Here are 100 books that The Girl from Wudang fans have personally recommended if you like
The Girl from Wudang.
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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 nanotechnological apocalypse at the background of Anthropocene Rag has turned the United States into a mythological vision. A mysterious construct known as Prospector Ed (who sometimes adopts the persona of Mark Twain) delivers six magical tickets to various scattered Americans, all of whom have lost something in the “Boom.” While the post-nanoboom landscape is deadly (one of the main characters was orphaned when an intelligence-imbued stadium containing her parents simply decided to become something else), there’s also a lot of wonder, and the book is a loving homage to American mythology and lore.
Anthropocene Rag is "a rare distillation of nanotech, apocalypse, and mythic Americana into a heady psychedelic brew."—Nebula and World Fantasy award-winning author Jeffrey Ford
In the future United States, our own history has faded into myth and traveling across the country means navigating wastelands and ever-changing landscapes.
The country teems with monsters and artificial intelligences try to unpack their own becoming by recreating myths and legends of their human creators. Prospector Ed, an emergent AI who wants to understand the people who made him, assembles a ragtag team to reach the mythical Monument City.
I have worked in the field of machine learning and predictive analytics for many years. Having started out as a technical specialist, I have become increasingly interested in the legal, ethical, and social aspects of these subjects. This is because it is these “soft issues” that often determine how successful these technologies are in practice and if they are viewed as a force for good or evil in wider society. This has led me to write several books focusing on the practical and cultural aspects of these subjects and how best to apply them for the benefit of business, individuals, and wider society.
Many writers have discussed the dangers that artificial intelligence and machine learning represent to our livelihoods, and how clever computers and autonomous robots will supplant us all in the workplace. What I like about this book is that it provides an alternative, and very optimistic, view of how these new technologies are being deployed. The authors present a future based on a partnership, in which artificial intelligence-based tools work in tandem with human workers, enhancing what individuals can do in the workplace rather than replacing them.
AI is radically transforming business. Are you ready?
Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on?
In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show…
Coming from two very different backgrounds gives Dean and I a unique ‘view’ of a topic that we are both hugely passionate about: artificial intelligence. Our work together has gifted us a broader perspective in terms of understanding the development of and the philosophy beneath what is coined as artificial intelligence today and where we truly stand in terms of its potential for good – and evil. Our book list is intended to provide a great starting point from where you can jump into this incredibly absorbing topic and draw your own conclusions about where the future might take us.
We found this book to be an eye-opening exploration of the revolutionary merging of artificial intelligence and biotechnology. Brian Hilbush expertly guided us through the cutting-edge advancements that are transforming drug discovery and therapeutics without being too technical or scientific in his use of language.
We found Hilbush’s story to be a fascinating breakdown of how AI and deep learning are revolutionizing medicine, with some great insights into the rise of data science in healthcare, groundbreaking biotech innovations, and the exciting startup landscape shaping the industry's future.
Learn how AI and data science are upending the worlds of biology and medicine
In Silico Dreams: How Artificial Intelligence and Biotechnology Will Create the Medicines of the Future delivers an illuminating and fresh perspective on the convergence of two powerful technologies: AI and biotech. Accomplished genomics expert, executive, and author Brian Hilbush offers readers a brilliant exploration of the most current work of pioneering tech giants and biotechnology startups who have already started disrupting healthcare. The book provides an in-depth understanding of the sources of innovation that are driving the shift in the pharmaceutical industry away from serendipitous therapeutic…
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 have a deep appreciation for Stuart Russell's book because it brilliantly balances theoretical foundations with practical applications in AI. This book is not just a textbook; it’s a comprehensive guide that covers everything from problem-solving and knowledge representation to machine learning and ethics.
Russell's clear explanations and engaging examples make complex concepts accessible, which resonates with my own passion for demystifying AI for readers. I recommend it to anyone interested in understanding AI's potential and challenges, as it equips you with the knowledge to navigate this rapidly evolving field responsibly and thoughtfully.
Coming from two very different backgrounds gives Dean and I a unique ‘view’ of a topic that we are both hugely passionate about: artificial intelligence. Our work together has gifted us a broader perspective in terms of understanding the development of and the philosophy beneath what is coined as artificial intelligence today and where we truly stand in terms of its potential for good – and evil. Our book list is intended to provide a great starting point from where you can jump into this incredibly absorbing topic and draw your own conclusions about where the future might take us.
What sets this book apart for us is its focus on rethinking the very foundations of AI. The author, Russell, thoughtfully examines the concept of intelligence itself, comparing humans and machines and outlining the necessary milestones for reaching superhuman AI.
He also doesn't shy away from the current dangers of AI misuse, providing some really great examples.
We found the book very hard to put down, and it raised so many ‘What if?” questions for us!
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.…
I’ve been a geeky kid all my life. (I don’t think I’ve quite grown up yet.) Born in the 1970s, my childhood was a wonderful playground of building robots and software. I was awarded one of the early degrees in AI, and a PhD in genetic algorithms. I’ve since spent 25 years exploring how to make computers think, build, invent, compose… and I’ve also spent 20 years writing popular science books. I’m lucky enough to be a Professor in one of the world’s best universities for Computer Science and Machine Learning: UCL, and I guess I’ve written two or three hundred scientific papers over the years. I still think I know nothing at all about real or artificial intelligence, but then does anyone?
