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“Vitis and Vitis AI: Application Acceleration from Cloud to Edge,” a Presentation from Xilinx

Vinod Kathail, Fellow and Chief Architect at Xilinx, presents the “Vitis and Vitis AI: Application Acceleration from Cloud to Edge” tutorial at the September 2020 Embedded Vision Summit. Xilinx SoCs and FPGAs provide significant advantages in throughput, latency, and energy efficiency for production deployments of compute-intensive applications when compared to CPUs and GPUs. Over the […]

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“Making Edge AI Inference Programming Easier and Flexible,” a Presentation from Texas Instruments

Manisha Agrawal, Product Marketing Engineer at Texas Instruments, presents the “Making Edge AI Inference Programming Easier and Flexible” tutorial at the September 2020 Embedded Vision Summit. Deploying an AI model at the edge doesn’t have to be challenging—but it often is. Embedded processing vendors have unique sets of software tools for deploying models. It takes

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“OpenCV: Rapid Growth and Evolution Beyond the Library,” a Presentation from OpenCV

Dr. Satya Mallick, CEO of OpenCV.org and OpenCV.ai, presents the “OpenCV: Rapid Growth and Evolution Beyond the Library” tutorial at the September 2020 Embedded Vision Summit. The last 20 years of OpenCV were dedicated to building the world’s largest high-performance computer vision library. Now, the organization is fast expanding beyond the flagship library to better

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“Embedded Vision for Autonomous Drones,” an Alliance Conversation with Skydio

Jeff Bier, Founder of the Edge AI and Vision Alliance, interviews Hayk Martiros, Head of Autonomy at Skydio, about the critical technical challenges for implementing embedded vision in autonomous drones that operate under difficult, real-world conditions. Skydio is hiring! The company is the leading U.S. drone manufacturer and world leader in autonomous flight. Skydio leverages

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Implementing a Real-time, AI-Based, Face Mask Detector Application for COVID-19

This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Businesses are constantly overhauling their existing infrastructure and processes to be more efficient, safe, and usable for employees, customers, and the community. With the ongoing pandemic, it’s even more important to have advanced analytics apps and services

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“Deploying Deep Learning Applications on FPGAs with MATLAB,” a Presentation from MathWorks

Jack Erickson, Principal Product Marketing Manager at MathWorks, presents the “Deploying Deep Learning Applications on FPGAs with MATLAB” tutorial at the September 2020 Embedded Vision Summit. Designing deep learning networks for embedded devices is challenging because of processing and memory resource constraints. FPGAs present an even greater challenge due to the complexity of programming in

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“Designing Cameras to Detect the “Invisible”: Handling Edge Cases Without Supervision,” a Presentation from Algolux

Felix Heide, Co-Founder and Chief Technology Officer at Algolux, presents the “Designing Cameras to Detect the “Invisible”: Handling Edge Cases Without Supervision” tutorial at the September 2020 Embedded Vision Summit. Vision systems play an essential role in safety-critical applications, such as advanced driver assistance systems, autonomous vehicles, video security, and fleet management. However, today’s imaging

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Octonion Releases Expansion Package Dedicated to AI-Based Industrial Condition Monitoring on STMicroelectronics STM32 MCUs

The solution enables industrial-equipment vendors to quickly evaluate Octonion’s embedded AI models, running on-device learning directly on STM32 MCUs Lausanne and Geneva, Switzerland – November 18, 2020 — Octonion SA, a deep tech software company specializing in Artificial Intelligence (AI) at the Edge for industrial-equipment diagnosis, announced an STM32Cube expansion package optimized for STM32L4+ microcontroller-based

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“Qualcomm AI Leading the Way with Distributed Intelligence,” a Presentation from Qualcomm

Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “Qualcomm AI Leading the Way with Distributed Intelligence” tutorial at the September 2020 Embedded Vision Summit. Qualcomm is leading the way in distributed intelligence. The company’s vision is to make all devices increasingly intelligent, giving them the ability to perceive their surroundings, to reason

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“AI-powered People Detection Using Time of Flight Data,” a Presentation from Arrow Electronics and Analog Devices

Andrei Cozma, Engineering Manager at Analog Devices, presents the “AI-powered People Detection Using Time of Flight Data” tutorial at the September 2020 Embedded Vision Summit. Arrow Electronics and Analog Devices have teamed up to provide end-users with a Time of Flight development kit that includes hardware, software and algorithms for developing applications that require 3D

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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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