Advancing Artificial Intelligence Through Machine Learning: Exploring Novel Architectures, Algorithmic Innovations and Real-World Applications for Transformative Impact

• Author(s): Manjeet Malaga
• Paper ID: 1703908
• Page: 332-351
• Published Date: 31-12-2022
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 6 Issue 6 December-2022

Abstract

Several years have seen the tremendous development of AI technology that has transformed markets and economies and redefined human interactions. Thus, this paper focuses on the modern trends of AI discoveries and the changes incorporated into different fields in recent years. The most important branches of AI technologies such as deep learning methods, natural language processing, and generative adversarial networks have taken AI applications to new heights. These have created accurate diagnostics in health, empowered finance with predictive models, and self-driving cars worldwide. But on the flip side, the emergence of AI has seen discrete evolution which presents ethical and social concerns. The problem-solving of bias, data security, and the management of the tension between process automation and the human workforce are three crucial issues. The future trends to consider include explainability, federated learning, and AI integration at edge applications. Another field that also looks set to revolutionize the range of AI algorithms and performance is quantum computing. However, there are still some issues in this respect Some of them are discussed below: The search for generalized AI models goes on but data quality and domain invariance are still issues. The administration and participation approaches define the ethical and policy impact of AI on technology and society. In this paper, the authors discuss the details of the latest developments in AI, their functioning, consequences, and possible future trends. Analyzing the advantages and risks, we emphasize the potential for constructive AI and meaningful terms with citizens, on the one hand, while maintaining reference to ethical parameters on the other.

Keywords

Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Neural Network Architectures, Algorithmic Innovations, Real-World AI Applications, Transformer Models, Reinforcement Learning.

Citations

IRE Journals:
Manjeet Malaga "Advancing Artificial Intelligence Through Machine Learning: Exploring Novel Architectures, Algorithmic Innovations and Real-World Applications for Transformative Impact" Iconic Research And Engineering Journals Volume 6 Issue 6 2022 Page 332-351

IEEE:
Manjeet Malaga "Advancing Artificial Intelligence Through Machine Learning: Exploring Novel Architectures, Algorithmic Innovations and Real-World Applications for Transformative Impact" Iconic Research And Engineering Journals, 6(6)