Here are 100 books that A Brief History of Artificial Intelligence fans have personally recommended if you like
A Brief History of Artificial Intelligence.
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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.
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.
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…
Magical realism meets the magic of Christmas in this mix of Jewish, New Testament, and Santa stories–all reenacted in an urban psychiatric hospital!
On locked ward 5C4, Josh, a patient with many similarities to Jesus, is hospitalized concurrently with Nick, a patient with many similarities to Santa. The two argue…
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.
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.
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…
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.
Artificial intelligence is, of necessity, an academic pursuit, at least initially. McCorduck’s book is her account of the history and development of AI. She was not a historian coming to events after the fact but a living witness. Her circle of friends included all the key figures, the people those of us who fell into AI later didn’t have the opportunity to know.
This book, personal and human, not technical and heavy, reveals the humanness of the process. Yes, artificial intelligence was the goal, but human intelligence (and frailty) were central to its emergence.
In the autumn of 1960, twenty-year-old humanities student Pamela McCorduck encountered both the fringe science of early artificial intelligence, and C. P. Snow's Two Cultures lecture on the chasm between the sciences and the humanities. Each encounter shaped her life. Decades later her lifelong intuition was realized: AI and the humanities are profoundly connected. During that time, she wrote the first modern history of artificial intelligence, Machines Who Think, and spent much time pulling on the sleeves of public intellectuals, trying in futility to suggest that artificial intelligence could be important. Memoir, social history, group biography of the founding fathers…
AcClaim is a dark, high-society romance about Beatrix Winslow-Hale, a successful romance author who believes desire can be negotiated and controlled—until enigmatic billionaire Dorian Wolker crosses the line between consensual surrender and violation. Publicly humiliated and emotionally shattered, Beatrix turns to Manon de Rochemaure, her fiercely loyal best friend and…
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.
Alan Turing’s 1936 paper “On Computable Numbers, with an Application to the Entscheidungsproblem” was foundational to the development of computer science. To this day, Turing machines, the theoretical computational devices imagined in Turing’s paper, are a research cornerstone as they embody the concept of “computable.” If a programming language can implement a Turing machine, then the language is deemed Turing complete and is, therefore, general-purpose enough to implement any algorithm.
Turing’s paper is readable, but Petzold’s book breaks it down in minute detail to explain the nomenclature and meaning behind Turing’s words. I believe all computer science students should study this paper, and you’ll be hard-pressed to find a more thorough review than the one presented in this book.
Programming Legend Charles Petzold unlocks the secrets of the extraordinary and prescient 1936 paper by Alan M. Turing
Mathematician Alan Turing invented an imaginary computer known as the Turing Machine; in an age before computers, he explored the concept of what it meant to be computable, creating the field of computability theory in the process, a foundation of present-day computer programming.
The book expands Turing's original 36-page paper with additional background chapters and extensive annotations; the author elaborates on and clarifies many of Turing's statements, making the original difficult-to-read document accessible to present day programmers, computer science majors, math…
I spent over forty years developing complex, software-intensive systems, and the Association of Computing Machinery honored me with the title of distinguished engineer. AI and robotics have been my main technical focus for the last 5 years. For the last couple of years, I have been binge-watching videos on advances in AI and robotics and binge-reading books on the topic. I am also a multi-award-winning author of science fiction novels and short stories. Most of the short stories in my coming book involve AI and robots.
I really loved this book because of its wide breadth. If you are only going to read a single book on AI and its ramifications, this would be my top recommendation.
It covers everything from the history of artificial intelligence to what the short- and mid-term future will look like. This book provides a solid foundation to help you prepare for a future dominated by AIs and robots.
"Machines of Tomorrow offers a fascinating journey into the future of AI, providing a unique perspective that combines technology, economics, geopolitics, and history." — PASCAL BORNET, Technology Influencer, 2 million followers.
How AI Will Shape Our World.
