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The Path to AGI - John K. Thompson

The Path to AGI - John K. Thompson

  • Artificial General Intelligence Past, Present, and Future

Explore the history, current state, and path forward for all three fundamental areas of Artificial Intelligence (AI): Foundational AI, Generative AI, and Causal AI. 

When most people talk about AI, they are talking about Generative AI (GenAI). GenAI is useful and valuable and will drive significant value, but the field of AI is much more than GenAI. AI has been under active development for over 70 years. Read all about the nuances and differences in each of the three areas of AI. 

As AI moves towards larger and more comprehensive applications and solutions, we will see an evolution of all three areas of AI, and, at the same time, we will see a convergence of the three areas toward Composite AI.

Composite AI will be the state of the art for many years and possibly even decades. Composite AI will grow and evolve into Artificial General Intelligence (AGI). While AGI is an exciting theme for science fiction movies, it will not arrive in the next few years. The path to AGI will be long and challenging. We discuss the pragmatic and practical path in detail.

Business leaders and technologists need to understand where AI is moving. We will outline one of the most probable paths unfolding over the next few decades as we move toward AI being embedded in all systems and operations. AI will become a utility like electricity and water, but we have a long road of sophisticated development to navigate before we arrive at that point.

The Path to AGI is a reference book and guide for those interested in all types of AI and how these types will merge, integrate, and evolve into one of the most consequential technologies the world has ever seen.

Unravelling the past, present, and future of artificial intelligence with pragmatism and precision, John Thompson's "The Path to AGI" is an indispensable guide for business leaders seeking to understand the real capabilities, applications, and future trajectory of AI. John's decades of experience in analytics shine through as he navigates the Four Eras of AI, providing a roadmap to understanding the backdrop for today's AI revolution and the long journey ahead to true Artificial General Intelligence. Whether you are an industry leader, a technology enthusiast, or simply curious about how AI will shape our future, The Path to AGI is essential reading. Thoughtful, rigorous, and engaging, this book not only serves as a great reference but a lodestar for those navigating the ever-evolving landscape of AI.

Thomas Robinson, Chief Operating Officer, Domino Data Lab

This book has something for both the person already familiar with the development of AI and the novice just starting to learn about the field. In clear, narrative language, this book shows how AI has developed over time and the direction it is going. This would be a book I'd be put in front of students looking to be AI leaders in the future.

Cliff Lampe, Associate Dean for Academic Affairs at the University of Michigan School of Information

 



EAN: 9781634627016
Symbol
821HDL03527KS
Rok wydania
2025
Strony
418
Oprawa
Miekka
Format
15.2x22.9cm
Język
angielski
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Symbol
821HDL03527KS
Kod producenta
9781634627016
Rok wydania
2025
Strony
418
Oprawa
Miekka
Format
15.2x22.9cm
Język
angielski
Autorzy
John K. Thompson

Explore the history, current state, and path forward for all three fundamental areas of Artificial Intelligence (AI): Foundational AI, Generative AI, and Causal AI. 

When most people talk about AI, they are talking about Generative AI (GenAI). GenAI is useful and valuable and will drive significant value, but the field of AI is much more than GenAI. AI has been under active development for over 70 years. Read all about the nuances and differences in each of the three areas of AI. 

As AI moves towards larger and more comprehensive applications and solutions, we will see an evolution of all three areas of AI, and, at the same time, we will see a convergence of the three areas toward Composite AI.

Composite AI will be the state of the art for many years and possibly even decades. Composite AI will grow and evolve into Artificial General Intelligence (AGI). While AGI is an exciting theme for science fiction movies, it will not arrive in the next few years. The path to AGI will be long and challenging. We discuss the pragmatic and practical path in detail.

Business leaders and technologists need to understand where AI is moving. We will outline one of the most probable paths unfolding over the next few decades as we move toward AI being embedded in all systems and operations. AI will become a utility like electricity and water, but we have a long road of sophisticated development to navigate before we arrive at that point.

The Path to AGI is a reference book and guide for those interested in all types of AI and how these types will merge, integrate, and evolve into one of the most consequential technologies the world has ever seen.

Unravelling the past, present, and future of artificial intelligence with pragmatism and precision, John Thompson's "The Path to AGI" is an indispensable guide for business leaders seeking to understand the real capabilities, applications, and future trajectory of AI. John's decades of experience in analytics shine through as he navigates the Four Eras of AI, providing a roadmap to understanding the backdrop for today's AI revolution and the long journey ahead to true Artificial General Intelligence. Whether you are an industry leader, a technology enthusiast, or simply curious about how AI will shape our future, The Path to AGI is essential reading. Thoughtful, rigorous, and engaging, this book not only serves as a great reference but a lodestar for those navigating the ever-evolving landscape of AI.

Thomas Robinson, Chief Operating Officer, Domino Data Lab

This book has something for both the person already familiar with the development of AI and the novice just starting to learn about the field. In clear, narrative language, this book shows how AI has developed over time and the direction it is going. This would be a book I'd be put in front of students looking to be AI leaders in the future.

Cliff Lampe, Associate Dean for Academic Affairs at the University of Michigan School of Information

 



EAN: 9781634627016
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