Brian Dipert

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

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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September 2025 Edge AI and Vision Innovation Forum Presentation Videos

Below you’ll find the privately published (i.e. appropriate only for viewing by Alliance Member company representatives) videos from the Alliance’s September 2025 Edge AI and Vision Innovation Forum. They are: The presentations “Forum Introduction” and “Host Welcome” from Jeff Bier of the Edge AI and Vision Alliance and Haeyun Kim… September 2025 Edge AI and

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

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

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 presentation, Zakka 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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e-con Systems Expands Camera Support for Renesas’ New RZ/G3E, Enabling Reliable Edge AI Vision Solutions

California & Chennai (Aug 27, 2025) – e-con Systems®, a leading embedded vision solutions provider, announces camera support for Renesas’ latest RZ/G3E microprocessor, strengthening its partnership with Renesas in powering next-generation embedded vision applications such as industrial automation, smart city, automotive and more. Building on our successful integration with Renesas’ RZ/V2N and RZ/V2H processors, e-con

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OwLite Meets Qualcomm Neural Network: Unlocking On-device AI Performance

This blog post was originally published at SqueezeBits’ website. It is reprinted here with the permission of SqueezeBits. At SqueezeBits we have been empowering developers to efficiently deploy complex AI models while minimizing performance trade-offs with OwLite toolkit. With OwLite v2.5, we’re excited to announce official support for Qualcomm Neural Network (QNN) through seamless integration

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“Vision LLMs in Multi-agent Collaborative Systems: Architecture and Integration,” a Presentation from Google

Niyati Prajapati, ML and Generative AI Lead at Google, presents the “Vision LLMs in Multi-agent Collaborative Systems: Architecture and Integration” tutorial at the May 2025 Embedded Vision Summit. In this talk, Prajapati explores how vision LLMs can be used in multi-agent collaborative systems to enable new levels of capability and… “Vision LLMs in Multi-agent Collaborative

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NVIDIA and Intel to Develop AI Infrastructure and Personal Computing Products

Intel to design and manufacture custom data center and client CPUs with NVIDIA NVLink; NVIDIA to invest $5 billion in Intel common stock September 18, 2025 – NVIDIA (NASDAQ: NVDA) and Intel Corporation (NASDAQ: INTC) today announced a collaboration to jointly develop multiple generations of custom data center and PC products that accelerate applications and workloads

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Shifting AI Inference from the Cloud to Your Phone Can Reduce AI Costs

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Every AI query has a cost, and not just in dollars. Study shows distributing AI workloads to your devices — such as your smartphone — can reduce costs and decrease water consumption What you should know: Study

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“Building Agentic Applications for the Edge,” a Presentation from GMAC Intelligence

Amit Mate, Founder and CEO of GMAC Intelligence, presents the “Building Agentic Applications for the Edge” tutorial at the May 2025 Embedded Vision Summit. Along with AI agents, the new generation of large language models, vision-language models and other large multimodal models are enabling powerful new capabilities that promise to… “Building Agentic Applications for the

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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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