Written in an easy-to-read style accessible to everyone, "Machines of Tomorrow" grounds the reader in a thorough history and description of Artificial Intelligence, enabling an appreciation of its real trajectory and ultimately a deeper level of engagement with the core concept of the book: what should societies expect from AI in the coming decades?
I’m a Chinese Vietnamese American author who writes about the Asian girls I never saw in books as a kid. Growing up in Southern California, I was part of an Asian community that was extremely diverse—a reality that was rarely reflected in American pop culture. For years, I longed to see messy, flawed, fully humanized Asian characters in all different kinds of stories, not just the typical child-of-immigrant narratives. As a result, I now spend a lot of time thinking about representation (whether I want to or not!), and I’m always looking for writers who pull it off with nuance and realism. I hope you’ll find these books are great examples of that.
Thanks to the evocative prose in Yvonne Woon’sIf You, Then Me, I found myself swept up in the protagonist Xia’s vision of the Bay Area as a perfect paradise, despite the fact that I definitely know better.
I was rooting for Xia, a talented but lonely coder whose best friend is her AI app, even when she started making all kinds of questionable choices. Though I’ve seen this book characterized as a rom com, I actually think it’s more of a modern fairy tale—in all the best ways.
A warm and funny teen coming of age story set in Silicon Valley from Asian American author Yvonne Woon about the questions we all ask when making mistakes in life and in love, perfect for fans of Emergency Contact and When Dimple Met Rishi.
What would you ask your future self? First question: What does it feel like to kiss someone?
Xia is stuck in a lonely, boring loop. Her only escapes are Wiser, an artificial intelligence app she designed to answer questions as her future self, and a mysterious online crush she knows only as ObjectPermanence.
"A profound and often affecting story of resilience." —Kirkus Reviews
The Silent Women, an extraordinary novel inspired by the real women of Oak Ridge, Tennessee—the Manhattan Project’s “Secret City," where thousands kept the deadliest secret of World War II—is a sweeping, absorbing, and deeply human story about chosen…
I was stimulated by Norbert Wiener’s “Cybernetics” to study circuits in the brain that control behavior. For my graduate studies, I chose the olfactory bulb for its experimental advantages, which led to constructing the first computer models of brain neurons and microcircuits. Then I got interested in how the smell patterns are activated when we eat food, which led to a new field called Neurogastronomy, which is the neuroscience of the circuits that create the perception of food flavor. Finally, because all animals use their brains to find and eat food, the olfactory system has provided new insights into the evolution of the mammalian brain and the basic organization of the cerebral cortex.
The other books in this series are mostly about the real brain. But artificial intelligence promises us a new enhanced brain. What does the future hold? Terrence Sejnowski is a neuroscientist who was one of the first to realize the potential of AI. Since he has been there from the start, in this book he gives the reader an exciting inside story on the people and the advances that are reshaping our lives.
Early attempts at AI were limited, but once computational power took off big computers running multilayer neural nets began proving that they could defeat humans at the most demanding games, enhance human capabilities such as pattern recognition, text recognition, language translation, and driverless vehicles, and work to obtain rewards, just like a human. While these advances are dramatic, it is well to remember that the networks are built not from representations of real neurons, but rather from…
How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy.
The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.
I have longed to move to the Shire ever since I first saw the film version of The Fellowship of the Ring. I wasn’t aware at first of Tolkien’s deep Catholic faith, but once it was pointed out to me, I was amazed at how he managed to weave Christian virtue into everything he wrote. As a long-time writer myself, I realized that I wanted to tell stories about the big stuff—love and hope, good and evil, doubt and courage—in a way that was genuine and unflinching. I think that all of the authors on this list have pulled off just that.
Part of what I love the most about The Lord of the Rings is the way that J.R.R. Tolkien made Middle Earth feel like it could be real. I have to remind myself it’s not history, but fiction. Reading Recorder gives me the same feeling. Sure, technically, it’s science fiction. It’s set in space. But there is a depth and honesty to the world that Cathy McCrumb has created that is rare and worth exploring. It is both a prescient warning about the future of humanity and a powerful story about found family and finding hope when up against impossible odds. Also, the romantic subplot of this book will absolutely shatter you.
