Blog Posts

Why Multi-Robot Autonomous Mapping Is Becoming Essential for Large-Scale Facilities (Part 1)

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 […]

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Akida Pico: The Tiny Brain Making “Always-On” AI a Reality

This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. In the world of Edge AI, there’s always been a tradeoff: high intelligence, always-on capability, or long battery life. If you wanted a device to listen for a voice command or monitor something 24/7, you usually had to

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Four Generations of the Rapidflare Agent Harness – Spark, Flame, Blaze and Forge

How the Rapidflare agent harness has evolved across four generations — from a simple RAG pipeline in 2023 to a long-running, broader, deeper harness in 2026.   This blog post was originally published at Rapidflare’s website. It is reprinted here with the permission of Rapidflare.   Since the start of Rapidflare, we have shipped four distinct

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Sony IMX412 vs Sony IMX676: A detailed comparison of Sony sensors for Embedded Vision Solutions

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Key Takeaways: What Sony STARVIS 2 technology is and how it improves upon the original STARVIS architecture The key architectural differences between the IMX412 and IMX676 How to select the right sensor based on resolution, frame

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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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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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Samsung Foundry and Cadence: Accelerating Chiplet Solutions for Physical AI

This blog post was originally published at Samsung Semiconductor’s website. It is reprinted here with the permission of Samsung Semiconductor. Artificial Intelligence (AI) is rapidly expanding beyond digital environments and into the physical world. AI-driven systems that give machines the ability to perceive, comprehend, learn from, and respond to real-time environments are quickly moving from

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