Improving the Performance and Functionality of AI and Machine Learning in Electronic Devices and Systems

Sheryl Radley*, K. P. Ajitha Gladis**
* Meenakshi College of Engineering, Chennai, Tamil Nadu, India.
** Department of Information Technology, C.S.I Institute of Technology, Thovalai, Tamil Nadu, India.
Periodicity:September - November'2022


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.


Artificial Intelligence, Machine Learning, Electronic Devices and Systems, Decision-Making Systems, Algorithms.

How to Cite this Article?

Radley, S., and Gladis, K. P. A. (2022). Improving the Performance and Functionality of AI and Machine Learning in Electronic Devices and Systems. i-manager's Journal on Electronics Engineering, 13(1), 26-38.


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