Blog Posts

AI Goes Horizontal—Analog Goes Deep

This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. An AI-driven gadget that acts on a drifting signal doesn’t know it’s wrong. It just acts—confidently, precisely, and in the wrong direction. Confidence without accuracy isn’t intelligence. It’s a liability. The gap between what a system is told […]

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Edge AI Optimization: Why Performance at the Edge Is Harder Than It Looks.

There’s a significant gap between running an AI model on a server and deploying it effectively to constrained edge hardware in the field. A look at the optimization challenges most teams underestimate.   This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Edge AI is

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Thermal-Aware Testing Strategies for Next-Gen Semiconductor Devices

This blog post was originally published at Tessolve’s website. It is reprinted here with the permission of Tessolve. As semiconductor devices continue to scale down in size and ramp up in performance, one challenge stands out above many others: thermal behavior. Heat isn’t just a byproduct of activity in modern chips; it’s one of the pivotal

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How to Overcome Vision Challenges While Building a Multi-Robot Mapping System (Part 2)

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In part 1 of this series, you explored why multi-robot autonomous mapping is becoming essential for large-scale facilities and what the core components of a modern multi-robot mapping system are. But knowing what a system should

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Engineering Intelligence at the Physical Edge

As AI moves into vehicles, appliances and industrial systems, the next challenge is scaling physical intelligence safely, reliably and in real-world conditions   This article was originally published at HCLTech’s website. It is reprinted here with the permission of HCL Tech. Key takeaways Physical AI is reaching an inflection point as intelligence moves into real-world systems

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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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