As we straddle the New Year, let’s take one last look back at the top 20 Artificial Intelligence books that were released in 2020! The greatest works for bringing Technology know-how to the masses and those that have sought to influence the world with positivity and possibilities.
1. Girl Decoded
A Scientist’s Quest to Reclaim Our Humanity by Bringing Emotional Intelligence to Technology
by Rana el Kaliouby
In a captivating memoir, an Egyptian American visionary and scientist provides an intimate view of her personal transformation as she follows her calling—to humanize our technology and how we connect with one another.
To combat our fundamental loss of emotional intelligence online, Rana el Kaliouby cofounded Affectiva, the pioneer in the new field of Emotion AI, allowing our technology to understand humans the way we understand one another. “Girl Decoded” chronicles el Kaliouby’s journey from being a “nice Egyptian girl” to becoming a woman, carving her own path as she revolutionizes technology.
by Sagar Anisingaraju , Prasad Chaganti
Kuchela.AI is a narrative of a personal journey and self-realization. The book follows Krish, a Silicon Valley technologist, as he grows to understand the importance of ethics and social benefits in new technology. It is a novel of exploration of the boundless humane possibilities in artificial intelligence and of friendship and human values.
Is artificial intelligence meant for destruction or the uplifting of mankind?
3. Living with Frankenstein
The History and Destiny of Machine Consciousness
by Steven Schkolne
Living with Frankenstein vividly posits the controversial view that human and artificial intelligence are comparable. Steven Schkolne takes readers on a journey from the early history of computation, to a future where human and machine coexistence is not nearly as frightening as science fiction leads the public to believe.
4.Agricultural Internet of Things and Decision Support for Precision Smart Farming
by AnnamariaCastrignano, Gabriele Buttafuoco, Raj Khosla, Abdul Mouazen
Agricultural Internet of Things and Decision Support for Smart Farming” reveals how a set of key enabling technologies (KET) related to agronomic management, remote and proximal sensing, data mining, decision-making and automation can be efficiently integrated in one system. Chapters cover how KETs enable real-time monitoring of soil conditions, determine real-time, site-specific requirements of crop systems, help develop a decision support system (DSS) aimed at maximizing the efficient use of resources, and provide planning for agronomic inputs differentiated in time and space. This book is ideal for researchers, academics, post-graduate students and practitioners who want to embrace new agricultural technologies.
5. The Singularity is Near
When Humans Transcend Biology
by Ray Kurzweil
From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning–to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear.
6. The Book of Why
The New Science of Cause and Effect
by Judea Pearl
Judea Pearl’s work enables us to know not just whether one thing causes another: It lets us explore the world that is and the worlds that could have been. It shows us the essence of human thought and key to artificial intelligence. Anyone who wants to understand either needs “The Book of Why”.
7.The Master Algorithm
How the Quest for the Ultimate Learning Machine Will Remake Our World
by Pedro Domingos
This is something new under the sun: a technology that builds itself. In “The Master Algorithm”, Pedro Domingos reveals how machine learning is remaking business, politics, science and war. And he takes us on an awe-inspiring quest to find ‘The Master Algorithm’ – a universal learner capable of deriving all knowledge from data.
8. The Hundred-Page Machine Learning Book
by Pedro Domingos
The field of machine learning is vast, hence traditional books being far more than 100-pages. But “The Hundred-Page Machine Learning Book” covers what you should know as it pertains to Supervised Learning, Unsupervised Learning, Semi-supervised Learning, and Reinforcement Learning.
9. Competing in The Age of AI
Strategy and Leadership When Algorithms and Networks Run the World
by Marco Iansiti, Karim R. Lakhani
From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning–to drive ever more accurate, complex, and sophisticated predictions.
When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear.
10. A World Without Work
Technology, Automation, and How We Should Respond
by Daniel Susskind
From mechanical looms to the combustion engine to the first computers, new technologies have always provoked panic about workers being replaced by machines. For centuries, such fears have been misplaced, and many economists maintain that they remain so today. But as Daniel Susskind demonstrates, this time really is different. Breakthroughs in artificial intelligence mean that all kinds of jobs are increasingly at risk.
This is not necessarily a bad thing. Technological progress could bring about unprecedented prosperity, solving one of humanity’s oldest problems: how to make sure that everyone has enough to live on, to provide meaning in a world where work is no longer the center of our lives. “A World Without Work” shows the way.
