Here are 46 books that The Annotated Turing fans have personally recommended if you like
The Annotated Turing.
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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.
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…
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…
I am a mathematician, based at Oxford University, following up the ideas of the Nobel prizewinner Roger Penrose on fundamental physics. But I am best known for writing a biography of Alan Turing, the founder of computer science. I did this at a time when he was almost unknown to the public, long before computers invaded popular culture. And it meant giving a serious account of two kinds of secret history: the codebreaking of the Second World War and the life of an unapologetic gay man. Since then I have also created a supporting website. When I was drawn to find out about Alan Turing, it was not only because he was a mathematician. I seized the chance to bring together many themes from science, history, and human life. This broad approach is reflected in my recommendations. I am choosing books that hint at the great scope of themes related to Turing’s life and work.
My second choice relates more subtly to Turing’s sudden end in 1954. In 1955, Turing’s colleague Max Newman gave a talk on logic in his honour. This greatly impressed a student, Roger Penrose, who was also studying the quantum mechanics and relativity that had first fascinated the young Turing. Years later, Penrose announced an astonishing thesis relating logic and physics. This book explains the theory he developed. It claims that the brain must exploit quantum-mechanical physics that no computer can emulate. Turing famously promoted the prospects for computer-based Artificial Intelligence, but he would have taken this anti-AI thesis more seriously than any other argument: it takes up his own interests and develops his own kind of thinking.
Penrose’s books are not about science, they are actually doing scientific thinking. His humour and wonderful pictures enhance the direct personal engagement. The theory is highly controversial but has set a remarkable twenty-first-century…
The motivation for this book arose, in part, from a need for detailed replies to a number of queries and criticisms from readers of the author's previous book, The Emperor's New Mind , many of whom have gone to extraordinary lengths to avoid the conclusion that there must be something non-computational involved in thinking. Penrose searches for a means, within the constraints of the hard facts of science, whereby a scientifically describable brain might be able to perform the needed non-computational actions. He develops the argument of how quantum effects might have a fundamental relevance to consciousness and to non-computable…
I can’t explain my lifelong fascination with the strange dance between culture, power, and technology. Maybe it’s because I grew up as a math whiz with a deep love of music or because I read too much sci-fi under my blanket by flashlight when I should have been getting my beauty sleep. I was lucky to become friends with Jesse Gilbert at the age of 14 - we goaded each other into spending our lives researching, writing about, and playing with tech in a cultural context. We wrote this book together as a way to bring our decades-long dialogue into the public eye and invite a wider range of people to participate in the conversation.
Shortly after college, I was at a house party, and I headed into one of the hosts’ bedrooms to escape the ruckus. This book was sitting on their desk, and the cover looked intriguing, so I picked it up and started reading. I must have been there for an hour or more, reading story after story, while the party raged outside the door.
Reading Borges felt like the discovery of the wellspring from whence everything else I loved had sprung. Here was fiction written in the earliest moments of the data revolution, fearlessly pursuing infinity and somehow capturing it so efficiently that it could be contained within a few pages of printed text.
Of course, “The Library of Babel” had been a touchstone in computer science and information science circles long before I discovered it, and it’s still the best shorthand way to express certain important concepts. It might be…
The groundbreaking trans-genre work of Argentinian writer Jorge Luis Borges (1899-1986) has been insinuating itself into the structure, stance, and very breath of world literature for well over half a century. Multi-layered, self-referential, elusive, and allusive writing is now frequently labeled Borgesian. Umberto Eco's international bestseller, The Name of the Rose, is, on one level, an elaborate improvisation on Borges' fiction "The Library," which American readers first encountered in the original 1962 New Directions publication of Labyrinths.
This new edition of Labyrinths, the classic representative selection of Borges' writing edited by Donald A. Yates and James E. Irby (in translations…
I am a mathematician, based at Oxford University, following up the ideas of the Nobel prizewinner Roger Penrose on fundamental physics. But I am best known for writing a biography of Alan Turing, the founder of computer science. I did this at a time when he was almost unknown to the public, long before computers invaded popular culture. And it meant giving a serious account of two kinds of secret history: the codebreaking of the Second World War and the life of an unapologetic gay man. Since then I have also created a supporting website. When I was drawn to find out about Alan Turing, it was not only because he was a mathematician. I seized the chance to bring together many themes from science, history, and human life. This broad approach is reflected in my recommendations. I am choosing books that hint at the great scope of themes related to Turing’s life and work.
Ray Monk has, like me, been drawn to the idea of a linear biographical narrative fusing life and work together. My third pick is his biography of the American physicist Robert Oppenheimer. This is a fascinating story parallel to Turing’s. The Second World War brought both of them, hitherto pure researchers, to intense and crucial involvement in the world’s affairs. Nuclear weapons for Oppenheimer were what codebreaking was for Turing. Afterward, both were at odds with the governments they had empowered.
