
BOOKS - Artificial Intelligence and Machine Learning for Smart Community

Artificial Intelligence and Machine Learning for Smart Community
Author: T.V. Ramana, G.S. Pradeep Ghantasala, R. Sathiyaraj, Mudassir Khan
Year: 2024
Pages: 182
Format: PDF
File size: 10.1 MB
Language: ENG

Year: 2024
Pages: 182
Format: PDF
File size: 10.1 MB
Language: ENG

Artificial Intelligence and Machine Learning for Smart Community The world is rapidly changing, and technology is evolving at an unprecedented rate. The development of artificial intelligence (AI) and machine learning (ML) has transformed the way we live, work, and interact with each other. These technologies have the potential to revolutionize many aspects of our lives, from healthcare and education to transportation and entertainment. However, there is also concern about their impact on society, particularly in terms of job displacement and privacy invasion. In this article, we will explore the current state of AI and ML, their potential applications in smart communities, and the ethical considerations surrounding their use. Need to Study and Understand the Process of Technology Evolution To fully understand the implications of AI and ML, it is essential to study and understand the process of technology evolution. This involves examining how these technologies have developed over time, the driving forces behind their development, and the challenges that lie ahead. By doing so, we can better appreciate the opportunities and risks associated with AI and ML and make informed decisions about their use in smart communities. One of the key drivers of AI and ML development is the increasing availability of data. With the proliferation of sensors, social media, and other digital devices, vast amounts of data are being generated every day. This data can be used to train AI algorithms and improve their performance, leading to more accurate predictions and better decision-making. Additionally, advances in computing power and storage capacity have enabled researchers to process larger and more complex datasets than ever before, further accelerating the development of AI and ML.
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