11. Machine Learning
by Tom M. Mitchell
This textbook provides a single source introduction to the primary approaches to machine learning. It is intended for advanced undergraduate and graduate students, as well as for developers and researchers in the field. No prior background in artificial intelligence or statistics is assumed. “Machine Learning” covers very recent subjects such as genetic algorithms, re-enforcement learning and inductive logic programming.
12. T-Minus AI
Humanity’s Countdown to Artificial Intelligence and the New Pursuit of Global Power
by Michael Kanaan
Michael Kanaan explains the realities of AI from a human-oriented perspective that’s easy to comprehend. A recognized national expert and the U.S. Air Force’s first Chairperson for Artificial Intelligence, Kanaan weaves a compelling new view on our history of innovation and technology to masterfully explain what each of us should know about modern computing, AI, and machine learning.
13. Intelligent Automation
Learn How to Harness Artificial Intelligence to Boost Business and Make Our World More Human
by Pascal Bornet, Ian Barkin, Jochen Wirtz
This is the first reference book on Intelligent Automation (IA). It is one of the most recent trends in the field of artificial intelligence. IA is a cutting-edge combination of methods and technologies, involving people, organizations, machine learning, low-code platforms, robotic process automation (RPA), and more.
This book is for everyone – whether you are an experienced practitioner, new to the topic, or simply interested in what the future holds for enterprises, work, life, and society as a whole.
14. The Alignment Problem
Machine Learning and Human Values
by Brian Christian
“The Alignment Problem” offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture―and finds a story by turns harrowing and hopeful.
15.The Age of AI
by Jason Thacker, Richard J. Mouw
Are robots going to take my job? How are smartphones affecting my kids? Do I need to worry about privacy when I get online or ask Siri for directions? Whatever questions you have about AI, “The Age of AI” gives you insights on how to navigate this brand-new world as you apply God’s ageless truths to your life and future.
16. Sex, Race, and Robots
How to be Human in the Age of AI
by Dr. Ayanna Howard
The danger of bias in our AI-powered machines has never been greater. Governments are using supercomputers to track COVID-19 patients. AI is being employed to monitor Black Lives Matter protests. Voice recognition systems have been rolled out that can’t hear female voices. Dr. Howard delivers a stirring warning about the risks of AI and robots – but also offers an uplifting message about empowerment and where we need to go next.
17. Introduction to Artificial Intelligence
by Philip C Jackson
Can computers think? Can they use reason to develop their own concepts, solve complex problems, play games, understand our languages? This comprehensive survey of artificial intelligence ― the study of how computers can be made to act intelligently ― explores these and other fascinating questions.
Physics, Blockchains, and Deep Learning Smart Networks (Between Science and Economics Book 2)
by Melanie Swan, Frank Witte, Renato P Dos Santos
This book provides insight as to how quantum information science as a paradigm shift in computing may influence other high-impact digital transformation technologies, such as blockchain and machine learning. Smart networks refer to the idea that the internet is no longer simply a communications network, but rather a computing platform. The trajectory is that of communications networks becoming computing networks (with self-executing code), and perhaps ultimately quantum computing networks.
The New Era of Networked Science
by Michael Nielsen
“Reinventing Discovery” argues that we are living at the dawn of the most dramatic change in science in more than three hundred years. This change is being driven by powerful cognitive tools, enabled by the internet, which are greatly accelerating scientific discovery. There are many books about how the internet is changing business, the workplace, or government. But this is the first book about something much more fundamental: how the internet is transforming our collective intelligence and our understanding of the world.
20. Smart Cities and Artificial Intelligence
Convergent Systems for Planning, Design, and Operations
by Christopher Grant Kirwan and Zhiyong Fu
Smart Cities and Artificial Intelligence offers a comprehensive view of how cities are evolving as smart ecosystems through the convergence of technologies incorporating machine learning and neural network capabilities, geospatial intelligence, data analytics and visualization, sensors, and smart connected objects. These recent advances in AI move us closer to developing urban operating systems that simulate human, machine, and environmental patterns from transportation infrastructure to communication networks. This book provides readers with a conceptual and practical knowledge base to grasp and apply the key principles required in the planning, design, and operations of smart cities.