When in 1953 Turing wrote ‘I detest America’ he might well have been reacting to the McCarthy period in which Oppenheimer was attacked. But Ray Monk treats Oppenheimer’s pure scientific work as seriously as the political story. Oppenheimer’s 1939 paper on black holes was the background to Penrose’s 1965 paper cited in the Nobel physics prize of 2020. These dates illustrate the deep and decades-spanning connections that are involved…
J. Robert Oppenheimer is among the most contentious and important figures of the twentieth century. As head of the Los Alamos Laboratory, he oversaw the successful effort to beat the Nazis to develop the first atomic bomb - a breakthrough which was to have eternal ramifications for mankind, and made Oppenheimer the 'father of the Bomb'.
But his was not a simple story of assimilation, scientific success and world fame. A complicated and fragile personality, the implications of the discoveries at Los Alamos were to weigh heavily upon him. Having formed suspicious connections in the 1930s, in the wake of…
Roseanna M. White is a historical fiction writer whose bestselling stories always seem to find their way to war, espionage, and intrigue. A fascination with her family’s heritage led her to tales set in Edwardian and Great War England, and she’s spent the last seven years studying that culture and how the era’s events intersected with things like faith, family, the arts, and social reforms. Of course, she does all this study and writing about war and mayhem from the safety of her home in West Virginia, where life is blessedly ordinary and no one expects her to actually crack any codes in order to survive...which is definitely a good thing.
This is a short punchy book that provides a great introduction to the topic of codebreaking in England during the Great War, giving a sweeping overview and then some entertaining and tantalizing stories about the people involved. At just over a hundred pages, this is a quick read that serves as a fun introduction to the topic.
How did the British codebreakers succeed in cracking the apparently unbreakable Enigma code during the Second World War? Was it their gifted amateurism? The brilliance of Alan Turing? The invention of the very first computers? Or the pioneering work of Polish cryptographers? It was all of the above. But there is one other crucial factor, which is much less well known. The same team had done it before. The truth is that many of those most closely involved in cracking the Enigma code – Alistair Denniston, Frank Birch, Dilly Knox – had wrestled with German naval codes for most of…
I grew up in farm country of central Indiana. But spent my summers on an island in northern Ontario with my grandparents. My grandfather was a self-taught naturalist and shared his love and fascination of the world around us with me. I went on to become a geologist and traveled the globe exploring for natural resources. My love of nature and science is the foundation for the science fiction I write. Whether a proven theory, a fantastical hypothesis, or true science fiction, it’s all based on science fact. It allows everyone to learn about a world built in science fiction which one day may exist in science fact.
This is a book that is at once a biography, a testament to human genius in the face of imminent danger, and a story of human injustice. Alan Turing had an idea about a ‘universal machine’. A machine, when built at Bletchley Park, allowed the Allies in World War II to crack the German Enigma ciphers. This universal machine laid the foundations for modern computing and all the amazing advances we enjoy today. But at a price for Turing, he fought inner demons about his homosexuality and eventually paid the ultimate price.
I marveled at his genius, cheered his cryptographic successes with each cipher cracked, shouted against the tragedy of his arrest, cried at his untimely death. A death at his own hand at the age of 41. The world lost a genius due to a society’s labelling of homosexuality as a crime.
A NEW YORK TIMES BESTSELLER The official book behind the Academy Award-winning film The Imitation Game, starring Benedict Cumberbatch and Keira Knightley It is only a slight exaggeration to say that the British mathematician Alan Turing (1912-1954) saved the Allies from the Nazis, invented the computer and artificial intelligence, and anticipated gay liberation by decades--all before his suicide at age forty-one. This New York Times-bestselling biography of the founder of computer science, with a new preface by the author that addresses Turing's royal pardon in 2013, is the definitive account of an extraordinary mind and life. Capturing both the inner…
I am a mathematician, based at Oxford University, following up the ideas of the Nobel prizewinner Roger Penrose on fundamental physics. But I am best known for writing a biography of Alan Turing, the founder of computer science. I did this at a time when he was almost unknown to the public, long before computers invaded popular culture. And it meant giving a serious account of two kinds of secret history: the codebreaking of the Second World War and the life of an unapologetic gay man. Since then I have also created a supporting website. When I was drawn to find out about Alan Turing, it was not only because he was a mathematician. I seized the chance to bring together many themes from science, history, and human life. This broad approach is reflected in my recommendations. I am choosing books that hint at the great scope of themes related to Turing’s life and work.
My first pick is the one most directly about Alan Turing himself. After 1950 his attention turned mainly to his new theory of mathematical biology, but his death in 1954 left most of this work unpublished. His ideas were 20 or more years ahead of their time and few people could assess them. Jonathan Swinton is a leading expert in this field, and has been studying Turing’s manuscripts for 30 years. But his book has a much broader range: he adds so much on the culture of Manchester and its region, with a particular focus on women both as protagonists and observers. He has also illustrated his story with a wealth of pictures.
Manchester is proud of Alan Turing but does it deserve to be? Dr Jonathan Swinton explores the complexity of the city that Alan Turing encountered in 1948. He goes well beyond Turing as a mathematician, to cover wire-women, Wittgenstein and the daisy. This is a richly illustrated account of lives lived - and one life ended tragically early - in a post-war Manchester busy creating the computer. This is a book about the people one might have met in Turing s Manchester. It records the patronage of older men, triumphant from the successful prosecution of a scientific war, who could…
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