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Stanford Researchers Leverage Palladium for Disruptive Memristor Design

Let’s be honest, Moore’s Law may not be completely dead, but it will be on life support for a while. Gone are the days when performance could be improved “easily” by improving manufacturing processes or simply shrinking transistor size. Recently, R&D teams trying to improve the performance of semiconductors year by year must extend their reach not only to the transistor architecture itself, but also to materials engineering. Exploring the elements present in the periodic table could give semiconductors designs that are smarter, smaller and more energy efficient than silicon. Currently, the research team with the Stanford University School of Engineering is turned into one of the most precious metals on earth – Palladium – as a potential location for faster, cooler and more energy efficient memory architectures.

The research team’s approach is based on the premise that we have moved on from the Internet age and are already entering the AI ​​age. According to Shang Wang, an engineering professor at Stanford University, Leland T. Edwards, the idea behind the study is “the edge of training locally on your home computer, cell phone, or smartwatch in case of a heart attack or similar. Enable the above AI.” detection or speech recognition. ”

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