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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: March 2026
Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21574
Article Published : 8528
Total Authors : 22430
Total Reviewer : 805
Total Countries : 159
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| Paper Title: | Major Themes in Artificial Intelligence, Machine Learning, and Deep Learning |
| Authors Name: | Gurwinder Singh , Dhruv Vaish |
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IJRTI_208019
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| Published Paper Id: | IJRTI2511178 |
| Published In: | Volume 10 Issue 11, November-2025 |
| DOI: | |
| Abstract: | Artificial intelligence has evolved from early rule based systems to modern data centric approache driven by machine learning and deep learning. This paper review major themes that characterize this progression, including foundational modeling frameworks, architectural trends, and domain-specific applications. Classical ML techniques continue to support interpretable decision-making in structured data settings, while DL architectures—such as convolutional networks, recurrent models, and Transformers—enable automatic feature learning and superior performance in high-dimensional tasks. Recent literature demonstrates rapid integration of these methods across healthcare, finance, and communication networks, alongside growing attention to challenges such as data constraints, computational demands, model transparency, and ethical deployment. The review highlights emerging directions including hybrid modeling, privacy-preserving learning, robustness evaluation, and energy-efficient AI. Together, these themes illustrate an increasingly mature field balancing technical innovation with responsible use. |
| Keywords: | Machine Learning Deep Learning Neural Networks AI Applications in Healthcare AI-Driven Financial Modeling Communication and Networked AI Systems Ethical and Responsible AI Data Requirements and Management Hybrid and Multi-Model AI Approaches |
| Cite Article: | "Major Themes in Artificial Intelligence, Machine Learning, and Deep Learning", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 11, page no.b713-b717, November-2025, Available :http://www.ijrti.org/papers/IJRTI2511178.pdf |
| Downloads: | 000180 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2511178
Registration ID:208019
Published In: Volume 10 Issue 11, November-2025
DOI (Digital Object Identifier):
Page No: b713-b717 Country: Amritsar, Punjab, India Research Area: Science Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2511178 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2511178 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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