
BOOKS - Toward Artificial General Intelligence Deep Learning, Neural Networks, Genera...

Toward Artificial General Intelligence Deep Learning, Neural Networks, Generative AI
Author: Victor Hugo C. de Albuquerque, Pethuru Raj, Satya Prakash Yadav
Year: 2024
Pages: 424
Format: PDF | EPUB | MOBI
File size: 10.1 MB
Language: ENG

Year: 2024
Pages: 424
Format: PDF | EPUB | MOBI
File size: 10.1 MB
Language: ENG

Book Description: In this book, we explore the frontiers of artificial intelligence (AI) research, focusing on deep learning and generative AI. We examine the current state of the field, discussing the challenges and opportunities that come with the development of these technologies. We also delve into the ethical implications of these advancements and their potential impact on society. The book provides a comprehensive overview of the current state of AI research, including the latest developments in deep learning and generative AI, and offers insights into the future of AI and its potential applications. Book Outline: Introduction Chapter 1: The Evolution of Technology * The history of AI and its evolution * The current state of AI research * The challenges and opportunities of AI development Chapter 2: Deep Learning * An overview of deep learning * Applications of deep learning * Advantages and limitations of deep learning Chapter 3: Generative AI * An overview of generative AI * Applications of generative AI * Advantages and limitations of generative AI Chapter 4: Ethics and Implications * The ethical implications of AI development * The potential consequences of AI on society * The need for responsible AI development Conclusion Book Description: Toward Artificial General Intelligence Deep Learning Neural Networks Generative AI is an in-depth exploration of the cutting-edge technologies that are shaping the future of artificial intelligence.
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