Fans pick 100 books like From Deep Learning to Rational Machines

By Cameron J. Buckner,

Here are 100 books that From Deep Learning to Rational Machines fans have personally recommended if you like From Deep Learning to Rational Machines. Shepherd is a community of 12,000+ authors and super readers sharing their favorite books with the world.

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Book cover of Human Compatible: Artificial Intelligence and the Problem of Control

Dean Anthony & Sarah-Jayne Gratton Author Of Playing God with Artificial Intelligence

From my list on groundbreaking books on the future of AI.

Why are we passionate about this?

Coming from two very different backgrounds gives Dean and I a unique ‘view’ of a topic that we are both hugely passionate about: artificial intelligence. Our work together has gifted us a broader perspective in terms of understanding the development of and the philosophy beneath what is coined as artificial intelligence today and where we truly stand in terms of its potential for good – and evil. Our book list is intended to provide a great starting point from where you can jump into this incredibly absorbing topic and draw your own conclusions about where the future might take us.

Dean's book list on groundbreaking books on the future of AI

Dean Anthony & Sarah-Jayne Gratton Why did Dean love this book?

What sets this book apart for us is its focus on rethinking the very foundations of AI. The author, Russell, thoughtfully examines the concept of intelligence itself, comparing humans and machines and outlining the necessary milestones for reaching superhuman AI. 

He also doesn't shy away from the current dangers of AI misuse, providing some really great examples.

We found the book very hard to put down, and it raised so many ‘What if?” questions for us!

By Stuart Russell,

Why should I read it?

3 authors picked Human Compatible as one of their favorite books, and they share why you should read it.

What is this book about?

A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines

In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable.

In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines.…


Book cover of 2084: Artificial Intelligence and the Future of Humanity

Dean Anthony & Sarah-Jayne Gratton Author Of Playing God with Artificial Intelligence

From my list on groundbreaking books on the future of AI.

Why are we passionate about this?

Coming from two very different backgrounds gives Dean and I a unique ‘view’ of a topic that we are both hugely passionate about: artificial intelligence. Our work together has gifted us a broader perspective in terms of understanding the development of and the philosophy beneath what is coined as artificial intelligence today and where we truly stand in terms of its potential for good – and evil. Our book list is intended to provide a great starting point from where you can jump into this incredibly absorbing topic and draw your own conclusions about where the future might take us.

Dean's book list on groundbreaking books on the future of AI

Dean Anthony & Sarah-Jayne Gratton Why did Dean love this book?

As a couple interested in the potential impacts of technology, we were immediately drawn to the question this book poses: "Will technology change what it means to be human?" In 2084, John Lennox addresses this question thoughtfully, offering a perspective grounded in both mathematics and philosophy while incorporating insights from his Christian worldview.

What we found truly compelling about this book was how Lennox draws parallels between the nature of humanity and the possibilities and limitations of AI. He delves into the Christian concept of the soul, our inherent moral sense, and our hopes for the future, effectively highlighting the distinction between machines and human beings.

By John C. Lennox,

Why should I read it?

1 author picked 2084 as one of their favorite books, and they share why you should read it.

What is this book about?

Will technology change what it means to be human?

You don't have to be a computer scientist to have discerning conversations about artificial intelligence and technology. We all wonder where we're headed. Even now, technological innovations and machine learning have a daily impact on our lives, and many of us see good reasons to dread the future. Are we doomed to the surveillance society imagined in George Orwell's 1984?

Mathematician and philosopher John Lennox believes that there are credible answers to the daunting questions that AI poses, and he shows that Christianity has some very serious, sensible, evidence-based responses about…


Book cover of The Ethos of Artificial Intelligence: Using AI to Promote the Good Life While Avoiding Harm

Dean Anthony & Sarah-Jayne Gratton Author Of Playing God with Artificial Intelligence

From my list on groundbreaking books on the future of AI.

Why are we passionate about this?

Coming from two very different backgrounds gives Dean and I a unique ‘view’ of a topic that we are both hugely passionate about: artificial intelligence. Our work together has gifted us a broader perspective in terms of understanding the development of and the philosophy beneath what is coined as artificial intelligence today and where we truly stand in terms of its potential for good – and evil. Our book list is intended to provide a great starting point from where you can jump into this incredibly absorbing topic and draw your own conclusions about where the future might take us.

