Eaglerise has introduced its new three-phase socketed LED driver, specifically designed for architectural lighting projects.
Thanks to its socket-based structure, the driver enables fast installation and easy maintenance, saving time during setup and eliminating potential wiring errors.
With its three-phase power input, the driver ensures balanced load distribution and supports long-term, reliable operation. It is particularly well suited for applications such as retail lighting, supermarkets, and museums, where it also contributes to a clean and aesthetic lighting design.
Inventronics has announced two new additions to its outdoor LED driver portfolio: the 150W IT 0-10 150/100-277 P67 and the 240W IT 0-10 240/100-277 P67 programmable drivers. With this new series, the company aims to establish a new benchmark in street and area lighting in terms of performance, efficiency, and durability.
5 kW GaN-Based AC/DC Reference Design from EPC for AI Servers and Data Centers EL SEGUNDO, California — October 2025 — Efficient Power Conversion Corporation (EPC), the world leader in enhancement-mode gallium nitride (eGaN®) power devices, has announced a high-efficiency, high-power-density 5 kW AC-to-48 V DC GaN reference design developed to meet the demands of AI servers and next-generation data center power architectures.
Sensirion has officially announced its next-generation SEN65 and SEN63C sensor platforms, designed to make indoor air quality measurement easier and more accurate than ever before. In addition, the SEK-SEN63C evaluation kit is now available for purchase, enabling developers and system integrators to quickly test and evaluate the new sensor family. Initial orders can be placed immediately.
The long-awaited beta release of Vitis AI 5.1 from AMD has been announced, marking the beginning of a major architectural shift that significantly advances edge AI inference capabilities.
With 44 years of experience, Empa Elektronik, a trusted and pioneering company in the electronic components industry, is set to make transformative investments in the technology ecosystem through its collaboration with Fark Labs, a global innovation and transformation center.
In a comparative study of Auto-ML platforms designed to simplify edge AI deployment, NanoEdge AI Studio and Edge Impulse emerged as leading solutions [1]. The comparison was conducted using multi-sensor biomedical data applied to predictive maintenance use cases.
In shopping malls, galleries, and large-scale commercial spaces, the stability and intelligence of lighting systems are among the most critical factors directly influencing user experience.
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