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 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…
The dragons of Yuro have been hunted to extinction.
On a small, isolated island, in a reclusive forest, lives bandit leader Marani and her brother Jacks. With their outlaw band they rob from the rich to feed themselves, raiding carriages and dodging the occasional vindictive…
Since I was a little boy, I’ve been passionate about technology and its potential to help people. After 25 years working in high tech, digital transformation, and artificial intelligence with a career spanning Intel, Google DeepMind, and a few successful startups I co-founded, I’ve pivoted to helping people, particularly leaders, understand how AI will transform business, education, and society, and how they can use AI to create new value and solve problems for people. AI is about to change everything about everything, and these books will help readers understand what’s coming and prepare themselves for humanity’s journey into an age of abundant intelligence.
Stuart Russell is one of the best communicators of our time, and this collaboration with Peter Norvig is the bible of AI. In its fourth edition, this book covers everything you need to know about classic AI, also known as predictive or discriminative AI.
If you want to use AI to optimize business processes, inventory levels, pricing, risk profiles, segment markets, build recommendation engines, or do any of the hard work of running a business, this is the book for you. Perhaps the fifth edition will include generative AI, but this book is still great without that.
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…
Jake Sledge, a rugged ex-cop turned private eye, teams up with his colossal partner Bobo to navigate the gritty streets of River City.
A murdered lawyer drags them into a web of political intrigue, neo-Nazi thugs, and bloody showdowns. With sharp wit and hard-hitting action, Jake tackles scumbags the only…
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 was raised in a large family, and we were taught to be respectful, honest, and polite to everyone. I've never been able to understand the mind of a 'nasty' person or how a person can hurt another. When these people are brought to justice, how can we know they are telling the truth?
Expanding on this, I started thinking about Artificial Intelligence—could this be the creation that gives us the way to see into a person's mind; to find out what crime they have committed? But then I thought, what if the actual creator was a criminal? How would anyone even know? That was the route of my research which led to i4Ni being written.
I find this book to be inspiring in its mix of the old and new. Old because its main character, Detective Bell, enjoys good old-fashioned detective work, and 'new' because he works in a world alongside 'modern' detectives and futuristic ways of investigating mysteries and crimes. They find ways to work with each other in this book.
I like this because it dispels fears of living in an AI world controlled by humans. I also liked how it shows AI and humans living and existing alongside each other.
I've found this book to be a new experience in itself as I have used the 'synchronised female voice version' to listen to the story and it's brilliant.
In this book readers are invited to explore a unique narrative, a testament to the synergistic potential of human creativity and artificial intelligence. This book stands as an innovative collaboration between a human author and AI, weaving a story that blends the nuanced understanding of human experience with the analytical prowess of machine intelligence."Holmes.AI & Detective Gregory Bell" is not just a story; it’s a journey through the possibilities of a future where humans and AI coexist and cooperate. It challenges the often dystopian narrative surrounding AI, presenting a world where technology and humanity augment each other, leading to innovative…
I have long been fascinated by how personal and singular the experience of grief is. There is something soothing and relatable about reading others’ experiences—the more strange, nonsensical, or even supernatural the better. My own novel, The Secret Garden of Yanagi Inn, is a retelling of The Secret Garden, but with an adult protagonist moving through grief over the death of her complicated mother, striving to see a bright ray of hope on the other side. Each of the books on my list about unusual manifestations of grief tackles this same concept in new and surprising ways, and I hope they touch you as they have touched me.
While the “manifestation of grief” may be less literal in Afterword, I would argue that the manifestation is no less profound.
Afterword tells the story of a woman who channels her grief by recreating her dead lover as an AI program. Schuyler’s gorgeous writing provides deep insights into love and loss and regret while touching on important contemporary ideas of online privacy and the gray morality of AI technology.
A pioneer of artificial intelligence rebuilds the love of her life, but when she discovers he's been feeding incriminating civilian information to the Chinese government, she'll have to decide whether to keep or kill him.
