医疗保健领域的人工智能:我们是否已经完成了从虚构到现实的过渡?

Amit Solanki, Karanpreet Nahar, Hanuman Meena
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引用次数: 0

摘要

“人的能力超出了他的能力”,这句耳熟能详的话在当今世界比过去更常被检验。随着现代计算科学的出现,人类赋予了机器令人生畏的智能,以至于昨天的科幻小说成为了当今的现实。智能家居和办公空间配备了可以精确运行和运行的设备,无需人为干预。所有这一切都是通过利用数字化数据、云存储和人工智能(AI)的技术实现的。虽然数字化数据和云计算已经被讨论了很长时间,但人工智能最近随着深度神经网络(DNN)算法的出现而浮出水面。Yoshua Bengio、Geoff Hinton和Yann LeCun三人组为语音识别和机器视觉开发了深度学习和神经网络的基础。他们获得了2018年的图灵奖,被公认为“计算领域的诺贝尔奖”,证明了这项技术在当今世界的重要性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence in health care: Have We Made the transition from fiction to reality?
“Man’s reach exceeds his grasp,” a familiar phrase been put to test more often in contemporary world than in the previous. With the advent of modern computational sciences, humans have empowered machines with intimidating intelligence, so much so that the science fictions of yesterdays are palpable realities of present times. Smart homes and office spaces are equipped with devices that could run and function with precision and without human intervention. All this has been made possible by technologies that make use of digitized data, cloud storage, and artificial intelligence (AI). While digitized data and cloud computing have been talked about for a long time, AI surfaced to prominence recently with advent of deep neural networking (DNN) algorithms. The researcher trio of Yoshua Bengio, Geoff Hinton, and Yann LeCun developed the fundamentals of deep learning and neural networking for speech recognition and machine vision. They were awarded the 2018 Turing award, recognized as the “Nobel prize of computing” substantiating the importance of this technology in today’s world.[1]
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