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; […]
Why On-device AI Matters Read More +
On March 19, 2026, at 1:00 pm EDT (10:00 am PDT) Boston.AI will deliver a webinar “Intelligent Driver Development with LLM Context Engineering ” From the event page: Developing even simple sensor drivers can consume valuable engineering time, requiring manual transcription of registers from datasheets into code—an error-prone and repetitive process. In this webinar, you’ll
Upcoming Webinar on LLM-driven Driver Development Read More +
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
From ADAS to Robotaxi: How to Overcome the Major Vision Challenges Read More +
Hsinchu, Taiwan – February 26, 2026 – The collaboration between 10xEngineers, a services company specializing in AI compilers, and Andes Technology Corporation, a leading provider of high-performance, low-power 32- and 64-bit RISC-V processor IP and a Founding Premier Member of RISC-V International, delivers first-class AI workload compilation for Andes AX46MPV cores using 10xEngineers’ AI graph compiler, Baltoro. This collaboration enables
10xEngineers and Andes Enable High-Performance AI Compilation for RISC-V AX46MPV Cores Read More +
Take a look at the Renesas flagship MCU, RA8P1, featuring a 1GHz ARM Cortex-M85 and Ethos-U55 NPU. Here we are showcasing one facial detection demo using YOLO and a Wheat Disease Detection demo, in partnership with Moschip.
Edge AI and Vision on Renesas RA8P1 MCU Read More +
February 24, 2026, Seoul, — As a premier multimedia IP provider, Chips&Media is proud to announce the strategic expansion of the WAVE-N ecosystem – our next-generation customized NPU architecture. Key Objectives: Strategic Partnerships: Cultivating alliances with leading AI-based imaging network providers IP Integration: Merging our silicon-proven WAVE-N IP with pre-evaluated, high-performance AI networks Customer-Centric Innovation: Providing clients with access to
This market analysis was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. The world’s largest consumer electronics conference demonstrated the technical synergies between automotive and robotics. At CES 2026, there was a clear cross-sector message: Physical AI is the common language across the automotive, robotaxi
CES 2026: Physical AI moves from concept to system architecture Read More +
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
The Forest Listener: Where edge AI meets the wild Read More +
Noida, India, February 20, 2026 — HCLTech, a leading global technology company, today unveiled VisionX 2.0, an upgraded version of its multi-modal AI edge platform. This platform delivers real-time intelligence, enhanced safety and operational efficiency at scale for mission-critical industrial environments. VisionX 2.0 builds on HCLTech’s award-winning Intelligent Secure Edge capabilities, integrating advanced computer vision, vision language
HCLTech unveils VisionX 2.0, a next-gen multi-modal AI Edge Platform with NVIDIA Read More +
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
How Lenovo is scaling Level 4 autonomous robotaxis on Arm Read More +
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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