When approached by a Chinese tech company, Virginia Samson is moved to give them her beloved's algorithm so they can create an AI companion for the aging population. Soon her digital lost love starts spying on Chinese citizens, funneling the information to the Chinese government. When Virginia frantically tries to rebuild him, she uncovers his terrible secret, forcing her to relive their beautiful and tragic…
Caroline Herschel has always lived in the shadows. Beholden to her wildly popular older brother, William, who rescued her from servitude, she's worked hard to build a life for herself – one where she can go unnoticed and repay the debt she believes she owes him. But when her brother…
I’ve spent much of my career working with leaders as technology reshapes how decisions are made, authority is exercised, and organizations evolve. What keeps me engaged with this topic is how quickly uncertainty has become the norm rather than the exception. AI and digital systems are no longer abstract forces; they shape everyday choices, incentives, and outcomes. I read these books because they help me think more clearly about leadership in that reality: how judgment, learning, and responsibility need to adapt when systems move faster than intuition. They’ve influenced how I approach real-world leadership challenges in complex, technology-driven environments.
I value this book because it helped me see how deeply technology reshapes leadership decisions long before leaders realize it.
What struck me most is how clearly it shows that AI doesn’t just optimize processes; it rewires how organizations scale, allocate authority, and compete.
I often think about this book when leaders treat AI as a tool rather than as a force that changes operating logic. It sharpened my understanding of why traditional management instincts (control, linear planning, incremental change) break down in AI-driven systems, and why leadership today requires rethinking structure, speed, and accountability at a much more fundamental level.
AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.
Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning--to drive ever more accurate, complex, and…
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.
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.
As a couple interested in the potential impacts of technology, we were immediately drawn to the question this book poses: "Will technology change what it means to be human?" In 2084, John Lennox addresses this question thoughtfully, offering a perspective grounded in both mathematics and philosophy while incorporating insights from his Christian worldview.
What we found truly compelling about this book was how Lennox draws parallels between the nature of humanity and the possibilities and limitations of AI. He delves into the Christian concept of the soul, our inherent moral sense, and our hopes for the future, effectively highlighting the distinction between machines and human beings.
You don't have to be a computer scientist to have discerning conversations about artificial intelligence and technology. We all wonder where we're headed. Even now, technological innovations and machine learning have a daily impact on our lives, and many of us see good reasons to dread the future. Are we doomed to the surveillance society imagined in George Orwell's 1984?
Mathematician and philosopher John Lennox believes that there are credible answers to the daunting questions that AI poses, and he shows that Christianity has some very serious, sensible, evidence-based responses about…
Rodney Bradford comes into Lindsay's restaurant, offers to buy her small house for double its value, eats her brownies, and drops dead on the sidewalk in front. Next, her almost-ex-husband offers to sign the divorce papers, but only if she'll give him her small,…
I used to think that most nonhuman animals do not have minds in any rich sense of that word. After publishing a book about some influential philosophers who articulate and defend that view, I was pushed by a very good friend to get curious about what nonhuman creatures do. That led to years of reading, reflecting, teaching college courses, and eventually admitting that I had been profoundly wrong. My change of mind culminated in the publication of a book that explores the idea that plants have minds. The books on this list helped me tremendously along the way, and my students have also learned much from them.
I think computers don’t think, and this book taught me how to think about that. I admire it in part because it showed me, a professor of philosophy, how to do scientifically informed philosophy. Unlike so many books on the history of thinking about thinking, just the first chapter of this book is clear, accurate, insightful, and exciting. Equally so is Haugeland’s explanation of what a computer is, making an intellectual adventure of theoretical computer science.
Haugeland uses this to make a compelling case for thinking that computers could genuinely reason. And then he does something that we philosophers tend to love; he launches a provocative critique of that claim, contending that computers can’t think because they don’t “give a damn.” Although it’s now three decades old, this is the book to read if you’re curious about artificial intelligence.
First Edition. Some markings on first end page. Some shelf and edge wear, small tears, to dust jacket. Pages are clean and binding is tight. Solid Book.