Dean's book list on groundbreaking books on the future of AI

Dean Anthony & Sarah-Jayne Gratton Why did Dean love this book?

A fantastic, non-techy read that cuts through the AI fear-mongering in a way that is both hopeful and practical. 

The authors work well together to craft a story of how we arrived at this point in time, where our ever-evolving research could lead us, and the practical solutions needed to enable us to move forward in a world governed by the complex and rapidly changing landscape of AI.

By Joe Danielewicz, Kirstin Thomas,

Why should I read it?

1 author picked The Ethos of Artificial Intelligence as one of their favorite books, and they share why you should read it.

What is this book about?

The public debut of ChatGPT was a watershed moment. It awakened us to the fact that general artificial intelligence—a technology that had long been a source of fantasy and fiction—was finally here and operating among us. For the first time in history, ordinary citizens could converse directly with an AI chatbot. The thrill of this 'first encounter' with artificial general intelligence, coupled with the astonishing capabilities that AI chatbots displayed, gave rise to concerns about whether AI was sentient or self-aware. Although we have been using AI-assisted applications for years in such forms as facial recognition and language translation, our…


Book cover of In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future

Dean Anthony & Sarah-Jayne Gratton Author Of Playing God with Artificial Intelligence

From my list on groundbreaking books on the future of AI.

Why are we passionate about this?

Coming from two very different backgrounds gives Dean and I a unique ‘view’ of a topic that we are both hugely passionate about: artificial intelligence. Our work together has gifted us a broader perspective in terms of understanding the development of and the philosophy beneath what is coined as artificial intelligence today and where we truly stand in terms of its potential for good – and evil. Our book list is intended to provide a great starting point from where you can jump into this incredibly absorbing topic and draw your own conclusions about where the future might take us.

Dean's book list on groundbreaking books on the future of AI

Dean Anthony & Sarah-Jayne Gratton Why did Dean love this book?

We found this book to be an eye-opening exploration of the revolutionary merging of artificial intelligence and biotechnology. Brian Hilbush expertly guided us through the cutting-edge advancements that are transforming drug discovery and therapeutics without being too technical or scientific in his use of language.

We found Hilbush’s story to be a fascinating breakdown of how AI and deep learning are revolutionizing medicine, with some great insights into the rise of data science in healthcare, groundbreaking biotech innovations, and the exciting startup landscape shaping the industry's future.

By Brian S. Hilbush,

Why should I read it?

1 author picked In Silico Dreams as one of their favorite books, and they share why you should read it.

What is this book about?

Learn how AI and data science are upending the worlds of biology and medicine

In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future delivers an illuminating and fresh perspective on the convergence of two powerful technologies: AI and biotech. Accomplished genomics expert, executive, and author Brian Hilbush offers readers a brilliant exploration of the most current work of pioneering tech giants and biotechnology startups who have already started disrupting healthcare. The book provides an in-depth understanding of the sources of innovation that are driving the shift in the pharmaceutical industry away from serendipitous therapeutic…


Book cover of Artifictional Intelligence: Against Humanity's Surrender to Computers

Peter J. Bentley Author Of Artificial Intelligence and Robotics: Ten Short Lessons

From my list on no hype and no nonsense artificial intelligence.

Why am I passionate about this?

I’ve been a geeky kid all my life. (I don’t think I’ve quite grown up yet.) Born in the 1970s, my childhood was a wonderful playground of building robots and software. I was awarded one of the early degrees in AI, and a PhD in genetic algorithms. I’ve since spent 25 years exploring how to make computers think, build, invent, compose… and I’ve also spent 20 years writing popular science books. I’m lucky enough to be a Professor in one of the world’s best universities for Computer Science and Machine Learning: UCL, and I guess I’ve written two or three hundred scientific papers over the years. I still think I know nothing at all about real or artificial intelligence, but then does anyone?

Peter's book list on no hype and no nonsense artificial intelligence

Peter J. Bentley Why did Peter love this book?

