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Neural Network Optimization with AIMET

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. To run neural networks efficiently at the edge on mobile, IoT, and other embedded devices, developers strive to optimize their machine learning (ML) models’ size and complexity while taking advantage of hardware acceleration for inference. For these …

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Meet Your Next-generation Visual AI Intelligence Application Requirement with the VVDN-QCS610/410 Development Kit

VVDN Technologies, a global provider of digital engineering, manufacturing, solutions, and services, has released the VVDN-QCS610/410 Development Kit, a compact and powerful solution to meet your new visual intelligence application needs. The VVDN-QCS610/QCS410 development kit is a compact and powerful solution for advanced visual intelligence applications. The development kit is a combination of the powerful …

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New Unified Qualcomm AI Stack Portfolio Revolutionizes Developer Access and Extends AI Leadership Across the Connected Intelligent Edge

Highlights: End-to-end AI software offering improves the developer experience by providing richer access to Qualcomm Technologies’ AI software capabilities within one unified software stack OEMs and developers will now have access to Qualcomm AI Stack to fully unleash the AI power of the Connected Intelligent Edge products – which includes smartphones, IoT, automotive, XR, cloud, …

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“The Future of AI is Here Today: Deep Dive into Qualcomm’s On-Device AI Offerings,” a Presentation from Qualcomm

Vinesh Sukumar, Senior Director and Head of AI/ML Product Management at Qualcomm, presents the “Future of AI is Here Today: Deep Dive into Qualcomm’s On-Device AI Offerings” tutorial at the May 2022 Embedded Vision Summit. As a leader in on-device AI, Qualcomm is in a unique position to deliver optimized… “The Future of AI is …

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

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… “Autonomous Driving AI Workloads: Technology …

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

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… “Tools for Creating Next-Gen Computer …

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

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… “Seamless Deployment of Multimedia and …

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

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… “A Practical Guide to Getting …

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“Powering the Connected Intelligent Edge and the Future of On-Device AI,” a Presentation from Qualcomm

Ziad Asghar, Vice President of Product Management at Qualcomm, presents the “Powering the Connected Intelligent Edge and the Future of On-Device AI,” tutorial at the May 2022 Embedded Vision Summit. Qualcomm is leading the realization of the “connected intelligent edge,” where the convergence of wireless connectivity, efficient computing and distributed… “Powering the Connected Intelligent Edge …

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Snapdragon Spaces is Globally Available for All Developers to Download and Revolutionize Headworn AR

Highlights: Snapdragon Spaces™ XR Developer Platform is available for developers to download. The first Snapdragon Spaces ready hardware development kit, the Lenovo ThinkReality A3 smart glasses and a motorola edge+ smartphone, can be purchased. Qualcomm Ventures announces investments in echo3D and Tripp as part of the previously announced $100M Snapdragon™ Metaverse Fund. June 1, 2022 …

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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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