Enabling Technologies

“Autonomous Driving AI Workloads: Technology Trends and Optimization Strategies,” a Presentation from Qualcomm

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Ahmed Sadek, Senior Director of Engineering at Qualcomm, presents the “Autonomous Driving AI Workloads: Technology Trends and Optimization Strategies” tutorial at the May 2022 Embedded Vision Summit. Enabling safe, comfortable and affordable autonomous driving requires solving some of the most demanding and challenging technological problems. From centimeter-level localization to multimodal sensor perception, sensor fusion, behavior […]

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“Tools for Creating Next-Gen Computer Vision Apps on Snapdragon,” a Presentation from Qualcomm

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Judd Heape, Vice President of Product Management for Camera, Computer Vision and Video Technology at Qualcomm, presents the “Tools for Creating Next-Gen Computer Vision Apps on Snapdragon” tutorial at the May 2022 Embedded Vision Summit. The Snapdragon Mobile Platform powers the world’s best smartphones, XR headsets, PCs, wearables, cars and IoT products. Thanks to Snapdragon,

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“Seamless Deployment of Multimedia and Machine Learning Applications at the Edge,” a Presentation from Qualcomm

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Megha Daga, Senior Director of Product Management for AIoT at Qualcomm, presents the “Seamless Deployment of Multimedia and Machine Learning Applications at the Edge” tutorial at the May 2022 Embedded Vision Summit. There has been an explosion of opportunities for edge compute solutions across the internet of things. This growth in opportunities and the diversity

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“A Practical Guide to Getting the DNN Accuracy You Need and the Performance You Deserve,” a Presentation from Qualcomm

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Felix Baum, Director of Product Management at Qualcomm, presents the “Practical Guide to Getting the DNN Accuracy You Need and the Performance You Deserve” tutorial at the May 2022 Embedded Vision Summit. Every day, developers struggle to take DNN workloads that were originally developed on workstations and migrate them to run on edge devices. Whether

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“FOMO: Real-Time Object Detection on Microcontrollers,” a Presentation from Edge Impulse

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Jan Jongboom, Co-founder and CTO of Edge Impulse, delivers the “FOMO: Real-Time Object Detection on Microcontrollers” tutorial at the May 2022 Embedded Vision Summit. Object detection models are vital for many computer vision applications. They can show where an object is in a video stream, or how many objects are present. But they’re also very

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“A New Adaptive Module for Vision AI at the Edge,” a Presentation from Xilinx

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Chetan Khona, Director of the Industrial, Vision, Healthcare and Science Markets at Xilinx, presents the “New Adaptive Module for Vision AI at the Edge” tutorial at the May 2021 Embedded Vision Summit. Xilinx Kria System-on-Modules (SOMs) provide a secure, production-ready multi-core Arm and FPGA platform, including memories, power management, and Yocto or Ubuntu Linux to

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“Case Study: Facial Detection and Recognition for Always-On Applications,” a Presentation from Synopsys

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Jamie Campbell, Product Marketing Manager for Embedded Vision IP at Synopsys, presents the “Case Study: Facial Detection and Recognition for Always-On Applications” tutorial at the May 2021 Embedded Vision Summit. Although there are many applications for low-power facial recognition in edge devices, perhaps the most challenging to design are always-on, battery-powered systems that use facial

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“Visual AI at the Edge: From Surveillance Cameras to People Counters,” a Presentation from Synaptics

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Patrick Worfolk, Senior Vice President and CTO of Synaptics, presents the “Enabling Visual AI at the Edge: From Surveillance Cameras to People Counters” tutorial at the May 2021 Embedded Vision Summit. New AI-at-the-edge processors with improved efficiencies and flexibility are unleashing a huge opportunity to democratize computer vision broadly across all markets, enabling edge AI

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“TinyML Isn’t Thinking Big Enough,” a Presentation from Perceive

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Steve Teig, CEO of Perceive, presents the “TinyML Isn’t Thinking Big Enough” tutorial at the May 2021 Embedded Vision Summit. Today, TinyML focuses primarily on shoehorning neural networks onto microcontrollers or small CPUs but misses the opportunity to transform all of ML because of two unfortunate assumptions: first, that tiny models must make significant performance

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“Streamlining Development of Edge AI Applications,” a Presentation from NVIDIA

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Barrie Mullins, Director of Technical Product Marketing at NVIDIA, presents the “Streamlining Development of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit. Edge AI provides benefits for cost, latency, privacy, and connectivity. Developing and deploying optimized, accurate and effect AI on edge-based systems is a time-consuming, challenging and complex process. In this

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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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