David Scott, Founder and CEO at Synetic presents “Why Edge Vision Models Keep Breaking—and What Complete Training Data Changes” at the May 2026 Embedded Vision Summit. Most edge vision deployments fail not because of model architecture, but because real-world training data is structurally incomplete. Sampled data can’t cover combinatorial edge… “Why Edge Vision Models Keep […]
On August 11, 2026 at 9 am PT (noon ET), Synetic AI’s Founder and CEO David Scott, will present the free hour webinar “Why Edge Vision Models Keep Breaking—and What Complete Training Data Changes,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: Most edge vision deployments fail
Free Webinar Highlights Compelling Advantages of Synthetic Data Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. For years, facility digitization has relied on a single, expensive robot slowly traversing every corridor of a warehouse, laboratory, or industrial plant. While effective, this approach is linear, which clashes with the fact that facilities are
Dave Tokic, Vice President of Corporate Development at Torc Robotics moderates the “Edge AI and Vision in Robotics: From Benchmarks to Fleet-Scale Reality” expert panel at the May 2026 Embedded Vision Summit. Other panelists include Vlad Branzoi, Perception Sensors Team Lead and Senior Staff Engineer at Agility Robotics, Bob Kunz,… “Edge AI and Vision in
Nicolas Widynski, AI Fellow at Lattice Semiconductor presents “Efficient Computer Vision at the Far Edge: Design and Training Under Constraints” at the May 2026 Embedded Vision Summit. This session explores practical strategies for deploying computer vision AI on far-edge devices under strict resource constraints. While highlighting FPGA-specific strengths, such as… “Efficient Computer Vision at the
This blog post was originally published at ENERZAi’s website. It is reprinted here with the permission of ENERZAi. Today, we are excited to share a milestone that our team has been working toward for some time. ENERZAi has successfully deployed BitNet (b1.58) 2B on the Qualcomm QCS6490 Hexagon NPU via QNN! If that sentence felt
Running BitNet on Qualcomm Hexagon with custom 1.58 kernels Read More +
This blog post was originally published at Expedera’s website. It is reprinted here with the permission of Expedera. As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained utilization, especially at the edge. Vision LLMs are changing
Why Vision LLMs Force A Rethink Of Edge AI Hardware Read More +
Mark Antonelli, CTO at Boston.AI presents “What We Learned Porting to OpenCV 5 with Claude Code” at the May 2026 Embedded Vision Summit. OpenCV 5 introduces significant architectural changes to improve vision performance and better utilize modern hardware. In addition to support for new features like vision-language models, there are… “What We Learned Porting to
“What We Learned Porting to OpenCV 5 with Claude Code,” a Presentation from Boston.AI Read More +
Gemma 4 on Arm brings fast, privacy-preserving, power-efficient AI directly onto Android devices, helping developers deliver richer real-time app experiences to billions of users without relying on the cloud. This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. Real-time assistance, seamless communication, and greater personalization are now baseline expectations for billions of smartphone
Pietro Antonio Cicalese, Senior Technical Marketing Engineer at Ambarella, presents “Edge-First Coding Agents: Trustworthy Agentic Development for Real Devices” at the May 2026 Embedded Vision Summit. Coding agents are usually built as cloud-first abstractions. But for developing trustworthy, production-ready edge systems, we’ve found that coding agents should be designed from… “Edge-First Coding Agents: Trustworthy Agentic
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.
Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596
