Author Archive | Liran Bar

Embedded Intelligent Vision is Not Just a Nice-to-have – It’s a Necessity

Demand for computer vision has never been stronger. Propelled by advances in deep learning, a staggering number of devices and applications utilizing vision and artificial intelligence (AI) have hit the market. While employing vision and deep learning in embedded systems poses a challenge, it is becoming a requirement. Here is a look at the variety […]

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On Demand Webinar: Challenges of Vision Based Autonomous Driving & Facilitation of An Embedded Neural Network Platform

The automotive market is seeing accelerated growth and rapid adoption of vision applications that will lead the way to autonomous vehicles. With the complexity of these systems, Tier-1 suppliers, OEMs, and the entire automotive industry are utilizing artificial intelligence and deep learning algorithms to identify objects, determine free space for vehicles and plan the vehicle […]

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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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The New CEVA-XM6 Powered Vision Platform Is Here; Prepare to See Things Differently

It’s no secret that CEVA has been pushing the envelope for over a decade to make intelligent machine vision a viable possibility in mass market embedded devices. With four generation of successful, widely adopted DSP cores behind us, including the award-winning CEVA-XM4, we have established our position as the industry leader in low-power, high-performance programmable […]

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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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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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