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Qualcomm

Snapdragon 8 Gen 2 Defines a New Standard for Premium Smartphones

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Highlights: Snapdragon® 8 Gen 2 Mobile Platform to revolutionize flagship smartphones for truly extraordinary experiences Snapdragon Smart enables groundbreaking AI experiences like faster natural language processing with multi-language translation and revolutionary INT4 support Snapdragon Sight™ technology additions include new Cognitive ISP to power real time semantic segmentation for photo and video capture, delivering breakthrough customized […]

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Exploring AIMET’s Quantization-aware Training Functionality

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This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. In Exploring AIMET’s Post-Training Quantization Methods, we discussed Cross-layer Equalization (CLE), Bias Correction, and AdaRound in AIMET. Using these methods, the weights and activations of neural network models can be reduced to lower bit-width representations, thus reducing

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Qualcomm Scales Flagship Experiences to More Consumers with Introduction of Snapdragon 6 and 4 Gen 1

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Enabling Illuminating Capture, Advanced Connectivity Features, and Next-Generation Artificial Intelligence Highlights: Snapdragon 6 Gen 1 and Snapdragon 4 Gen 1 Mobile Platforms provide advanced technology solutions for the mid-tier and mass-volume segments. Snapdragon 6 Gen 1 Mobile Platform provides brilliance beyond expectation, fueling dynamic experiences. Commercial devices powered by Snapdragon 6 are expected to be

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Exploring AIMET’s Post-Training Quantization Methods

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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

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Enabling On-device Learning at Scale

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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

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Neural Network Optimization with AIMET

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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

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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

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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

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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

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“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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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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