Tag Archives | CDNN

5 Google Projects that Will Bring AI into Your Home This Year

Takeaways from Google I/O 2016 The tenth annual Google I/O conference was all about artificial intelligence (AI). Advances in voice recognition, image recognition, translation, and contextual conversational assistance were some of the main highlights of the keynote. Google CEO Sundar Pichai stated that “thanks to profound advances in machine learning and AI… we are poised […]

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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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“Moving autonomous driving into the fast lane”

There have been few technological movements in automotive that feel as revolutionary as the one we have in front of us today; Autonomous Driving. These days, it’s discussed far beyond the automotive industry – open any technology or lifestyle magazine on the newsstand and it’s pretty much guaranteed there will be an article discussing the […]

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How Computer Vision Empowers Autonomous Drones

Computer vision technology is complementing GPS sensors in visually smarter drones in a quest to have autonomous features like object tracking, environment sensing, collisions avoiding and more. At the same time, 4K video, now a must-have feature, and other functions like 3D depth map creation pose significant computational challenges for the high-quality image- and video-processing […]

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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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