Evolution of Artificial Intelligence in Different Technical and Non-Technical Fields: A Review

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Evolution of Artificial Intelligence in Different Technical and Non-Technical Fields: A Review

Author 1- Mrs Ambika Shabadkar, Assistant Professor, VTU CPGS, Kalaburagi

Author 2- Dr Mohammed Abdul waheed, Professor, VTU CPGS, Kalaburagi

Abstract

In present era, artificial intelligence (AI) continues to evolve at an unprecedented pace, profoundly impacting a wide array of industries and societal domains. Advancements in generative AI, such as large language models and multimodal systems, have led to more human-like interactions and creative outputs, enhancing fields from content creation to customer service. AI-driven automation is reshaping industries like healthcare, finance,manufacturing, Streamlining processes, improving efficiency, and enabling real-time decision-making. Ethical concerns surrounding AI, such as bias, privacy, and job displacement, are gaining increasing attention, prompting calls for regulation and transparent governance. Additionally, AI's role in addressing global challenges, such as climate change and healthcare inequality, is expanding, with researchers leveraging machine learning for predictive analytics, sustainable solutions, and medical diagnosis. As AI continues to advance, the balance between innovation, regulation, and societal impact remains a key focus for policymakers, technologists, and the global community.

KEYWORDS: Artificial intelligence, Machine Learning, Large language models, Multimodal Models, Open AI, Convolution Neural networks.

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