A Comprehensive Review of Artificial Intelligence and Machine Learning : Concepts, Trends, and Applications

Akanksha Mishra

doi:10.32628/IJSRST2411587

Authors

Akanksha Mishra Guest Faculty, Department of CS & IT, MGCU, India Author

DOI:

https://doi.org/10.32628/IJSRST2411587

Keywords:

Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Supervised Learning, Unsupervised Learning, Reinforcement Learning, AI Trends, AI Applications

Abstract

This paper presents a comprehensive review of Artificial Intelligence (AI) and Machine Learning (ML), exploring foundational concepts, emerging trends, and diverse applications. AI and ML have rapidly evolved, becoming pivotal in numerous fields including healthcare, finance, manufacturing, and autonomous systems. The review begins by outlining key concepts, including the distinctions between AI, ML, and deep learning, and delves into various learning paradigms such as supervised, unsupervised, and reinforcement learning. It highlights significant advancements, such as neural networks, natural language processing, and generative models, emphasizing their impact on industry and research. The paper also examines current trends, including the rise of ethical AI, explain ability, and the integration of AI with Internet of Things (IoT) and edge computing, which are shaping the future landscape of AI applications. Additionally, it addresses the challenges and limitations associated with AI and ML, such as data privacy concerns, model interpretability, and the need for sustainable computing solutions. By synthesizing insights from recent literature, this review provides a holistic understanding of the AI and ML domains, offering perspectives on future directions and innovations. this review aims to provide a holistic understanding of AI and ML, offering perspectives on future directions and innovations.

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