CDNN2 simplifies the development and deployment of deep learning systems for mass-market embedded devices
MOUNTAIN VIEW, Calif., August 01, 2017 – CEVA, Inc. (NASDAQ: CEVA), the leading licensor of signal processing IP for smarter, connected devices, today announced that the CEVA Deep Neural Network (CDNN2) software framework has been honored with the “2017 Most Innovative Product” award from OpenSystems Media’s Embedded Computing Design.
“We are delighted to be a recipient of this year’s “Most Innovative Product” award from Embedded Computing Design,” said Ilan Yona, vice president and general manager of the Vision Business Unit at CEVA. “There is tremendous industry momentum behind artificial intelligence and deep learning technologies and our CDNN2 software framework enables the rapid deployment of advanced neural networks in any CEVA-XM powered device. This prestigious award is another endorsement of our complete platform strategy to addressing the mass-market AI challenge.”
The criteria for the product choices boiled down to a few key areas: technology innovation, relative performance, and potential business/market impact. CDNN2 received high marks from judges in both Design Excellence and Market Disruption categories. The judges came from Embedded Computing Design’s esteemed Advisory Board and the Content/Editorial Team.
“It is our pleasure to recognize CEVA in our 2017 Most Innovative Product Awards for their CDNN2 software framework,” said Patrick Hopper, President of OpenSystems Media. “A key feature of the toolkit is its ability to eliminate months of development time for engineers developing intelligent products, which in turn serves to accelerate the use of artificial intelligence in our everyday lives.”
CDNN2 is a comprehensive toolkit that simplifies the development and deployment of deep learning systems for mass-market embedded devices. Tailored and optimized for the CEVA-XM family of imaging and vision DSPs, the CDNN toolkit includes the CEVA network generator, the CDNN real-time software framework, and a CNN hardware accelerator that works together to deliver superior performance while ensuring flexibility with the constantly evolving requirements of machine learning. Using a simple push-button mechanism, CDNN2 converts any pre-trained neural network to a network optimized for CEVA-XM based embedded systems while maintaining 99 percent accuracy and allowing it to run on a low power DSP; running CDNN2 on CEVA-XM DSPs improves power efficiency by up to 25x, with up to 4x faster processing than GPU- or CPU-based systems. For more information, visit http://www.ceva-dsp.com/product/ceva-deep-neural-network-cdnn/.
About CEVA, Inc.
CEVA is the leading licensor of signal processing IP for a smarter, connected world. We partner with semiconductor companies and OEMs worldwide to create power-efficient, intelligent and connected devices for a range of end markets, including mobile, consumer, automotive, industrial and IoT. Our ultra-low-power IPs for vision, audio, communications and connectivity include comprehensive DSP-based platforms for LTE/LTE-A/5G baseband processing in handsets, infrastructure and machine-to-machine devices, 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 (low energy and dual mode), Wi-Fi (802.11 a/b/g/n/ac up to 4×4) and serial storage (SATA and SAS). Visit us at www.ceva-dsp.com and follow us on Twitter, YouTube and LinkedIn.