I’ve not met Harry, but he seems to have a logical and sensible head on his shoulders. His writing is considered and grounded, which is exactly what you need when discussing the hype that forever seems to surround AI. This book is another look at this topic and finds yet more ways to explain to readers the difference between human intelligence and our algorithmic attempts at intelligence – which are frequently pretty stupid.
Recent startling successes in machine intelligence using a technique called 'deep learning' seem to blur the line between human and machine as never before. Are computers on the cusp of becoming so intelligent that they will render humans obsolete? Harry Collins argues we are getting ahead of ourselves, caught up in images of a fantastical future dreamt up in fictional portrayals. The greater present danger is that we lose sight of the very real limitations of artificial intelligence and readily enslave ourselves to stupid computers: the 'Surrender'.
By dissecting the intricacies of language use and meaning, Collins shows how far…
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 continues to be further integrated into our professional lives, and this is a great introductory book for those in business or the public sector to consider the ethical implications of using various AI systems.
It nicely introduces key concepts and provides step-by-step instructions for thinking about and having ethical AI standards, processes, and metrics.
Broadly, it is a call for the importance of ethics in decision-making and business processes and does well to offer guidance in this age of AI.
The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. Are you prepared for that risk?
Already, many companies have suffered real damage when their algorithms led to discriminatory, privacy-invading, and even deadly outcomes. Self-driving cars have hit pedestrians; HR algorithms have precluded women from job searches; mortgage systems have denied loans to qualified minorities. And often the companies who deployed the AI couldn't explain why the black box made the decision it did.
In this environment, AI ethics isn't merely an academic…
Coming from two very different backgrounds gives Dean and I a unique ‘view’ of a topic that we are both hugely passionate about: artificial intelligence. Our work together has gifted us a broader perspective in terms of understanding the development of and the philosophy beneath what is coined as artificial intelligence today and where we truly stand in terms of its potential for good – and evil. Our book list is intended to provide a great starting point from where you can jump into this incredibly absorbing topic and draw your own conclusions about where the future might take us.
A fantastic, non-techy read that cuts through the AI fear-mongering in a way that is both hopeful and practical.
The authors work well together to craft a story of how we arrived at this point in time, where our ever-evolving research could lead us, and the practical solutions needed to enable us to move forward in a world governed by the complex and rapidly changing landscape of AI.
The public debut of ChatGPT was a watershed moment. It awakened us to the fact that general artificial intelligence—a technology that had long been a source of fantasy and fiction—was finally here and operating among us. For the first time in history, ordinary citizens could converse directly with an AI chatbot. The thrill of this 'first encounter' with artificial general intelligence, coupled with the astonishing capabilities that AI chatbots displayed, gave rise to concerns about whether AI was sentient or self-aware. Although we have been using AI-assisted applications for years in such forms as facial recognition and language translation, our…
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.
Bishop’s book laid the mathematical groundwork for me, making it a solid foundation for anyone venturing into Generative AI.
I love how it covers Bayesian inference, graphical models, and machine learning fundamentals in a clear, approachable way. I also think, in my personal opinion, that reading my book after this one would be a natural progression to understand where AI is heading, building on the core concepts that Bishop established.
Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models…
I’m a philosopher, writer, and illustrator from Wales, UK. I grew up on ’70s sci-fi—Star Wars (the original trilogy!), Battlestar Galactica (the original series!), The Black Hole (Remember that?! No? Oh well…). Space travel, flying cars, sassy computers you could banter with, cute robots who would be your best friend—it was a time when the future seemed just around the corner. But now, as these things finally start to arrive, I feel I’ve been mis-sold. Data theft? Mass surveillance? Killer drones? Election manipulation? Social media bot farms? This isn’t the future I signed up for! Or maybe I should have read the terms and conditions…
Technology is always moving on. And so it should be forgiven the author that many of the concrete examples in this book are now somewhat dated. They provide some interesting insight into the history of computing and media technology, but the real value of Roszak’s argument lies in his analysis of how—thanks to computer technology—society has become obsessed with “information”. It’s almost a cult. But information is not knowledge, data does not in itself provide understanding. In fact, in a peculiarly paradoxical way, the more information we have, the less we actually know. Thirty years later, as we swim daily in the disinformationof the murky waters of social media and disappear down Youtube rabbit holes, Roszak’s point seems more pertinent than ever.
As we devote ever-increasing resources to providing, or prohibiting, access to information via computer, Theodore Roszak reminds us that voluminous information does not necessarily lead to sound thinking. "Data glut" obscures basic questions of justice and purpose and may even hinder rather than enhance our productivity. In this revised and updated edition of "The Cult of Information", Roszak reviews the disruptive role the computer has come to play in international finance and the way in which "edutainment" software and computer games degrade the literacy of children. At the same time, he finds hopeful new ways in which the library and…
