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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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.
Deep learning burst on the scene in 2012 with the success of the AlexNet model in the ImageNet competition. The first comprehensive deep learning text was this one, released in 2016.
It’s almost a necessity for deep learning practitioners, but it is not for beginners. Think of it as a graduate-level text. After eight years, some portions read as slightly dated, but the essentials have not changed.
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…
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…
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 geeks,…
I am a classicist (Greek and Latin) and a serious student of history. Modernity has obsessed me for the last 10 years, how it unfolds, what its implications are, whether it generates more gains than losses, whether it’s changing us profoundly and whether we can dodge it or not. Because of this interest (which I lecture on often) I am fascinated to see modernity’s gleanings in earlier times and always curious to see what other critics make of it. Because its effects will only grow down the road, the task of understanding its mechanisms and outcomes is one of extreme urgency, as these books illustrate in different ways.
Just when I thought the future was bright and sunny (in part due to Kurzweil), I learn from James Barrat that ASI (Artificial Super Intelligence) might well mark the end of our species (and the start of an ever-expanding artificial replacement).
I was fascinated by the people Barrat introduces us to like an expert on the psychology of ASI, and his description of a perfect machine and its runaway implications. I realized this is modernity at its best and worst: we push forward to improve the world but are always at the risk of creating new, unseen problems.
The most troubling question of all (to my way of thinking) is that our idea of perfected humanity (both a modern and a pre-modern aim) ends in the vision of machines like Watson playing endless games of Jeopardy among themselves.
Elon Musk named Our Final Invention one of 5 books everyone should read about the future
A Huffington Post Definitive Tech Book of 2013
Artificial Intelligence helps choose what books you buy, what movies you see, and even who you date. It puts the "smart" in your smartphone and soon it will drive your car. It makes most of the trades on Wall Street, and controls vital energy, water, and transportation infrastructure. But Artificial Intelligence can also threaten our existence.
In as little as a decade, AI could match and then surpass human intelligence. Corporations and government agencies are pouring…
I’m a Black woman who writes stories that will give readers an insight into areas of corporate and governmental politics, with a touch of reality, suspense, humor, and romance. Oh, let me add…a touch of fantasy. At times, I will mix the genres simply because that is where the story takes me. Writing is a passion; messaging is a responsibility (I aim to intrigue you!), and humor is my way of balancing the intense topic. I have a degree in Organizational Management, 30 years of working in state agencies, and a vivid imagination to share. I'm enjoying the second chapter of my life by doing what I love…writing stories that entice your mind.
I can appreciate an author who can inject humor into a story that is not traditionally a comedy. In Mind Bullet, we follow the life of an assassin who has the ability to kill with his mind and his artificial intelligence sidekick Bubbles (who frequently asks for a name change throughout the book). Make no mistake, there is plenty of fast-paced, action-packed scenes as Jonas tries to stay one step ahead of the ninjas (yes ninjas!) in between the funny appearances of Bubbles. The mixture of danger and humor is all-consuming as you go along for the ride. This story had me laughing while sitting on the edge of my seat.
A telekinetic assassin’s quest to avenge his parents’ murders triggers an all-out war between an eccentric cast of killers, from the New York Times bestselling author of INFINITE and THE DARK.
Jonas kills people…with his mind. He reaches out, focuses for a moment, and feels a snap of pain between his eyes. Then his target falls over dead, a hole in the center of their brains. The cause of death is unknown to all aside from Jonas, and his lone companion: Bubbles, a sarcastic AI with aspirations to be more human, or a serial killer. One of the two. Maybe…
I’m a novelist and game designer from Bangalore. I’ve been a lifelong reader of science fiction and fantasy. Growing up, I almost never encountered futures that included people like me—brown women, from a country that isn’t the UK/ US, and yet, who are in sync with the rapidly changing global village we belong to. Over the last decade, though, I've found increasing joy in more recent science fiction, in which the future belongs to everyone.The Ten Percent Thiefis an expression of my experiences living in dynamic urban India, and represents one of our many possible futures.
The year is 2095, and human beings must take performance enhancement pills to compete with automated systems. The future in Machinehood could be ours tomorrow.
