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 .
5 Downloads 18 Views Citations Abstract Notwithstanding various media reports on casualties in systems due to the
emergence of COVID-19, it is envisaged to have a solution. By far, this study
investigates how countries’ bilateral trade relationship is distorted due to COVID-19. More so, it examines the
economic and financial divergence in systems from the capital perspectives.
Finally, it considers the changes in various industries that are affected
directly as a result of the COVID-19 outbreak and its distortion in the
business model. Employing a case study approach, we conclude that there is a
distortion in the supply chain system which has effects on trade relationships.
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