This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Usually, when you’re presented with three options, such as powerful, efficient, and low cost, you’re also faced with the conundrum where you’re only allowed to pick one or two. Machine learning (ML) practitioners developing neural networks for […]
Exploring AIMET’s Post-Training Quantization Methods Read More +
On-device intelligence provides important benefits. This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our latest AI research to personalize and adapt models while keeping data private One size doesn’t fit all. The need for intelligent, personalized experiences powered by AI is ever-growing. Our devices are
Enabling On-device Learning at Scale Read More +
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
Neural Network Optimization with AIMET Read More +
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
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,
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 and now personalized AI experiences
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
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,
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
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
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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