This comprehensive textbook offers a thorough introduction to the principles and techniques of Artificial Intelligence (AI). Covering topics such as problem-solving, knowledge representation, Machine Learning (ML), and robotics, the book provides both theoretical foundations and practical insights into AI algorithms and applications.
In this thought-provoking book, Bostrom explores the potential consequences of the development of superintelligent AI. He examines various scenarios, from transformative societal benefits to existential risks, and offers strategies for ensuring that AI development aligns with human values and interests.
Tegmark explores the societal and ethical implications of AI in this captivating book. Drawing on insights from physics, philosophy, and economics, he examines the possibilities of a future shaped by AI and proposes principles for steering its development in a direction that maximizes human flourishing.
Domingos presents a compelling vision of a unified learning algorithm capable of solving any problem. He discusses the five tribes of Machine Learning (ML) and argues for the importance of developing a “master algorithm” that can revolutionise fields ranging from healthcare to finance.
This authoritative textbook offers a comprehensive overview of Deep Learning, a subfield of Machine Learning (ML) that has revolutionised AI in recent years. Covering topics such as neural networks , convolutional networks, and recurrent networks, the book provides both theoretical foundations and practical insights.
O’Neil explores the dark side of AI and big data in this eye-opening book. She argues that algorithms, if not carefully designed and regulated, can perpetuate injustice and inequality, exacerbating societal problems rather than solving them.
Russell tackles the fundamental challenge of aligning AI with human values in this insightful book. He explores the risks posed by AI systems that pursue objectives misaligned with human goals and proposes a framework for ensuring that AI remains beneficial to humanity.
Broussard critiques the hype surrounding AI and exposes the limitations and biases of Machine Learning (ML)] algorithms in this enlightening book. She argues for a more realistic and nuanced understanding of AI’s capabilities and advocates for greater transparency and accountability in its development and deployment.
Lee provides a fascinating exploration of the global AI landscape, focusing on the rivalry between China and the United States. He offers insights into China’s rapid rise as an AI powerhouse and examines the implications for geopolitics, economics, and society.
Kurzweil explores the concept of the technological singularity, a hypothetical point in the future when AI surpasses human intelligence and fundamentally transforms civilisation. Drawing on insights from neuroscience, computer science, and futurism, he predicts a future of unprecedented technological progress and human enhancement.
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