I’ve not met Harry, but he seems to have a logical and sensible head on his shoulders. His writing is considered and grounded, which is exactly what you need when discussing the hype that forever seems to surround AI. This book is another look at this topic and finds yet more ways to explain to readers the difference between human intelligence and our algorithmic attempts at intelligence – which are frequently pretty stupid.

By Harry Collins,

Why should I read it?

1 author picked Artifictional Intelligence as one of their favorite books, and they share why you should read it.

What is this book about?

Recent startling successes in machine intelligence using a technique called 'deep learning' seem to blur the line between human and machine as never before. Are computers on the cusp of becoming so intelligent that they will render humans obsolete? Harry Collins argues we are getting ahead of ourselves, caught up in images of a fantastical future dreamt up in fictional portrayals. The greater present danger is that we lose sight of the very real limitations of artificial intelligence and readily enslave ourselves to stupid computers: the 'Surrender'.

By dissecting the intricacies of language use and meaning, Collins shows how far…


Book cover of Architects of Intelligence: The truth about AI from the people building it

Paul Thagard Author Of Bots and Beasts: What Makes Machines, Animals, and People Smart?

From my list on intelligence in humans, animals, and machines.

Why am I passionate about this?

I became fascinated by the highest achievements of human intelligence while a graduate student in philosophy working on the discovery and justification of scientific theories. Shortly after I got my PhD, I started working with cognitive psychologists who gave me an appreciation for empirical studies of intelligent thinking. Psychology led me to computational modeling of intelligence and I learned to build my own models. Much later a graduate student got me interested in questions about intelligence in non-human animals. After teaching a course on intelligence in machines, humans, and other animals, I decided to write a book that provides a systematic comparison: Bots and Beasts.  

Paul's book list on intelligence in humans, animals, and machines

Paul Thagard Why did Paul love this book?

This book provides a good introduction to the current state of machine intelligence through interviews with many leading practitioners including Geoffrey Hinton, Yann LeCun, Stuart Russell, and Demis Hassabis (DeepMind). You will get a sense of both of AI’s recent accomplishments and how far it falls short of full human intelligence.

By Martin Ford,

Why should I read it?

1 author picked Architects of Intelligence as one of their favorite books, and they share why you should read it.

What is this book about?

Financial Times Best Books of the Year 2018

TechRepublic Top Books Every Techie Should Read

Book Description

How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances?

Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community.

Martin has wide-ranging conversations with twenty-three…


Book cover of Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play

Martin Musiol Author Of Generative AI: Navigating the Course to the Artificial General Intelligence Future

From my list on future-proof yourself for the AI era.

Why am I passionate about this?

My passion for generative AI first ignited in 2016 when I spoke about it at a conference, and ever since then, I can’t stop! I've created an online course, a newsletter and even wrote a book to spread knowledge on this groundbreaking technology. As an instructor, I empower others to explore the boundless potential of generative AI applications. Day in day out, I assist clients in crafting their own generative AI solutions, tailoring them to their unique needs.

Martin's book list on future-proof yourself for the AI era

Martin Musiol Why did Martin love this book?

While it’s not the newest tech, I love that it covers the essential groundwork that sparked the modern AI revolution. I personally think its perfect for engineers and data scientists. It's also a great precursor to my book, giving you the strong foundation you need before diving into the next wave of AI advancements.

By David Foster,

Why should I read it?

1 author picked Generative Deep Learning as one of their favorite books, and they share why you should read it.

What is this book about?

Generative modeling is one of the hottest topics in AI. It's now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models.

Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you'll…


Book cover of Deep Learning

Martin Musiol Author Of Generative AI: Navigating the Course to the Artificial General Intelligence Future

From my list on future-proof yourself for the AI era.

Why am I passionate about this?

My passion for generative AI first ignited in 2016 when I spoke about it at a conference, and ever since then, I can’t stop! I've created an online course, a newsletter and even wrote a book to spread knowledge on this groundbreaking technology. As an instructor, I empower others to explore the boundless potential of generative AI applications. Day in day out, I assist clients in crafting their own generative AI solutions, tailoring them to their unique needs.

