Blog Posts

Driving the Future of Automotive AI: Meet RoX AI Studio

This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. In today’s automotive industry, onboard AI inference engines drive numerous safety-critical Advanced Driver Assistance Systems (ADAS) features, all of which require consistent, high-performance processing. Given that AI model engineering is inherently iterative (numerous cycles of ‘train, validate, and […]

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Production Software Meets Production Hardware: Jetson Provisioning Now Available with Avocado OS

This blog post was originally published at Peridio’s website. It is reprinted here with the permission of Peridio. The gap between robotics prototypes and production deployments has always been an infrastructure problem disguised as a hardware problem. Teams build incredible computer vision models and robotic control systems on NVIDIA Jetson developer kits, only to hit

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Proactive Road Safety: Detecting Near-Miss Incidents with AI Vision

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 the idea of near-miss incidents shapes proactive traffic safety programs Where near-miss detection strengthens future-ready intersections and highways How AI vision tracks movement, classifies conflict, and ranks severity Why imaging features such as

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OpenMV’s Latest: Firmware v4.8.1, Multi-sensor Vision, Faster Debug, and What’s Next

OpenMV kicked off 2026 with a substantial software update and a clearer look at where the platform is headed next. The headline is OpenMV Firmware v4.8.1 paired with OpenMV IDE v4.8.1, which adds multi-sensor capabilities, expands event-camera support, and lays the groundwork for a major debugging and connectivity upgrade coming with firmware v5. If you’re

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Faster Sensor Simulation for Robotics Training with Machine Learning Surrogates

This article was originally published at Analog Devices’ website. It is reprinted here with the permission of Analog Devices. Training robots in the physical world is slow, expensive, and difficult to scale. Roboticists developing AI policies depend on high quality data—especially for complex tasks like picking up flexible objects or navigating cluttered environments. These tasks rely

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How Edge Computing In Retail Is Transforming the Shopping Experience

Forward-looking retailers are increasingly relying on an in-store combination of data collection through IoT devices with various types of sensors, AI for decisions and transactions on live data, and digital signage to communicate results and allow for interaction with customers and store associates. The applications built on this data- and AI-centric foundation range from more

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Meet MIPS S8200: Real-Time, On-Device AI for the Physical World

This blog post was originally published at MIPS’s website. It is reprinted here with the permission of MIPS. Physical AI is the ability for machines to sense their environment, think locally, act safely, and communicate quickly without waiting on the cloud. In safety-critical scenarios like driver assistance or industrial robotics, milliseconds matter. That’s why MIPS’

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The Next Platform Shift: Physical and Edge AI, Powered by Arm

This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. The Arm ecosystem is taking AI beyond the cloud and into the real-world As CES 2026 opens, a common thread quickly emerges across the show floor: most of what people are seeing, touching, and experiencing is already built on Arm. Arm-based

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STM32MP21x: It’s Never Been More Cost-effective or More Straightforward to Create Industrial Applications with Cameras

This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. ST is launching today the STM32MP21x product line, the most affordable STM32MP2, comprising a single-core Cortex-A35 running at 1.5 GHz and a Cortex-M33 at 300 MHz. It thus completes the STM32MP2 series announced in 2023, which became our first 64-bit MPUs. After the

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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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