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“Scaling Artificial Intelligence and Computer Vision for Conservation,” a Presentation from The Nature Conservancy

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Matt Merrifield, Chief Technology Officer at The Nature Conservancy, presents the “Scaling Artificial Intelligence and Computer Vision for Conservation” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Merrifield explains how the world’s largest environmental nonprofit is spearheading projects to scale the use of edge AI and vision… “Scaling Artificial Intelligence and Computer […]

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“A Lightweight Camera Stack for Edge AI,” a Presentation from Meta

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Jui Garagate, Camera Software Engineer, and Karthick Kumaran, Staff Software Engineer, both of Meta, co-present the “Lightweight Camera Stack for Edge AI” tutorial at the May 2025 Embedded Vision Summit. Electronic products for virtual and augmented reality, home robots and cars deploy multiple cameras for computer vision and AI use… “A Lightweight Camera Stack for

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“Unlocking Visual Intelligence: Advanced Prompt Engineering for Vision-language Models,” a Presentation from LinkedIn Learning

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Alina Li Zhang, Senior Data Scientist and Tech Writer at LinkedIn Learning, presents the “Unlocking Visual Intelligence: Advanced Prompt Engineering for Vision-language Models” tutorial at the May 2025 Embedded Vision Summit. Imagine a world where AI systems automatically detect thefts in grocery stores, ensure construction site safety and identify patient… “Unlocking Visual Intelligence: Advanced Prompt

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The Edge’s Essential Role in the Future of AI

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This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. What you should know: The future of AI will be hybrid, with the cloud and the edge working together — each playing a vital role. The user interface (UI) is now human-centric — your device understands your

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“Deploying Accelerated ML and AI: The Role of Khronos Open Standards,” a Presentation from the Khronos Group

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Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Deploying Accelerated ML and AI: The Role of Khronos Open Standards” tutorial at the May 2025 Embedded Vision Summit. Accelerating machine learning and AI workloads often requires specialized hardware, but managing compatibility across… “Deploying Accelerated ML and AI:

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“Scaling Computer Vision at the Edge,” a Presentation from Invisible AI

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Eric Danziger, CEO of Invisible AI, presents the “Scaling Computer Vision at the Edge” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Danziger introduces a comprehensive framework for scaling computer vision systems across three critical dimensions: capability evolution, infrastructure decisions and deployment scaling. Today’s leading-edge vision systems… “Scaling Computer Vision at the

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How Do You Teach an AI Model to Reason? With Humans

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This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA’s data factory team creates the foundation for AI models like Cosmos Reason, which today topped the physical reasoning leaderboard on Hugging Face. AI models are advancing at a rapid rate and scale. But what might they

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“Scaling Machine Learning with Containers: Lessons Learned,” a Presentation from Instrumental

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Rustem Feyzkhanov, Machine Learning Engineer at Instrumental, presents the “Scaling Machine Learning with Containers: Lessons Learned” tutorial at the May 2025 Embedded Vision Summit. In the dynamic world of machine learning, efficiently scaling solutions from research to production is crucial. In this presentation, Feyzkhanov explores the nuances of scaling machine… “Scaling Machine Learning with Containers:

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PerCV.ai: How a Vision AI Platform and the STM32N6 can Turn Around an 80% Failure Rate for AI Projects

Algorithms, Automotive, Blog Posts, Object Identification, Object Tracking, Optical Character Recognition, Processors, Software, STMicroelectronics, Tools /

This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. The vision AI platform PerCV.ai (pronounced Perceive AI), could be the secret weapon that enables a company to deploy an AI application when so many others fail. The solution from Irida Labs, a member of the ST

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“Vision-language Models on the Edge,” a Presentation from Hugging Face

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Cyril Zakka, Health Lead at Hugging Face, presents the “Vision-language Models on the Edge” tutorial at the May 2025 Embedded Vision Summit. In this Zakka, we provides an overview of vision-language models (VLMs) and their deployment on edge devices using Hugging Face’s recently released SmolVLM as an example. He examines… “Vision-language Models on the Edge,”

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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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