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SAN JOSE, Calif., Sept. 16, 2020 /PRNewswire/ — StradVision, whose AI-based camera perception software is a leading innovator in Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AVs), will reveal insights into optimizing Deep Neural Networks (DNNs) for multiple processors at the 2020 Embedded Vision Summit. During the “Designing Bespoke DNNs for Target Hardware” session, which will be held at 9:30am Pacific Time on September 17, R&D Director and Co-founder Woonhyun Nam will also elaborate on StradVision’s patent know-how via its deep learning-based SVNet technology.
The presentation marks the sixth time that StradVision has participated in the pre-eminent conference and expo devoted to practical, deployed computer vision and visual AI.
This year’s conference includes speakers from Google, Intel, Samsung, Qualcomm, and LG Electronics, with a keynote speech from Google’s Distinguished Engineer David Patterson, who is also a professor at the University of California, Berkeley, and the Vice-Chair of the RISC-V Foundation.
During his session, Nam will touch on StradVision’s established patents, including their patented DNN-enabled SVNet software, as well as discuss the challenges and opportunities of Deep Neural Networks, including cost-effective techniques to optimize DNNs to better fit different processors while also reducing model size and power consumption. The effort required to transform …
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