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…
The Everlasting Life of Charlie Wall
by
Paul Wilborn,
It’s 1985, and Ronald Armstrong, known in the magic mushroom trade as “Trip,” takes a “sober” job as a driver for a retired Tampa mobster. His boss, Charlie Wall, has survived four attempts on his life, the last one in 1955. When Charlie falls into depression, Trip rebuilds his boss’…
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?
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.
Delve into this internationally best-selling series, now complete! A fast paced laugh-out-loud mix of Urban Fantasy and Mystery.
I can tell when you’re lying. Every. Single. Time. I’m Jinx, a PI hired to find a missing university student, I hope to find her propped up at a bar–yet my gut…
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…
My first true religion was being a boy alone in the woods and feeling a deep connection to nature in all its aspects. I felt a connection with all life and knew myself to be an animal—and gloried in it. Since then, I've learned how vigorously humans fight our animal nature, estranging us from ourselves and the planet. Each of these books invites us to get over ourselves and connect with all life on Earth.
I knew the film Blade Runner before I read this, the novel upon which it's based, but I was not prepared for the richer complexities of the novel.
My favorite parts of the novel, a bizarre new religion and the extinction of all but human and animal life, barely make it into the film. Even the androids, built to be slaves, are much more nuanced and complex than in the film. I loved the conclusion of the book, which affirms the beauty of life, both natural and mechanical.
As the eagerly-anticipated new film Blade Runner 2049 finally comes to the screen, rediscover the world of Blade Runner . . .
World War Terminus had left the Earth devastated. Through its ruins, bounty hunter Rick Deckard stalked, in search of the renegade replicants who were his prey. When he wasn't 'retiring' them with his laser weapon, he dreamed of owning a live animal - the ultimate status symbol in a world all but bereft of animal life.
Then Rick got his chance: the assignment to kill six Nexus-6 targets, for a huge reward. But in Deckard's world things were…
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.
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.
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…
The authoritative but accessible history of the birth of modern American intelligence in World War II that treats not just one but all of the various disciplines: spies, codebreakers, saboteurs.
Told in a relatable style that focuses on actual people, it was a New Yorker "Best of 2022" selection and…
Everyone uses technology, but few stop to think about where these technologies come from and what this trajectory means to humanity. During my professional career, I have dedicated myself to public service focused on security and defense as a U.S. Army officer, senior government civilian, and in think tanks, industry, and academia. My journey has taken me to over 60 countries where I have witnessed humankind's best and worst. The difference is often in how our technologies are used—to build cities, feed populations, and develop life-saving vaccines or to oppress peoples or as tools of war.
This book speaks to the opportunities and challenges for the participants in today’s Artificial Intelligence (AI) competition. It highlights the barriers to entry in this tech war—high costs, advanced hardware such as semiconductors and high-performance computing, and perhaps most importantly, access to human capital.
This book provides a roadmap for thinking about the current AI tech competition. It also highlights what is at stake if the United States does not lead in this space. The idea of AI development led by an authoritarian regime or a nation that does not place humanity first could arrive at solutions that are unfriendly and perhaps even hostile to humanity.
We like to think that we are in control of the future of "artificial" intelligence. The reality, though, is that we--the everyday people whose data powers AI--aren't actually in control of anything. When, for example, we speak with Alexa, we contribute that data to a system we can't see and have no input into--one largely free from regulation or oversight. The big nine corporations--Amazon, Google, Facebook, Tencent, Baidu, Alibaba, Microsoft, IBM and Apple--are the new gods of AI and are short-changing our futures to reap immediate financial gain.
In this book, Amy Webb reveals the pervasive, invisible ways in which…
