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Effects of Deep Learning Technologies on Employment in the Field of Digital Communication Systems

机译:深层学习技术对数字通信系统领域就业的影响

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摘要

There are significant challenges and opportunities facing the economies of the United States in the coming decades of the 21st century that are being driven by elements of technological unemployment. Deep learning systems, an advanced form of machine learning that is often referred to as artificial intelligence, is presently reshaping many aspects of traditional digital communication technology employment, primarily network system administration and network security system design and maintenance. This paper provides an overview of the current state-of-the-art developments associated with deep learning and artificial intelligence and the ongoing revolutions that this technology is having not only on the field of digital communication systems but also related technology fields. This paper will also explore issues and concerns related to past technological unemployment challenges, as well as opportunities that may be present as a result of these ongoing technological upheavals.
机译:21世纪未来几十年,由技术失业要素推动的未来几十年面临着重大挑战和机遇。 深度学习系统,通常被称为人工智能的机器学习的先进形式,目前正在重塑传统数字通信技术的许多方面,主要是网络系统管理和网络安全系统的设计和维护。 本文概述了与深层学习和人工智能相关的当前最先进的发展以及该技术不仅在数字通信系统领域而且具有相关技术领域的持续革命。 本文还将探讨与过去技术失业挑战有关的问题和疑虑,以及由于这些正在进行的技术动荡可能存在的机会。

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