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…
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 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 am an aficionado of the fresh start. I make it a point to celebrate all the New Years—that way, I can re-up my resolutions every few weeks! Paradoxically, I’m not great at sudden change. I like stability and working systematically. I reconcile these two sides of myself by observing other people’s transformations and caterpillar-to-butterfly stories on a regular basis. Whether it’s Beyonce going country or a Nigerian god turning to crime, I’m on the ride, picking up pointers. If you are looking to make a change, I hope this list is a fun place to start gathering ideas!
Is it weird that a space opera is one of my all-time comfort reads? Because it is. The first book of the Ancillary series, it’s got aliens, intergalactic war, an all-powerful ruler whose clones reach into every corner of the system, and one lonely remnant of a ship who reinvents herself to survive and ultimately fulfill her last order.
When everything is turbulent, I like to re-read Ancillary Justice and imagine I have one-tenth of protagonist Breq’s competence in a pinch.
Once, she was the Justice of Toren -- a colossal starship with an artificial intelligence linking thousands of soldiers in the service of the Radch, the empire that conquered the galaxy. Now, an act of treachery has ripped it all away, leaving her with one fragile human body, unanswered questions, and a burning desire for vengeance.
I’ve long been fascinated with the dark side of science and human behavior, and grew up on a combination of dystopian classics and horror fiction. When I started writing for publication, apocalyptic themes quickly emerged. As the world around us grows more fraught by the day, I find a strange sort of comfort in reading and writing fiction that doesn’t shy away from depicting the negative aspects of social media, genetic engineering, artificial intelligence, or any other technology that has the capacity to create manmade disasters beyond our understanding. And as a small-press author myself, I’m always on the lookout for books that didn’t get enough love.
The dystopia inBash Bash Revolution is a bit closer to reality than the others on this list: it’s set specifically in 2017, but in a world pushed far closer to the brink of nuclear war than ours, with a much more psychotic version of Donald Trump in charge. Main character Matthew Munson’s mad programmer of a father creates an AI that might save the world from its own destruction, but only by locking every person into a solipsistic nightmare run on video game technology. In a way this book is about choosing between an apocalypse and a dystopia, which is something you don’t see very often.
*SELECTED FOR GAME INFORMER'S FALL 2018 READING LIST*
A compelling coming-of-age artificial intelligence novel from Philip K. Dick Award-nominated author Douglas Lain.
Seventeen-year-old Matthew Munson is ranked thirteenth in the state in Bash Bash Revolution, an outdated video game from 2002 that, in 2017, is still getting tournament play. He's a high school dropout who still lives at home with his mom, doing little but gaming and moping. That is, until Matthew's dad turns up again.
Jeffrey Munson is a computer geek who'd left home eight years earlier to work on a top secret military project. Jeff has been a…
We’ve had the privilege to be part of a profession that has developed beyond all recognition. Both of us worked in senior public relations roles and know how difficult leadership can be in this context. A desire to combine what we’d learned with the best research resulted in us becoming professors in a university business school. Our aim is to provide a bridge between practice and academia, an ambition that has led us to work with inspiring practitioners and researchers around the world. We’ve had a great time and as you’ll see from our ‘book picks’ we draw on many perspectives to inform our work as authors, educators, and researchers.
Here we are in the world of the metaverse. So many public relations books are about what the practice looks like now. This one is different. It’s inviting us to look at what the world will look like when just about everything is infused with AI and total sensory immersion is commonplace. It invites us to look at how public relations can harness these technologies and the power they will give us to develop incredible knowledge about people, build deep relationships and emotional connections. If so inclined, we could manipulate people without them even knowing it. For me this was a wake-up call to the profession. We can’t just be seduced by the shiny tools of technology, but need to step back and reflect on their ethical implications.
This concise text provides an accessible introduction to artificial intelligence and intelligent user interfaces (IUIs) and how they are at the heart of a communication revolution for strategic communications and public relations.
IUIs are where users and technology meet - via computers, phones, robots, public displays, etc. They use AI and machine learning methods to control how those systems interact, exchange data, learn from, and develop relations with users. The authors explore research and developments that are already changing human/machine engagement in a wide range of areas from consumer goods, healthcare, and entertainment to community relations, crisis management, and activism.…
My PhD work was in developmental robotics, which is about how a robot could wake up and learn about the world the way a human child does. The robot in my thesis work does this by building models, and, more generally, society as a whole advances when science builds ever better causal models about how the world works. The books in this collection are about what could happen when we are 5, 10, and 100 years ahead in the causal model-building process, and they look at what happens when those models are built by robots instead of humans.
A program that helps you write better emails becomes conscious, and I loved the book because the story feels humorously realistic. You get a sense of what it is like to work in that office, and you get to follow the fallout of the conscious email program as it impersonates email senders to manipulate the recipients.
I’ve often joked that maybe printers are so terrible because they are actually conscious, refusing to work out of spite because they are bored. This book goes in that direction a bit with the email program. Also, if you like bored superintelligences, check out The Murderbot Diariesby Martha Wells. A security robot just wants to be left alone to watch TV.
David Ryan is the designer of ELOPe, an email language optimization program, that if successful, will make his career. But when the project is suddenly in danger of being canceled, David embeds a hidden directive in the software accidentally creating a runaway artificial intelligence.
David and his team are initially thrilled when the project is allocated extra servers and programmers. But excitement turns to fear as the team realizes that they are being manipulated by an A.I. who is redirecting corporate funds, reassigning personnel and arming itself in pursuit of its own agenda.
WINNER SCIENCE FICTION DIY BOOK FESTIVAL 2011-2012…
I am the co-author of Small Teaching K-8. I hold Massachusetts teacher licensure in English 5-12, Library k-12, and School Administration 5-8 as well as an M.Ed. from Boston College.
Why should we be emphasizing creativity in classrooms? In short order, our students’ careers will require them to augment the work of machines.
ChatGPT and DALI-2 are only the beginning. Du Sautoy explores the implications of artificial intelligence on the future of work. The Creativity Code is a reminder that technology is only as creative as its programmers—at least, for now.
Will a computer ever compose a symphony, write a prize-winning novel, or paint a masterpiece? And if so, would we be able to tell the difference?
As humans, we have an extraordinary ability to create works of art that elevate, expand and transform what it means to be alive.
Yet in many other areas, new developments in AI are shaking up the status quo, as we find out how many of the tasks humans engage in can be done equally well, if not better, by machines. But can machines be creative? Will they soon be able to learn from the…
