Qualcomm

One Year of Qualcomm AI Hub: Enabling Developers and Driving the Future of AI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The past year has been an incredible journey for Qualcomm AI Hub. We’ve seen remarkable growth, innovation and momentum — and we’re only getting started. Qualcomm AI Hub has become a key resource for developers looking to […]

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Edge AI Today: Real-world Use Cases for Developers

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Developers today face increasing pressure to deliver intelligent features with tighter timelines, constrained resources, and heightened expectations for privacy, performance, and accuracy. This article highlights real-world Edge AI applications already in production and mainstream use—providing actionable inspiration

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Optimizing Your AI Model for the Edge

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Key takeaways: We talk about five techniques—compiling to machine code, quantization, weight pruning, domain-specific fine-tuning, and training small models with larger models—that can be used to improve on-device AI model performance. Whether you think edge AI is

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Qualcomm Trends and Technologies to Watch In IoT and Edge AI

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. “It’s amazing how Qualcomm was able to turn the ship on a dime since the last [Embedded World] show. The launch of Qualcomm Dragonwing and the Partner Day event were on point and helpful, showing Qualcomm’s commitment

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Low-power Computer Vision Challenge: Empowering AI Development on Edge Devices

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The Low-Power Computer Vision Challenge (LPCVC) is an annual competition organized by the Institute of Electrical and Electronics Engineers (IEEE) to improve the energy efficiency of computer vision technologies for systems with constrained resources. Established in 2015

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A World’s First On-glass GenAI Demonstration: Qualcomm’s Vision for the Future of Smart Glasses

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our live demo of a generative AI assistant running completely on smart glasses — without the aid of a phone or the cloud — and the reveal of the new Snapdragon AR1+ platform spark new possibilities for

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AI and Computer Vision Insights at CVPR 2025

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our papers, demos, workshops and tutorial continue our leadership in generative AI and learning systems At Qualcomm AI Research, we are advancing AI to make its core capabilities — perception, reasoning and action — ubiquitous across devices.

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We Built a Personalized, Multimodal AI Smart Glass Experience — Watch It Here

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our demo shows the power of on-device AI and why smart glasses make the ideal AI user interface Gabby walks into a gym while carrying a smartphone and wearing a pair of smart glasses. Unsure of where

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“How Qualcomm Is Powering AI-driven Multimedia at the Edge,” a Presentation from Qualcomm

Ning Bi, Vice President of Engineering at Qualcomm Technologies, presents the “How Qualcomm Is Powering AI-driven Multimedia at the Edge” tutorial at the May 2025 Embedded Vision Summit. In this talk, Bi explores the evolution of multimedia processing at the edge, from simple early use cases such as audio and… “How Qualcomm Is Powering AI-driven

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Biometrics in IoT: CyberLink Ports FaceMe to Qualcomm Hexagon NPU for Facial Recognition on Edge Devices

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. If you develop facial recognition software, you spend most of your time and effort maximizing performance, accuracy and precision. Your customers expect high performance, even when running on low-power edge devices like point-of-sale (POS) terminals, kiosks and

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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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