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Videos on Edge AI and Visual Intelligence

We hope that the compelling AI and visual intelligence case studies that follow will both entertain and inspire you, and that you’ll regularly revisit this page as new material is added. For more, monitor the News page, where you’ll frequently find video content embedded within the daily writeups.

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“Reinforcement Learning: a Practical Introduction,” a Presentation from Microsoft

Joe Booth, former Vice President of Engineering at Orions Systems (now part of Microsoft, where Booth is a Principal Group Engineering Manager) and an independent researcher, presents the “Reinforcement Learning: a Practical Introduction” tutorial at the September 2020 Embedded Vision Summit. This talk provides a practical introduction to reinforcement learning.… “Reinforcement Learning: a Practical Introduction,”

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“Khronos Standard APIs for Accelerating Vision and Inferencing,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Khronos Standard APIs for Accelerating Vision and Inferencing” tutorial at the September 2020 Embedded Vision Summit. The landscape of processors and tools for accelerating inferencing and vision applications continues to evolve rapidly. Khronos… “Khronos Standard APIs for Accelerating

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“Feeding the World Through Embedded Vision,” a Presentation from John Deere

Travis Davis, Delivery Manager for the Automation Delivery team with the Intelligent Solutions Group at John Deere, presents the “Feeding the World Through Embedded Vision” tutorial at the September 2020 Embedded Vision Summit. Although it’s not widely known outside of the industry, computer vision is beginning to be used at… “Feeding the World Through Embedded

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“How 5G is Pushing Processing to the Edge,” a Presentation from Inseego

Dan Picker, Chief Technology Officer at Inseego, presents the “How 5G is Pushing Processing to the Edge” tutorial at the September 2020 Embedded Vision Summit. Worldwide 5G deployment has begun and promises ultra-high data rates with ultra-low latency, enabling real-time and interactive applications unlike anything previously supported by a cellular… “How 5G is Pushing Processing

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“Challenges and Approaches for Cascaded DNNs: A Case Study of Face Detection for Face Verification,” a Presentation from Imagination Technologies

Ana Salazar, Senior Research Manager at Imagination Technologies, presents the “Challenges and Approaches for Cascaded DNNs: A Case Study of Face Detection for Face Verification” tutorial at the September 2020 Embedded Vision Summit. This talk explores the challenges of deploying serial computer vision tasks implemented with DNNs. Neural network accelerators… “Challenges and Approaches for Cascaded

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“Sea-thru: A Method for Removing Water from Underwater Images,” a Presentation from the Harbor Branch Oceanographic Institute

Derya Akkaynak, Engineer and Oceanographer at the Harbor Branch Oceanographic Institute, presents the “Sea-thru: A Method for Removing Water from Underwater Images” tutorial at the September 2020 Embedded Vision Summit. Very large underwater image datasets are generated every day that capture important information regarding the state of our oceans, but… “Sea-thru: A Method for Removing

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“Lessons From the Start-up Trenches,” a Presentation by and Interview with Oliver Gunasekara

Independent consultant Oliver Gunasekara and Shweta Shrivastava, chief product officer at Nauto, present the “Lessons From the Start-up Trenches” tutorial at the September 2020 Embedded Vision Summit. This interview with Oliver Gunasekara, founder and CEO of NGCodec, explores lessons learned during the journey of NGCodec—a video codec developer—from its founding… “Lessons From the Start-up Trenches,”

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“Safer and More Efficient Intersections with Computer Vision,” a Presentation from Cubic | GRIDSMART

Jeff Price, Vice President and General Manager at Cubic | GRIDSMART, presents the “Safer and More Efficient Intersections with Computer Vision” tutorial at the September 2020 Embedded Vision Summit. GRIDSMART is an edge computer vision system that uses omnidirectional imaging to detect and track objects through intersections to optimize traffic… “Safer and More Efficient Intersections

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