The Consortium is All. But Recorder Can No Longer Obey.
Recorder has no family, no friends, and no name. Donated to the Consortium before birth, her sole purpose is to maintain and verify the records. A neural implant and drone ensure compliance, punishing for displays of bias.
Suddenly cut off from controlling technology, Recorder tastes what it means to be human. But if the Consortium discovers her feelings, everyone she knows will be in danger.
With no name, no resources, and only an infinitesimal possibility of escape, Recorder's time is running out.
"McCrumb achieves a fascinating coming-of-age story in a…
As a kid, I loved fantasy; it was my escape from real life. Portal Fantasy is one of the oldest sub-genres in that regard, with works such as Wizard of Oz, Through the Looking Glass, and Chronicles of Narnia, to name a few. LitRPG is a newer genre, though its roots extend back to the 80s. Fantasy is full of magical worlds that embrace the reader’s mind, allowing them to live beyond their own life. I have experienced what it is like to fall in love countless times, to fly a ship through the sky using magic and swordfight, and to die and be reborn. Through these stories, I have lived.
I know many people seem to like his other series more, but this is one that actually grabbed me. An AI intelligence being sent back to the past, only its one that has magic. I mean come on, how fun does that premise sound? It uses a fairly traditional LitRPG setup, but there is nothing wrong with that in the slightest.
I do have a few nitpicks with the story, but they can be explained away with magic more than anything else.
After tragically losing the only person he ever cared about, Alexander, a rogue artificial intelligence, opens a portal to an alternate dimension to escape his grief.
Scanning trillions of different dimensions, Alexander finally finds a world that is reminiscent of the only time he was ever happy, back when he could play virtual reality games with his only friend. He doesn't know why, or how, such a world exists, but he doesn't care. All he cares about is finding a place where he can escape the misery of Earth and start over.
Broken Boots, Redeemed Soul: A Veteran’s War with Sin and Salvation
by
Brian Lofton,
Broken Boots, Redeemed Soul: A Veteran’s War with Sin and Salvation, is a raw and faith-centered memoir about life after military service—and the internal battles many never see. Brian Lofton shares his journey through addiction, shame, identity loss, and spiritual distance, revealing how the hardest struggles often begin after…
I was raised in a large family, and we were taught to be respectful, honest, and polite to everyone. I've never been able to understand the mind of a 'nasty' person or how a person can hurt another. When these people are brought to justice, how can we know they are telling the truth?
Expanding on this, I started thinking about Artificial Intelligence—could this be the creation that gives us the way to see into a person's mind; to find out what crime they have committed? But then I thought, what if the actual creator was a criminal? How would anyone even know? That was the route of my research which led to i4Ni being written.
I find this book to be inspiring in its mix of the old and new. Old because its main character, Detective Bell, enjoys good old-fashioned detective work, and 'new' because he works in a world alongside 'modern' detectives and futuristic ways of investigating mysteries and crimes. They find ways to work with each other in this book.
I like this because it dispels fears of living in an AI world controlled by humans. I also liked how it shows AI and humans living and existing alongside each other.
I've found this book to be a new experience in itself as I have used the 'synchronised female voice version' to listen to the story and it's brilliant.
In this book readers are invited to explore a unique narrative, a testament to the synergistic potential of human creativity and artificial intelligence. This book stands as an innovative collaboration between a human author and AI, weaving a story that blends the nuanced understanding of human experience with the analytical prowess of machine intelligence."Holmes.AI & Detective Gregory Bell" is not just a story; it’s a journey through the possibilities of a future where humans and AI coexist and cooperate. It challenges the often dystopian narrative surrounding AI, presenting a world where technology and humanity augment each other, leading to innovative…
