Machine Intelligence in the Service of Human Intelligence

O. Namicheishvili, Jujuna Gogiashvili
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Abstract

Deep neural networks allow AI to achieve unprecedented levels of accuracy. For example, Alexa, Google Search and Google Photos are powered by deep learning, and the more we use these tools, the more effective they become. In healthcare, the diagnosis of cancerous tumors on MRI images using AI technologies (deep learning, image classification, object recognition) is as accurate as the findings of highly trained radiologists. AI makes it possible to get the most out of the data. With the advent of self-learning algorithms, the data itself becomes intellectual property. The data contains the answers you need – you just need to find them with the help of AI technology. As data is now more important than ever before, it can provide a competitive advantage. When using the same technology in a competitive environment, whoever has the most accurate data will win.
为人类智能服务的机器智能
深度神经网络使人工智能达到了前所未有的精确度。例如,Alexa、谷歌搜索和谷歌照片都是由深度学习驱动的,我们使用这些工具越多,它们就越有效。在医疗保健领域,使用人工智能技术(深度学习、图像分类、对象识别)对MRI图像上的癌性肿瘤进行诊断,其准确性与训练有素的放射科医生的诊断结果一样准确。人工智能可以最大限度地利用数据。随着自学习算法的出现,数据本身成为了知识产权。数据包含了你需要的答案——你只需要在人工智能技术的帮助下找到它们。由于数据现在比以往任何时候都更重要,它可以提供竞争优势。当在竞争环境中使用相同的技术时,谁拥有最准确的数据谁就会获胜。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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