Martin's book list on future-proof yourself for the AI era

Martin Musiol Why did Martin love this book?

I truly believe that this is the book that brought my generation of AI experts into the fold. Despite having studied AI and ML, this book took me by the hand and grounded me in the fundamentals. I love the fact that it covers everything from mathematical basics to industry-level techniques.

Written by the OGs of deep learning, it's an absolute must-read for anyone serious about the field. Highly recommend for students and engineers alike.

By Ian Goodfellow, Yoshua Bengio, Aaron Courville

Why should I read it?

4 authors picked Deep Learning as one of their favorite books, and they share why you should read it.

What is this book about?

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.

“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.”
—Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX

Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all…


Book cover of The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World

Kartik Hosanagar Author Of A Human's Guide to Machine Intelligence: How Algorithms Are Shaping Our Lives and How We Can Stay in Control

From my list on managing technological innovation for mere mortals.

Why am I passionate about this?

I build and use emerging technological innovations in business, and I also teach others how they might too! I’m a serial entrepreneur and a Professor at the Wharton School of the University of Pennsylvania. As an entrepreneur, I co-founded and developed the core IP for Yodle Inc, a venture-backed firm that was acquired by Web.com. I’m now the founder of Jumpcut Media – a startup using data and Web3 technologies to democratize opportunities in Film and TV. In all this work, I'm often trying to assess how emerging technologies may affect business and society in the long run and how I can apply them to create new products and services.

Kartik's book list on managing technological innovation for mere mortals

Kartik Hosanagar Why did Kartik love this book?

This book provides an excellent description of the various kinds of machine learning approaches and asks the question of whether there will be a Master Algorithm, one single (universal) algorithm that learns all kinds of tasks from data. The author, Pedro Domingos, introduces the different approaches to building intelligence and the research tribes exploring them – Symbolists (with its foundations in Philosophy and Logic), Connectionists (foundations in Neuro/Cognitive Science), Evolutionaries (foundations in Evolutionary Biology), Bayesians (statistical foundations), and Analogizers (Psychology). He also introduces some of his own ideas on what the master machine learning algorithm might look like. It’s a really useful primer for those who are not deeply immersed in machine learning but it’s written for readers with at least a basic engineering and computer science background.

By Pedro Domingos,

Why should I read it?

1 author picked The Master Algorithm as one of their favorite books, and they share why you should read it.

What is this book about?

Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. Like curious children, they observe us, imitate, and experiment. And in the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask.Machine learning is the automation of discovery,the scientific method on steroids,that enables intelligent robots and…


Book cover of Understanding Deep Learning

Ron Kneusel Author Of How AI Works: From Sorcery to Science

From my list on the background and foundation of AI.

Why am I passionate about this?

As a child of the microcomputer revolution in the late 1970s, I’ve always been fascinated by the concept of a general-purpose machine that I could control. The deep learning revolution of 2010 or so, followed most recently by the advent of large language models like ChatGPT, has completely altered the landscape. It is now difficult to interpret the behavior of these systems in a way that doesn’t argue for intelligence of some kind. I’m passionate about AI because, decades after the initial heady claims made in the 1950s, AI has reached a point where the lofty promise is genuinely beginning to be kept. And we’re just getting started.

Ron's book list on the background and foundation of AI

Ron Kneusel Why did Ron love this book?

Goodfellow’s Deep Learning is a must in the field because it was the first. Prince’s new book is an essential follow-up to be up-to-date with the latest model types, including diffusion models (think Stable Diffusion or DALL-E), transformers (the heart of large language models), graph networks (reasoning over relationships), and reinforcement learning.

The math level is similar to what you’ll find in Goodfellow’s book.

By Simon J.D. Prince,

Why should I read it?

1 author picked Understanding Deep Learning as one of their favorite books, and they share why you should read it.

What is this book about?

An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.

Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced…


Book cover of Human Compatible: Artificial Intelligence and the Problem of Control
Book cover of 2084: Artificial Intelligence and the Future of Humanity
Book cover of The Ethos of Artificial Intelligence: Using AI to Promote the Good Life While Avoiding Harm

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