Welga and Nithya, the novel’s protagonists, are constantly on the verge of burnout while pushing themselves to perform. A mysterious terrorist organization called the Machinehood turns up to demand equal rights for AI, and that humans put an end to pill manufacturing, triggering events around the world. Parts of the novel are set in Chennai, India, and despite all its futuristic advances, the city retains its present day identity. Machinehood also portrays women in technologically-driven spaces, which is something I'm always rooting for.
From the Hugo Award nominee S.B. Divya, Zero Dark Thirty meets The Social Network in this science fiction thriller about artificial intelligence, sentience, and labor rights in a near future dominated by the gig economy.
Welga Ramirez, executive bodyguard and ex-special forces, is about to retire early when her client is killed in front of her. It's 2095 and people don't usually die from violence. Humanity is entirely dependent on pills that not only help them stay alive, but allow them to compete with artificial intelligence in an increasingly competitive gig economy. Daily doses protect against designer diseases, flow enhances…
I grew up and completed the formative years of my college education in Cape Town, South Africa, while active also in anti-apartheid struggles. My Ph.D. dissertation in the 1980s focused on the elaboration of key racial ideas in the modern history of philosophy. I have published extensively on race and racism in the U.S. and globally, in books, articles, and public media. My interests have especially focused on the transforming logics and expressions of racism over time, and its updating to discipline and constrain its conventional targets anew and new targets more or less conventionally. My interest has always been to understand racism in order to face it down.
Digital technology, like technology generally, is commonly assumed to be value neutral. Wendy Chun reveals that structurally embedded in digital operating systems and data collection are values that reproduce and extend existing modes of discriminating while also originating new ones. In prompting and promoting the grouping together of people who are alike—in habits, culture, looks, and preferences—the logic of the algorithm reproduces and amplifies discriminatory trends. Chun reveals how the logics of the digital reinforce the restructuring of racism by the neoliberal turn that my own book lays out.
How big data and machine learning encode discrimination and create agitated clusters of comforting rage.
In Discriminating Data, Wendy Hui Kyong Chun reveals how polarization is a goal—not an error—within big data and machine learning. These methods, she argues, encode segregation, eugenics, and identity politics through their default assumptions and conditions. Correlation, which grounds big data’s predictive potential, stems from twentieth-century eugenic attempts to “breed” a better future. Recommender systems foster angry clusters of sameness through homophily. Users are “trained” to become authentically predictable via a politics and technology of recognition. Machine learning and data analytics thus seek to disrupt…
I'm an author, advisor, speaker, podcaster, and citizen concerned about humanity’s relationship with advanced artificial intelligence. After following developments in AI for many years, I noticed a disconnect between the rapid rate of progress in AI and the public’s understanding of what was happening. The AI issue affects everyone, so I want everyone to be empowered to learn more about how AI will have a large impact on their lives. As a senior policy advisor and a member of the Board of Advisors for Canada's leading safety and governance network, books such as these help me stay informed about the latest developments in advanced artificial intelligence. I hope my recommendations will help you to critically consider how humans should co-exist with this revolutionary technology.
AI will dramatically affect our lives in diverse ways, and this book is a superb guide to the key issues and ways that this might occur.
A main strength of the book is the exploration of a diverse range of possible futures without being unreasonably committed to one particular possibility. No one knows exactly what the future holds, so it is wise to consider different scenarios to open up our imaginations and challenge hidden assumptions.
Having depth as well as breadth, it’s a great, wide-ranging analysis of how AI will affect humanity.
'This is the most important conversation of our time, and Tegmark's thought-provoking book will help you join it' Stephen Hawking
THE INTERNATIONAL BESTSELLER. DAILY TELEGRAPH AND THE TIMES BOOKS OF THE YEAR SELECTED AS ONE OF BARACK OBAMA'S FAVOURITE BOOKS OF 2018
AI is the future - but what will that future look like? Will superhuman intelligence be our slave, or become our god?
Taking us to the heart of the latest thinking about AI, Max Tegmark, the MIT professor whose work has helped mainstream research on how to keep AI beneficial, separates myths from reality, utopias from dystopias, to…
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…
