Machine learning for improve LED technology-LEDinside

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2018-10-23

Find the Most Efficient Phosphors for LED Lighting with New Algorithm

Researchers from the University of Houston have devised a new machine learning algorithm that can identify suitable materials for LED lighting. The new algorithm can be run on a personal computer and predict the properties of more than 100,000 compounds in search of those most likely to be efficient phosphors for LED lighting. The result of the research was published on October 22nd in Nature Communications.

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[News] Illinois, Daktronics Install Largest Video Display in College Football

The Fighting Illini turned to Daktronics (NASDAQ-DAKT) of Brookings, South Dakota, to design, manufacture and install the largest main video display in college football, totaling 17,300+ square feet. The project includes 16 LED displays that c... READ MORE

[News] Greater Safety in The Event of Breakdowns: ams OSRAM Supports Spain's Transition to Connected V16 Lights

Since January 1, 2026, drivers in Spain have been required to carry certified V16 warning lights on expressways and highways, which are directly connected to the traffic authorities when in use. With the LEDguardian ROAD FLARE Signal V16 IoT, ... READ MORE

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