Abstract The past decade has seen tremendous progress in the field of artificial intelligence thanks to the resurgence of neural networks through deep learning. This has helped improve the ability for computers to see, hear, and understand the world around them, leading to dramatic advances in the application of AI to many fields of science and other areas of human endeavor. In this essay, I examine the reasons for this progress, including the confluence of progress in computing hardware designed to accelerate machine learning and the emergence of open-source software frameworks to dramatically expand the set of people who can use machine learning effectively. I also present a broad overview of some of the areas in which machine learning has been applied over the past decade. Finally, I sketch out some likely directions from which further progress in artificial intelligence will come.

中文翻译：

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深度学习的黄金十年：计算系统和应用

摘要由于神经网络通过深度学习重新兴起，过去十年在人工智能领域取得了巨大进展。这有助于提高计算机看到、听到和理解周围世界的能力，从而导致人工智能在许多科学领域和人类努力的其他领域的应用取得巨大进步。在本文中，我研究了这一进步的原因，包括旨在加速机器学习的计算硬件的进步以及开源软件框架的出现，以显着扩大可以有效使用机器学习的人群。我还对过去十年中应用机器学习的一些领域进行了广泛的概述。最后，