Samer Hijazi, Deep Learning Engineering Group Director at Cadence, presents the "Techniques to Reduce Power Consumption in Embedded DNN Implementations" tutorial at the May 2017 Embedded Vision Summit. Deep learning is becoming the most widely used technique for computer vision and pattern recognition. This rapid adoption is primarily driven by the outstanding effectiveness deep learning […]
Fan Wang, Technical Director at Thundersoft, presents the "Power of a Turnkey Camera Solution: Introduction to the Camera Development Kit" tutorial at the May 2017 Embedded Vision Summit. In this presentation, Wang showcases the power of a turn-key camera solution via the company's camera development kit, which can be used for algorithm development and smart
Yair Siegel, Director of Strategic Marketing at CEVA, presents the "Fast Inference in Low Power Systems via CEVA’s Deep Neural Network Solution" tutorial at the May 2017 Embedded Vision Summit. The emergence of state-of-the-art, real-time object detection solely based on convolutional neural networks has created new and complex challenges for embedded systems. Algorithms such as
Pulin Desai, Director of Product Marketing at Cadence, presents the "Scalable Neural Network Processors for Embedded Applications" tutorial at the May 2017 Embedded Vision Summit. This presentation describes the architecture of the latest Tensilica-based neural network processor IP and illustrates how easily different neural networks can be run using it. See how this low-power architecture
Anders Grunnet-Jepsen, CTO and Director of Advanced Technology in the Perceptual Computing Group at Intel, presents the "How Intel’s Latest RealSense Technology Can Help Your Embedded Systems See, Navigate, and Understand the Real World" tutorial at the May 2017 Embedded Vision Summit. Intel’s latest RealSense technology is specifically designed to enable highly sophisticated, low-cost, small
Roberto Mijat, Director of Software Product Management in the Business Segment Group at ARM, presents the "Computer Vision on ARM: Faster Ways to Optimize Software for Advanced Mobile Computing Platforms" tutorial at the May 2017 Embedded Vision Summit. Mobile computing platforms are ubiquitous, and therefore provide an exciting vehicle for the deployment of new computer
Pierre Paulin, Director of R&D for Embedded Vision at Synopsys, presents the "Designing Scalable Embedded Vision SoCs from Day 1" tutorial at the May 2017 Embedded Vision Summit. Some of the most critical embedded vision design decisions are made early on and affect the design’s ultimate scalability. Will the processor architecture support the needed vision
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Jeff McVeigh, Vice President in the Software and Services Group and General Manager of visual computing products at Intel, presents the "Vision for All?" tutorial at the May 2017 Embedded Vision Summit. So, you’ve decided to incorporate visual intelligence into your device or application. Will you need a team of computer vision PhDs working for
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Tim Ramsdale, General Manager of the Imaging and Vision Group at ARM, presents the "This Changes Everything — Why Computer Vision Will Be Everywhere" tutorial at the May 2017 Embedded Vision Summit. Computer vision, or teaching machines to see, will be revolutionary – it will change everything. Beyond the obvious markets where it is having
Tom Michiels, System Architect for Embedded Vision Processors at Synopsys, presents the "Moving CNNs from Academic Theory to Embedded Reality" tutorial at the May 2017 Embedded Vision Summit. In this presentation, you will learn to recognize and avoid the pitfalls of moving from an academic CNN/deep learning graph to a commercial embedded vision design. You
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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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