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Trends and Emerging Technologies in AI

In: Sustained Simulation Performance 2019 and 2020

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  • Dennis Hoppe

    (Höchstleistungsrechenzentrum Stuttgart)

Abstract

The growth of artificial intelligence (AI) is accelerating. AI has left research and innovation labs, and nowadays plays a significant role in our everyday lives. The impact on society is graspable: autonomous driving cars produced by Tesla, voice assistants such as Siri, and AI systems that beat renowned champions in board games like Go. All these advancements are facilitated by powerful computing infrastructures based on HPC and advanced AI-specific hardware, as well as highly-optimized AI codes. In this paper, we will thus overview current and future trends in AI, as well as emerging technologies that drive AI innovation. We will spend a significant part on the ethical aspects that arose around AI whenever citizens interact with AI systems. This translates directly to key topics such as transparency, trustworthiness, and explainability of AI systems. This paper will therefore discuss several approaches of the new research field called explainable AI (XAI). Finally, we will present briefly AI-specific hardware that may find its way into HPC computing.

Suggested Citation

  • Dennis Hoppe, 2021. "Trends and Emerging Technologies in AI," Springer Books, in: Michael M. Resch & Manuela Wossough & Wolfgang Bez & Erich Focht & Hiroaki Kobayashi (ed.), Sustained Simulation Performance 2019 and 2020, pages 163-181, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-68049-7_12
    DOI: 10.1007/978-3-030-68049-7_12
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