Machine Learning: A Multifaceted Exploration of Trends, Regulations, and Global Impact

Rishwinder Singh Baidwan*, Tusharika Singh**, Santosh Kumar***, Rakesh Kumar****
*-** Department of Computer Science and Engineering, Chandigarh Group of Colleges, Landran, Mohali, Punjab, India.
*** Department of Mechanical Engineering, Chandigarh Group of Colleges, Landran, Mohali, Punjab, India.
**** Department of Regulatory Affairs and Quality Assurance, Auxein Medical Pvt. Ltd. Sonipat, Haryana, India.
Periodicity:July - September'2024
DOI : https://doi.org/10.26634/jfet.19.4.20913

Abstract

The field of Machine Learning (ML) demands a comprehensive exploration encompassing research advancements, industry applications, and emerging regulatory considerations. This article delves into these multifaceted aspects, identifying key trends and challenges that are shaping the landscape of ML. The literature reveals that machine learning is rapidly transforming various industries. For instance, in healthcare, ML algorithms achieve accuracy rates exceeding 90% in medical image analysis, leading to earlier diagnoses and improved patient outcomes. Similarly, in nanotechnology, ML is employed to design and optimize novel materials, enhancing properties by approximately 50% compared to traditional methods. However, the ethical and legal implications of Artificial Intelligence (AI) and machine learning necessitate careful consideration. The article explores ongoing discussions surrounding regulations and responsible development in this domain. By offering a comprehensive perspective that integrates advancements, applications, and regulatory considerations, this analysis aims to serve as a valuable resource for academics and policymakers navigating the complexities and opportunities associated with machine learning.

Keywords

Machine Learning, Artificial Intelligence, Opportunities, Applications,Industry Applications, Research Advancements.

How to Cite this Article?

Baidwan, R. S., Singh, T., Kumar, S., and Kumar, R. (2024). Machine Learning: A Multifaceted Exploration of Trends, Regulations, and Global Impact. i-manager’s Journal on Future Engineering & Technology, 19(4), 33-63. https://doi.org/10.26634/jfet.19.4.20913

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