Introduction to Artificial Intelligence (AI)

Publication Date

3-4-2024

Document Type

Book

Publication Title

Introduction to Artificial Intelligence (AI)

First Page

1

Last Page

65

Abstract

Introduction to Artificial Intelligence (AI) provides a comprehensive overview of the latest trends in artificial intelligence. The book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics. The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities. Overall, the book is an essential read for anyone who wants to stay ahead of the curve in the rapidly evolving field of AI and understand the impact that this transformative technology will have on our lives in the coming years.

Keywords

Affective computing deep learning, Autoencoders, Autonomic computing, Autoregressive models, ChatGPT, Computer vision, Conditional automation, Convolutional neural networks, Deep learning, Driver assistance, Feedforward. neural networks, Full automation, Generative adversarial networks (GANs), Generative AI, High automation, Limited memory, Long short-term memory networks, Machine learning, Natural language generation (NLG), Partial automation, Quantum computing, Reactive machines, Recurrent neural networks, Self-aware, Theory of mind, Variational autoencoders (VAEs)

Department

General Engineering

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