And not just in reference to research-oriented, futuristic projects, like delivery drones. Google has made it quite clear that AI is coming into consumer homes and handheld devices now, in 2016, as my colleague expressed in this […]

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Accelerating Machine Learning Deployment with CEVA Deep Neural Network (CDNN)

­­ Today is an important milestone for CEVA’s Imaging & Vision product line as we are announcing a unique software framework for Deep Learning called CDNN (which stands for CEVA Deep Neural Network). The main idea behind this software framework is to enable easy migration of pre-trained Deep Learning networks into real-time embedded devices and […]

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