D3 Embedded to Present Production Workflow for Custom OCR at the Edge Using Foundational Vision Encoders at Embedded World 2026

Nuremberg, Germany — March 5, 2026 — D3 Embedded announced today that Alex Avery, Lead Computer Vision and Deep Learning Engineer, will present “From Foundation to Factory: Adapting Foundational Vision Encoders to Custom OCR at the Edge” at Embedded World 2026 on March 11 at 11:00, as part of the Embedded Vision Track (Session 6.4: […]

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Accelerating Product Development in the Era of Physical AI

This video was originally published at Peridio’s website. It is reprinted here with the permission of Peridio. The embedded world is undergoing its biggest transformation in a generation. AI workloads are now moving into the physical world — into cameras, robots, tractors, and drones — and edge devices are evolving into intelligent agents. Yet the

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February 2026 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 February 2026 Edge AI and Vision Innovation Forum. They are: The Introduction from Jeff Bier of the Edge AI and Vision Alliance Member company introduction presentations from Renesas, Efinix and… February 2026 Edge AI and

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Airy3D and Lattice to Showcase Compact, Integrated Humanoid and Robotic 3D Vision Demo at Embedded World 2026

Montreal, Canada — March 4, 2026 — Airy3D today announced a joint demonstration with Lattice Semiconductor highlighting a compact and compute-efficient 3D vision solution for humanoids and advanced robotics, which will be on display at Embedded World 2026. The demo combines Airy3D’s DepthIQ™ technology with a compact, low-power Lattice CrossLink™-NX FPGA to enable high-quality depth

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Edge AI and Vision Insights: March 4, 2026

  LETTER FROM THE EDITOR Dear Colleague, Vision-language models are becoming widely used. How can engineers familiar with classical AI and vision techniques learn to leverage these new models in real world applications? We have two pieces today focused on getting started with VLMs, one focused on running them on the Jetson hardware family, and

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Multi-Sensor IoT architecture: inside the stack and how to scale it

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. What Is a Multi-Sensor Stack, Really? At its core, a multi-sensor stack is a layered system where multiple sensor types (visual, thermal, acoustic, motion, environmental) work in parallel to generate a contextual understanding of the world around

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Which Service Robots Will Dominate the Market in the Next 10 Years?

Logistics robots and cleaning robots both benefit from high market demand and relatively low technical barriers, compared to kitchen and restaurant robots or underwater robots. Source: Service Robots 2026-2036: Technologies, Players and Markets This blog post was originally published at IDTechEx’s website. It is reprinted here with the permission of IDTechEx. The service robotics industry has grown

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February 2026 Edge AI and Vision Innovation Forum Presentation Files

The ZIP file linked to below contains PDFs of the various presentations from the Alliance’s February 26, 2026 Edge AI and Vision Innovation Forum. Please be aware that these materials are for Alliance Member company internal use only. February 26, 2026 Edge AI and Vision Innovation Forum Presentations February 2026 Edge AI and Vision Innovation

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Why On-device AI Matters

This blog post was originally published at ENERZAi’s website. It is reprinted here with the permission of ENERZAi. Hello! I’m Minwoo Son from ENERZAi’s Business Development team. Through several posts so far, we’ve shared ENERZAi’s full-stack software capabilities for delivering high-performance on-device AI — including Optimium, our proprietary AI compiler that encapsulates our optimization expertise;

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Upcoming Webinar on LLM-driven Driver Development

On March 19, 2026, at 1:00 pm EDT (10:00 am PDT) Boston.AI will deliver a webinar “Intelligent Driver Development with LLM Context Engineering ” From the event page: Developing even simple sensor drivers can consume valuable engineering time, requiring manual transcription of registers from datasheets into code—an error-prone and repetitive process. In this webinar, you’ll

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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.

Contact

Address

Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

Phone
Phone: +1 (925) 954-1411
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