- Yair Siegel, Director of Marketing, Imaging & Vision, CEVA
- Erez Natan, Imaging & Computer Vision Team Leader, CEVA
- Steven Hanna, President and co-founder, Phi Algorithm Solutions
Date: Thursday, November 12, 2015
Time: 10:00 AM Pacific Standard Time / 1:00 PM Eastern
Duration: 1 hour
Researchers have been investigating ways to mimic the human brain in computers for many years. Imitating the human brain, where many neurons are connected to each other and able to learn over time to identify new patterns and recognize objects, was mostly challenging in the vision domain, where the amount of data being processed (and the performance required) is high. Recent advances in quality of vision algorithms - Deep neural networks, in conjunction with the significant increase in raw embedded computing horsepower - have brought Deep Learning to the forefront of technology exploration in many areas and applications.
Join CEVA and Phi Algorithm Solutions vision experts to hear about:
- Overview to deep learning and how it may benefit embedded products.
- The development flow of deep neural networks from offline training onto low-power consumer devices and explore the various tradeoffs when developing for embedded system.
- How to deploy deep neural networks based applications quickly yet allowing enough flexibility for future market changes.
For more information on CEVA and Deep Learning in embedded systems, visit http://launch.ceva-dsp.com/cdnn/
About Phi Algorithm Solutions
Phi Algorithm Solutions is a leading provider of computer vision and image enhancement technology. The team consists of a unique blend of hardware, software, image processing experience to provide efficient proprietary solutions in the areas of object detection, object tracking, background subtraction, image enhancement, image restoration, format conversion, and 3D backlight and displays. For more information, visit http://www.phialgorithm.com/.
About CEVA, Inc.
CEVA is the leading licensor of cellular, multimedia and connectivity technologies to semiconductor companies and OEMs serving the mobile, consumer, automotive and IoT markets. Our DSP IP portfolio includes comprehensive platforms for multimode 2G/3G/LTE/LTE-A baseband processing in terminals and infrastructure, computer vision and computational photography for any camera-enabled device, audio/voice/speech and ultra-low power always-on/sensing applications for multiple IoT markets. For connectivity, we offer the industry's most widely adopted IPs for Bluetooth (Smart and Smart Ready), Wi-Fi (802.11 b/g/n/ac up to 4x4) and serial storage (SATA and SAS). One in every three phones sold worldwide is powered by CEVA, from many of the world's leading OEMs including Samsung, Huawei, Xiaomi, Lenovo, HTC, LG, Coolpad, ZTE, Micromax and Meizu. Visit us at www.ceva-dsp.com and follow us on Twitter, YouTube and LinkedIn.
To view the original version on PR Newswire, visit: http://www.prnewswire.com/news-releases/ceva-and-phi-algorithm-solutions-to-host-webinar-on-deep-learning-in-low-power-embedded-systems-300175558.html
SOURCE CEVA, Inc.
Phi Algorithm Solutions
CEVA, Richard Kingston, CEVA, Inc., 650-417-7976
Email Contact Pinnacle Marketing Communications Ltd, Simon Flatt
Phone: +44 20 8869 9229