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Deep insight: Navigating the horizons of deep learning in applications, challenges, and future frontiers

Rakesh Roshan, Om Prakash Rishi, Mothukuri Sridevi

Abstract

Deep learning, a powerful subset of artificial intelligence, has emerged as a transformative force shaping the landscape of technology. This research delves into the multifaceted realm of deep learning, exploring its diverse applications, confronting inherent challenges, and envisioning future prospects that beckon innovation. The journey begins with a comprehensive examination of how deep learning has catalyzed breakthroughs in various domains. In the realm of applications, the study meticulously dissects the impact of deep learning on natural language processing (NLP), computer vision, autonomous systems, medical and healthcare domains, financial forecasting, and more. From deciphering human language nuances to revolutionizing medical diagnostics and propelling autonomous vehicles, deep learning’s applications redefine the possibilities of artificial intelligence. As the exploration of applications and challenges unfolds, the research pivots towards the future horizons of deep learning. It contemplates the trajectory of explainable AI (XAI), the promises held by transfer learning, the integration of deep learning with quantum computing and neuromorphic architectures, and the ethical dimensions that will shape the evolution of AI for the greater good. The abstract encapsulates a panoramic view of “Deep Insight”, where deep learning transcends its current achievements, confronting challenges head-on and embracing a future characterized by responsible innovation. This research invites stakeholders, researchers, and enthusiasts to embark on a journey of exploration, discovery, and contemplation, as the realm of deep learning continues to unfold its vast and captivating horizons.


Keywords

deep learning; artificial intelligence; convolutional neural networks; explainable AI

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