Tag Archives | CEVA-XM4

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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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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The Future of Smartphone Photography: Dual Cameras Meet Machine Learning

Immediately following the announcement of the iPhone 7 Plus, Apple’s first dual camera phone, commentators (like this post from wired and this post from eetimes) declared that dual cameras are the new norm for smartphone photography. That’s how much sway Apple has. As I speculated in my August 2015 post, this feature was anticipated since […]

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Deep Learning and Low Power Vision Processing are the key to Autonomous Driving – Thoughts from the IS-Auto 2016 Conference

As we enter into the realm of fully autonomous vehicles over the next decade, automotive Tier-1s and OEMs are striving to solve many unique challenges.  Challenges being addressed range from government policy and public acceptance through to solving the key technological challenges that are critical to help deliver on the promise of full automobile autonomy.  […]

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Improving Timing Correlation to Synthesis in Advanced Process Nodes

In theory, physical synthesis tools have all the necessary information about the layout; in practice, they must be correlated very carefully to real-world layout data. The design of a chip involves many stages, from system specification and architectural design, all the way to the fabrication and packaging of the final silicon that goes into a […]

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Linley Analyst Awards Winner for 2015: CEVA-XM4 Vision Processor

We are proud to share with you that our fourth generation imaging and vision DSP, the CEVA-XM4 intelligent vision processor, has been named “Best Processor IP of 2015” by semiconductor industry technology analyst, The Linley Group. Download Linley’s announcement on CEVA-XM4. Linley’s “Best Processor IP” category covers a broad range of licensable processor cores including CPUs, DSPs, […]

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ISO 26262 Design Package available for the CEVA-XM4 Imaging and Vision DSP

CEVA has recently achieved a major milestone with the release of an ISO 26262 design package for the CEVA-XM4 imaging and vision DSP.  This achievement further illustrates CEVA’s commitment and dedication to delivering IP that meets and exceeds automotive industry standards and places CEVA IP at the forefront of other major IC vendors who are […]

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