Software

AMD Acquires Brium to Strengthen Open AI Software Ecosystem

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News Highlights Brium’s world-class compiler and AI software experience will strengthen AMD’s ability to deliver highly optimized AI solutions across the entire stack Will reduce developer dependencies on specific hardware configurations and enable accelerated out of the box AI performance Brium’s domain-specific expertise will expand AMD’s market reach across industries such as healthcare, life sciences, […]

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

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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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“Rapid Development of AI-powered Embedded Vision Solutions—Without a Team of Experts,” a Presentation from Network Optix

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Marcel Wouters, Senior Software Engineer at Network Optix, presents the “Rapid Development of AI-powered Embedded Vision Solutions—Without a Team of Experts” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Wouters shows how developers new to AI can quickly and easily create embedded vision solutions that extract valuable… “Rapid Development of AI-powered Embedded

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“OAAX: One Standard for AI Vision on Any Compute Platform,” a Presentation from Network Optix

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Robin van Emden, Senior Director of Data Science at Network Optix, presents the “OAAX: One Standard for AI Vision on Any Compute Platform” tutorial at the May 2025 Embedded Vision Summit. OAAX, an open accelerator compatibility standard being developed under the Linux Foundation AI & Data project, is key to… “OAAX: One Standard for AI

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Nota AI and Wind River Collaborate to Deliver On-device Generative AI for the Intelligent Edge

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SEOUL, South Korea and ALAMEDA, CA – May 28, 2025 – Nota AI, a pioneer in on-device AI optimization, and Wind River, a global leader in delivering software for the intelligent edge, have signed a strategic Partner Program Agreement (PPA) to combine Nota AI’s NetsPresso® capabilities into Wind River Studio Developer. “The combination of technologies

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UniForm: A Reuse Attention Mechanism for Efficient Transformers on Resource-constrained Edge Devices

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This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Delivers real-time AI performance on edge devices such as smartphones, IoT devices, and embedded systems. Introduces a novel “Reuse Attention” technique that minimizes redundant computations in Multi-Head Attention. Achieves competitive accuracy and significant inference speed

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

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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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AI Blueprint for Video Search and Summarization Now Available to Deploy Video Analytics AI Agents Across Industries

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This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The age of video analytics AI agents is here. Video is one of the defining features of the modern digital landscape, accounting for over 50% of all global data traffic. Dominant in media and increasingly important for

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Effortless Edge Deployment of AI Models with Digica’s AI SDK (Featuring ExecuTorch)

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This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Deploying AI models on mobile and embedded devices is a challenge that goes far beyond just converting a trained model. While frameworks like PyTorch offer a streamlined way to develop deep learning models, efficiently deploying them on

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Build & Deploy AI Vision Models for Windows on Snapdragon: OpenCV Live! Podcast

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This blog post was originally published at EyePop.ai’s website. It is reprinted here with the permission of EyePop.ai. Want to deploy AI models to the edge without the cloud? On this special LIVE podcast hosted by OpenCV, Andy Ballester and Blythe Towal show how EyePop.ai is enabling real-time, offline inference with Snapdragon NPUs from Qualcomm.

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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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