Qualcomm

What’s New with Our AI Open Source: AIMET Enhancements and Code from Papers

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. AIMET now supports AdaRound and RNN quantization, plus a new GitHub open source project features code from prominent Qualcomm AI Research papers Over the past couple of years, we’ve been expanding our collaboration efforts by starting open-source

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World’s First Software-based Neural Video Decoder Running HD Format in Real-time On a Commercial Smartphone

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm AI Research demonstrates 1280×704 HD video being decoded real-time at 30+ frames per second on Snapdragon 888 It used to be that most people wondered about the value of artificial intelligence (AI) and what it could

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Qualcomm Announces Collaboration with Microsoft to Expand and Accelerate AR to Usher in New Gateways to the Metaverse

The Companies will Collaborate on Designing Custom AR Chips and Integrating Software Platforms January 4, 2022 – Las Vegas – At the 2022 Consumer Electronics Show (CES), Qualcomm Technologies, Inc. announced their collaboration with Microsoft to expand and accelerate the adoption of augmented reality (AR) in both the consumer and enterprise sector. Both companies are

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Intelligence At Scale Through AI Model Efficiency

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Qualcomm AI Research’s latest research and techniques for power and compute efficient AI, including Neural Architecture Search (NAS) AI, specifically deep learning, is revolutionizing industries, products, and core capabilities by delivering dramatically enhanced experiences. However, the deep

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Morpho and Qualcomm Technologies, Inc. Join Forces, Enabling AI and Image Processing on Snapdragon Compute Platforms

Tokyo, Japan – December 10th, 2021– Morpho, Inc. (hereinafter, “Morpho”), a global leader in image processing solutions and imaging AI solutions, announced today its collaboration with Qualcomm Technologies, Inc., a leading semiconductor company, to implement Morpho’s AI and image processing technologies in upcoming Snapdragon® compute platforms. Due to the surge in online meetings driven by

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How to Represent Information: On Bayesian Bits, Qubits, and Hintons

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Before I joined Qualcomm Technologies Netherlands, computation was always a black box for me. I’d design an algorithm, code it up in some high-level programming language, run it, and it would simply work. Since then, I have

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ADLINK Releases its First SMARC Module Based on Qualcomm QRB5165 Enabling High Performance Robots and Drones at Low Power

Integrated IoT technologies provide on-device AI capabilities at the edge Summary: The LEC-RB5 SMARC is a high-performance module, built with the Qualcomm® QRB5165 processor, allowing on-device AI and 5G connectivity capabilities for consumer, enterprise and industrial robots. It features a high performance NPU, Octa-Core (8x Arm Coretex-A77 cores) CPU, low power consumption and support for

ADLINK Releases its First SMARC Module Based on Qualcomm QRB5165 Enabling High Performance Robots and Drones at Low Power Read More +

Qualcomm Announces World’s Most Advanced Mobile Platform, the Snapdragon 8 Gen 1

Snapdragon 8 will Usher in the Next Generation of Premium Android Smartphones with Commercial Devices Expected by the End of 2021 Highlights: Snapdragon® 8 Gen 1 leads the way into a new era of premium mobile technology Most advanced 5G mobile platform and the world’s first 5G modem-RF solution to reach 10 Gigabit download speeds

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AIMET Model Zoo: Highly Accurate Quantized AI Models are Now Available

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. 8-bit integer models using the AI Model Efficiency Toolkit Making neural network models smaller is crucial for the widespread deployment of AI. Qualcomm AI Research has been developing state-of-the-art quantization techniques that enable power-efficient fixed-point inference while preserving

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