SKU/Artículo: AMZ-B0C6BSSCPZ
Decoding Intelligence: Exploring the AI Path: From Algorithms to Sentient AGI
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.46 kg
0.46 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- For those who seek answers to questions of what, why, when, who, and how in Artificial Intelligence, this book is for you. In this comprehensive exploration of artificial intelligence (AI), its capabilities, and its implications, readers are guided through a diverse range of topics – from the birth of AI, to the control problem, the AI-generated art and copyright issues, and the future of artificial general intelligence (AGI). Starting with an introduction that explains the relevance of AI and introduces key concepts like the Turing Test, AGI, and artificial superintelligence (ASI), the book sets the tone for an in-depth analysis of AI.Chapter One dives into the development of AI, introducing foundational technologies like machine learning and data science. The chapter also discusses the potential of AI to create novel solutions and the role of cognitive capabilities in AGI.Chapter Two elaborates on how to use generative AI, discussing the context of labor and capital and the intricacies of interacting with generative AI. This section includes practical tips, such as how to prompt the AI, and discusses the ethical implications of data ownership.Chapter Three focuses on the intersection of AI and art. The chapter explores the blurred lines of authorship in AI-generated content and discusses the legalities and limitations associated with copyright and AI-generated content.Chapter Four provides a series of case studies on how generative AI is revolutionizing various fields, including medicine, astronomy, and agriculture. The chapter also highlights AI's role in combating misinformation and discusses its potential effects on personal income and job markets.Chapter Five delves into the societal impact of AI. This chapter discusses AI's impact on parenting, communication, social relationships, and mental health. It also addresses issues related to privacy, data collection, and the potential risks of bias and discrimination in AI systems.Chapter Six introduces the transition from transformers to hyenas in the realm of AI technology. It explores the limitations of transformer models and suggests a new architecture, the Hyena Hierarchy, as a solution for improving language learning models.The final chapter, Chapter Seven, gazes into the future of AGI. It discusses leading researchers, significant milestones in AGI research, and potential scenarios surrounding AGI's development. The chapter also covers ethical issues and challenges in AGI development and suggests ways to prepare for a future with AGI. This book is an essential read for anyone interested in AI. Its wide coverage of topics ensures a comprehensive understanding of the field and its implications. By the end of the book, readers will have a clear grasp of AI's past, present, and potential future.
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AR$61.181
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AR$31.375
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