Improving the performance and functionality of AI and machine learning in electronic devices and systems

R. Sheryl, Gladis K. P. Ajitha
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引用次数: 0

Abstract

The goal of this research is to enhance the performance and functionality of Artificial Intelligence (AI) and Machine Learning (ML) in electronic devices and systems. Electronic devices and systems have become an integral part of our lives, with an increasing amount of data being generated and processed. The integration of AI and ML technologies in these devices and systems can significantly improve their performance, efficiency, and user experience. The research will focus on developing new algorithms, improving existing ones, or finding new ways to integrate AI and ML into electronic devices and systems. Areas of focus may include image and speech recognition, natural language processing, and decision making. In conclusion, this research aims to improve the performance and functionality of AI and ML in electronic devices and systems by developing new algorithms, improving existing ones, and finding new ways to integrate AI and ML into these devices and systems. The ultimate goal is to make electronic devices and systems more intelligent, efficient, and useful for users.
提高电子设备和系统中人工智能和机器学习的性能和功能
本研究的目标是增强电子设备和系统中人工智能(AI)和机器学习(ML)的性能和功能。随着越来越多的数据被生成和处理,电子设备和系统已经成为我们生活中不可或缺的一部分。在这些设备和系统中集成AI和ML技术可以显着提高其性能,效率和用户体验。研究将侧重于开发新算法,改进现有算法,或寻找将人工智能和机器学习集成到电子设备和系统中的新方法。重点领域可能包括图像和语音识别,自然语言处理和决策制定。总之,本研究旨在通过开发新算法、改进现有算法以及寻找将AI和ML集成到这些设备和系统中的新方法来提高AI和ML在电子设备和系统中的性能和功能。最终目标是使电子设备和系统对用户更智能、更高效、更有用。
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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