Here are 100 books that This Could Be Important fans have personally recommended if you like
This Could Be Important.
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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…
A moving story of love, betrayal, and the enduring power of hope in the face of darkness.
German pianist Hedda Schlagel's world collapsed when her fiancé, Fritz, vanished after being sent to an enemy alien camp in the United States during the Great War. Fifteen years later, in 1932, Hedda…
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.
Woolridge presents the history of artificial intelligence from the point of view of an insider. This book is one of the few accounts of AI history presenting a measured perspective, one that has weathered more than one boom and bust cycle.
The book is nicely complemented by his recent series of lectures, which can be easily found on YouTube. I read Woolridge as saying, “Yes, something new has happened with the advent of large language models, but much work remains.”
From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: Artificial Intelligence
The somewhat ill-defined long-term aim of AI is to build machines that are conscious, self-aware, and sentient; machines capable of the kind of intelligent autonomous action that currently only people are capable of. As an AI researcher with 25 years of experience, professor Mike Wooldridge has learned to be obsessively cautious about such claims, while still promoting an intense optimism about the future of the field. There have been genuine…
This book is an elegiac meditation on the will to survive. Tor, a beluga whaler, and his wife, Astrid, a botanist specializing in Arctic flora, are stranded during the dark season of 1937-38 at his remote whaling station in the Svalbard archipelago when they misjudge ice conditions and fail to…
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 passionate about what happens at the seam where creativity meets intelligent machines. My work moves between art, design, and AI, and these books sit on that exact edge. The questions they raise, about consciousness, imagination, alignment, and the honest reckoning with what we build, aren't abstract to me. They're the terrain I work in every day, in the studio and in the workshops I teach.
I think this is one of the most honest books I’ve read on AI.
Russell doesn’t perform gratuitous alarm or sell optimism, he reasons. In my own research and in the workshops I teach on creativity and AI, I’ve spent years around people building systems whose objectives I quietly questioned, and Russell gave me the vocabulary I’d been missing.
I love that he treats control not as a constraint on intelligence but as its precondition and preoccupation. It’s the rare AI book I trust.
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.…
Tina Edwards loved her childhood and creating fairy houses, a passion shared with her father, a world-renowned architect. But at nine years old, she found him dead at his desk and is haunted by this memory. Tina's mother abruptly moved away, leaving Tina with feelings of abandonment and suspicion.
The art of computer programming is a lot like the art of writing: It's not just about what your program says but about how it says it. One of the reasons I like the C and C++ languages—which I picked up in the late 1990s and haven't put down since—is that, as compiled, non-sandboxed languages, they promise total control over the machine. Show me where you want each byte of data to go in memory; show me the machine instructions you want; and I can make C++ do that for you.
Every "computer person" should read GEB at least once. Preferably in high school, when you still have the free time to dive deep into all the recreational math exercises. If you're already working 40-hour weeks and wonder who has time for Hofstadter's 750-page "metaphorical fugue on minds and machines," all I can say is: Better late than never!
Douglas Hofstadter's book is concerned directly with the nature of maps" or links between formal systems. However, according to Hofstadter, the formal system that underlies all mental activity transcends the system that supports it. If life can grow out of the formal chemical substrate of the cell, if consciousness can emerge out of a formal system of firing neurons, then so too will computers attain human intelligence. Goedel, Escher, Bach is a wonderful exploration of fascinating ideas at the heart of cognitive science: meaning, reduction, recursion, and much more.
I discovered mind uploading in 1997 via a nonfiction book by Earl and Cox. That book literally changed my life, opening my eyes to concepts I had never previously considered. I joined groups and organizations that advocate for and advance research toward eventual mind-uploading technology. My enthusiasm for the topic ultimately culminated in my 2014 nonfiction book and then again in my 2024 novel, Contemplating Oblivion. The novel presents my philosophy concerning the purpose of existence and the universe, offering an answer that is closely tied to our destiny to one day computerize the brain, upload humanity, and populate the galaxy.
