Algorithms & Models

“Efficient Computer Vision at the Far Edge: Design and Training Under Constraints,” a Presentation from Lattice Semiconductor

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 […]

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Running BitNet on Qualcomm Hexagon with custom 1.58 kernels

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

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Why Vision LLMs Force A Rethink Of Edge AI Hardware

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

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“What We Learned Porting to OpenCV 5 with Claude Code,” a Presentation from Boston.AI

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

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Gemma 4 on Arm: Accessible, Immediate, Optimized On-device AI to Accelerate the Mobile App Experience

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

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“Edge-First Coding Agents: Trustworthy Agentic Development for Real Devices,” a Presentation from Ambarella

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

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How to Install OpenClaw and Hermes Agent on Qualcomm Arduino Boards, Rubik Pi 3 and Snapdragon PCs

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm.   A Step-by-Step Guide with Arduino UNO Q, Rubik Pi 3, and PCs with Snapdragon Introduction Welcome, developers and tech enthusiasts! This blog post will guide you through running OpenClaw and Hermes Agent on Qualcomm Technologies’ platforms,

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ModelCat Selected for 2026 Amazon Devices Climate Tech Accelerator

Company will collaborate with Amazon and Plug and Play Tech Center to evaluate edge AI deployment pathways that can help reduce device energy consumption and carbon impact Sunnyvale, California — May 20, 2026 — ModelCat today announced that it has been selected to participate in the 2026 Amazon Devices Climate Tech Accelerator, a program developed

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Upcoming Webinar on Building Your First Real-World AI Tool

On May 21, 2026, at 1:00 pm EDT (10:00 am PDT) Boston.AI will deliver a webinar “What It Takes to Build Your First Real-World AI Tool” From the event page: Most AI talks focus on what’s possible. This one shows how to actually use AI in product development, even if you’re just getting started. In

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Synetic Debuts LYNX Computer Vision SDK at the 2026 Embedded Vision Summit

New SDK helps teams add real-time vision capabilities to robotics, industrial automation, security and edge AI systems with faster deployment, flexible integration and continuous model improvement REDMOND, Wash. — May 11, 2026 — Synetic, Inc., a provider of computer vision and synthetic data solutions for real-world AI systems, today announced the debut of LYNX, a

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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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