A research team, co-led by researchers from the City University of Hong Kong (CityU), has achieved a significant breakthrough by transforming all-inorganic perovskites at room temperature while preserving their functional properties intact.
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Artificial visual system of record-low energy consumption for the next generation of AI
A joint research led by
City University of Hong Kong (CityU) has built an ultralow-power consumption artificial visual system to mimic the human brain, which successfully performed data-intensive cognitive tasks. Their experiment results could provide a promising device system for the next generation of artificial intelligence (AI) applications.
The research team is led by
Professor Johnny Chung-yin Ho, Associate Head and Professor of the Department of Materials Science and Engineering (MSE) at CityU. Their findings have been published in the scientific journal
Science Advances, titled
Artificial visual system enabled by quasi-two-dimensional electron gases in oxide superlattice nanowires .