AI Chips & Infrastructure
UC Merced Uses AI to Find Energy-Saving Tech Materials
Researchers develop sustainable topological materials to lower the massive power demands of AI data centers.
A high-tech laboratory monitor displaying digital models of topological material structures with a researcher in the background.
Photo: Kronos News
A research team led by the University of California, Merced, is utilizing artificial intelligence to discover new topological materials [1]. These materials are unique for their ability to switch electronic states rapidly while consuming very little power [1]. The project seeks to address the growing energy demands of artificial intelligence data centers [1]. Researchers believe these sustainable materials could eventually power next-generation computing systems with significantly lower electricity needs [1]. By integrating AI into the discovery process, the multidisciplinary group aims to identify high-performance materials faster [1]. This development represents a shift toward more sustainable technology infrastructure [1].
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The story relies on a single primary source from the institution involved (UC Merced), which may present a promotional bias.
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Kronos News Desk covers ai chips & infrastructure and editorial analysis for Kronos News.