Utilizing machine learning techniques and models, AI enables computers to learn from data and enhance their performance over time. Deep learning, a subset of machine learning, employs networks with layers to uncover complex patterns from extensive datasets, transforming tasks such as image recognition, natural language processing, and self-driving cars. The advent of Generative AI marks a significant milestone in the evolution of Artificial Intelligence. Building upon the foundations of traditional AI, Generative AI has revolutionized the landscape by enabling machines to create, innovate, and learn from vast amounts of data. Generative AI explores the use of generative adversarial networks to create content like images, music, and text. Applications such as language translation, sentiment analysis, and chatbots rely on natural language processing (NLP) to help machines understand, interpret, and generate language effectively. This survey paper provides an overview of AI concepts and underlines their significance in various domains.cy. This article investigates the security and privacy implications of AI in our daily lives.

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Artificial Intelligence Evolution: The Rise of Generative AI

  • Amber Williams,
  • Dextany Hatfield,
  • Bharat S. Rawal

摘要

Utilizing machine learning techniques and models, AI enables computers to learn from data and enhance their performance over time. Deep learning, a subset of machine learning, employs networks with layers to uncover complex patterns from extensive datasets, transforming tasks such as image recognition, natural language processing, and self-driving cars. The advent of Generative AI marks a significant milestone in the evolution of Artificial Intelligence. Building upon the foundations of traditional AI, Generative AI has revolutionized the landscape by enabling machines to create, innovate, and learn from vast amounts of data. Generative AI explores the use of generative adversarial networks to create content like images, music, and text. Applications such as language translation, sentiment analysis, and chatbots rely on natural language processing (NLP) to help machines understand, interpret, and generate language effectively. This survey paper provides an overview of AI concepts and underlines their significance in various domains.cy. This article investigates the security and privacy implications of AI in our daily lives.