Blog Posts

ERGO: Efficient High-Resolution Visual Understanding for Vision-Language Models

This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Key Takeaways: Efficient coarse-to-fine pipeline: A two-stage reasoning pipeline that first processes low-resolution inputs to identify task-relevant regions and then re-encodes them at higher resolution, reducing computational cost while preserving essential information. Reward for reasoning-driven perception: […]

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Edge Container Registries Explained: How to Distribute Images Reliably at Scale

This blog post was originally published at Avassa’s website. It is reprinted here with the permission of Avassa. A mostly hidden piece of the container application puzzle is the image registry. If you’ve used Linux containers, you’ve come across one: it’s where container images are stored. Registries can be public (like Docker Hub) or private,

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RTOS vs. Bare-Metal: Decision Matrix Tool for Projects Based on High-End Microcontrollers

This blog post was originally published at eInfochips’ website. It is reprinted here with the permission of eInfochips. Introduction When building a system with a powerful microcontroller (MCU) or microprocessor, such as an ARM Cortex-M4, M7, R5, RXv3, A15, or A53—one of the key decisions developers face is whether to use bare-metal programming or a

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From ADAS to Robotaxi: How Vision Systems Must Level Up to Meet New Mobility Use Cases (Part 2)

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Key Takeaways How urban lighting and motion define robotaxi imaging needs Which camera features support reliable perception during day and night operation Why unified AI vision boxes reduce latency and coordination gaps How integrated vision platforms

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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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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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From ADAS to Robotaxi: How to Overcome the Major Vision Challenges

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Key Takeaways Why does robotaxi vision need more than task-driven ADAS sensing? Impact of long-duty operation and changing lighting on perception reliability Challenges faced across vehicles, cities, and operating conditions How visual data continuity affects

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HTEC Research Reveals the Real AI Scaling Challenge: It’s Not the Technology

This blog post was originally published at HTEC’s website. It is reprinted here with the permission of HTEC.   AI has moved from ambition to action. Every organization is deploying it. Yet for most enterprises, the real challenge is only just beginning. Today, HTEC, a global AI‑first provider of software and hardware design and engineering services,

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The Forest Listener: Where edge AI meets the wild

This blog post was originally published at Micron’s website. It is reprinted here with the permission of Micron. Let’s first discuss the power of enabling. Enabling a wide electronic ecosystem is essential for fostering innovation, scalability and resilience across industries. By supporting diverse hardware, software and connectivity standards, organizations can accelerate product development, reduce costs and

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How Lenovo is scaling Level 4 autonomous robotaxis on Arm

This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. As L4 robotaxis shift from pilot to production, Arm offers the compute foundation needed to deliver end-to-end physical AI that scales across vehicle fleets. After years of autonomous driving pilots and controlled trials, the automotive industry is moving toward the production-scale deployment of Level 4 (L4) robotaxis. This marks

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