I fell in love with Stross’s book based on a single line: “The wreckage of an incredible meal is scattered across the tables around her.” I never forgot that evocative sentence and the vivid imagery it inspired. This book directly invokes the biggest concepts in cosmological futurism, like Matrioshka brains: star-powered computerized uber-brains.
This book has it all. I enjoyed the space-themed perspective on the singularity, which is less focused on the happenings on Earth and more on a space-faring civilization as the full scope of the singularity comes to pass. I particularly appreciated the utilization of a laser sail to transport an uploaded crew in a spaceship far too small for conventional humans, a concept that only works in the context of mind uploading.
His most ambitious novel to date, ACCELERANDO is a multi-generational saga following a brilliant clan of 21st-century posthumans. The year is some time between 2010 and 2015. The recession has ended, but populations are ageing and the rate of tech change is accelerating dizzyingly. Manfred makes his living from spreading ideas around, putting people in touch with one another and leaving a spray of technologies in his wake. He lives at the cutting edge of intelligence amplification technology, but even Manfred can take on too much. And when his pet robot cat picks up some interesting information from the SETI…
As intense as the Cold War was, I have always found myself looking toward the future. Nuclear annihilation was a real possibility in my youth. Even so, I have always been curious about the next threat beyond our current crisis would be. Beyond nuclear, biological, and chemical threats, I see that we now face possible dangers from rogue AI and climate change. If that’s not enough, let’s remember that conventional weapons are getting more powerful with the passing of each decade. That’s why the storyteller in me loves this stuff so much.
This was the first book I read that brought the concept of artificial intelligence to my attention. The staggering amount of property damage that these massive war machines are capable of redefined my understanding of battlefield carnage. Laumer’s insightful portrayal of what AI can be still holds up today. I really like the way these machines are imagined; they are so very human.
As the concept of intelligent fighting machines developed, the Bolo division of General Motors started working on tank designs that incorporated awareness and intelligence within the development of their tactical tanks.
With each new generation, these awesome fighting machines become more self-aware, with capabilities not only matching their human controllers, but often surpassing them.
This collection of action-packed stories lets the Bolo war machines speak for themselves as they hunt and destroy all who stands in their way. But beyond the action itself, these stories speak to us all on a very human level … about the far-reaching, and often…
The Duke's Christmas Redemption
by
Arietta Richmond,
A Duke who has rejected love, a Lady who dreams of a love match, an arranged marriage, a house full of secrets, a most unneighborly neighbor, a plot to destroy reputations, an unexpected love that redeems it all.
Lady Charlotte Wyndham, given in an arranged marriage to a man she…
I have been writing for many years, and my main preference is political thrillers with criminal overtones. I first became interested in politics when I worked at several political conferences in the 60’s and 70’s. I have been involved in several criminal cases, including my own, and within my family, I have a nephew in the police force. For many years I have had the opportunity to mix with the upper tiers of society as well as the criminal classes and this has given me great insight into creating my characters and plots.
I love an all-action plot that does not rely on the action to sell the story. This is about artificial intelligence creation and a race to unlock its secret about a murder. There is lots of tech detail and the plot is well thought out.
I loved the fast pace of the story and the main character who is not so much a hero but an ex bad guy who O’Reilly creates beautifully. I do rate this very interesting story about Ai.
'Starts off like a fired bullet and never lets up. A sheer delight' David Baldacci.
At a global tech gala hosted at the British Museum, scientist Tobias Hawke is due to unveil an astonishing breakthrough. His AI system appears to have reached consciousness, making Hawke the leading light in his field.
But when terrorists storm the building, they don't just leave chaos in their wake. They seize Hawke's masterwork, sparking a chain reaction of explosive events which could end the world as we know it.
Michael North, ex-assassin and spy-for-hire, must find the killers and recover the AI. But he…
