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Deep Learning Architectures and Applications

Year: 2026

Type: article

Abstract: Deep Learning has revolutionized Artificial Intelligence by enabling machines to learn complex patterns from massive datasets. This article examines the architectures of Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers, highlighting their applications in healthcare, education, and sustainability. It emphasizes the leadership role in adopting these technologies responsibly, ensuring ethical innovation, and fostering inclusive digital futures.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.22702872

Author: Rahman, Hakikur

Institution: International Standard University

Language: English

Topic: Artificial Intelligence Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7212243430

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