Here are 100 books that Birth of Intelligence fans have personally recommended if you like
Birth of Intelligence.
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Since childhood I've been fascinated with the beauty of organic molecules. I pursued this passion in graduate school at Brown University and through a postdoctoral position at Stanford University. My professional career began at a startup pharmaceutical company in California, which evolved into research positions in agriculture and food ingredients. After 30 years I retired as a vice-president of research and development for a food ingredients company. I developed a passion for food and cooking and subsequently acquired a position as the science editor for America’s Test Kitchen, which I held for over 12 years. Today at the age of 80 I still write and publish scientific papers and books about food, cooking, and nutrition.
This book was the inspiration for my book and was written by a professor of Biological Anthropology at Harvard University. It sets out a convincing argument that cooking may have been started by the earliest humans about 2 million years ago, which is far earlier than most anthropologists believe. Much of Wrangham’s arguments are based on his own research that illustrates how cooking provided better nutrition resulting in the expansion of the human brain by 60% over thousands of years giving humans a head-start over all other living species.
In this stunningly original book, Richard Wrangham argues that it was cooking that caused the extraordinary transformation of our ancestors from apelike beings to Homo erectus. At the heart of Catching Fire lies an explosive new idea: The habit of eating cooked rather than raw food permitted the digestive tract to shrink and the human brain to grow, helped structure human society, and created the male-female division of labour. As our ancestors adapted to using fire, humans emerged as "the cooking apes".
Covering everything from food-labelling and overweight pets to raw-food faddists, Catching Fire offers a startlingly original argument about…
I’m a Scientist in Residence at Lux Capital, a venture capital firm that invests in startups at the frontiers of science and technology. I have a PhD in computational biology and focused my academic research on the nature of complex systems, but I soon became fascinated by the ways in which science grows and changes over time (itself a type of complex system!): what it is that scientists do, where scientific knowledge comes from, and even how the facts in our textbooks become out-of-date. As a result of this fascination, I ended up writing two books about scientific and technological change.
This short and delightful book provides a window into how scientists actually work and think, and the degree to which not knowing something about the world is the true engine of scientific progress. Combining Firestein’s own research experiences with broader analysis and narratives from other scientists and the larger history of science, it is an essential guide to understanding the scientific mindset.
Knowledge is a big subject, says Stuart Firestein, but ignorance is a bigger one. And it is ignorance-not knowledge-that is the true engine of science.
Most of us have a false impression of science as a surefire, deliberate, step-by-step method for finding things out and getting things done. In fact, says Firestein, more often than not, science is like looking for a black cat in a dark room, and there may not be a cat in the room. The process is more hit-or-miss than you might imagine, with much stumbling and groping after phantoms. But it is exactly this "not…
I was stimulated by Norbert Wiener’s “Cybernetics” to study circuits in the brain that control behavior. For my graduate studies, I chose the olfactory bulb for its experimental advantages, which led to constructing the first computer models of brain neurons and microcircuits. Then I got interested in how the smell patterns are activated when we eat food, which led to a new field called Neurogastronomy, which is the neuroscience of the circuits that create the perception of food flavor. Finally, because all animals use their brains to find and eat food, the olfactory system has provided new insights into the evolution of the mammalian brain and the basic organization of the cerebral cortex.
Many years ago a young neuroscientist asked to visit me; he had just come to the U.S. from Brazil and was seeking advice on a lab he could join to train in the function of nerve cells in the cerebral cortex. He soon became spectacularly successful, showing that the brain forms different perceptions and controls different movements by overlapping distributions of cortical neurons that constitute an internal reality of the external world.
Building on this knowledge, Nicolellis has led the way in constructing brain-machine interfaces to enable a patient, for example, to learn to walk after suffering a stroke. In doing so, he has come to realize that everything humans experience in our lives is due to the reality constructed by the brain to represent the reality of the external world. As he expresses it, brain reality is the true creator of everything. Some may find this new view disturbing,…
A radically new cosmological view from a groundbreaking neuroscientist who places the human brain at the center of humanity's universe
Renowned neuroscientist Miguel Nicolelis introduces a revolutionary new theory of how the human brain evolved to become an organic computer without rival in the known universe. He undertakes the first attempt to explain the entirety of human history, culture, and civilization based on a series of recently uncovered key principles of brain function. This new cosmology is centered around three fundamental properties of the human brain: its insurmountable malleability to adapt and learn; its exquisite ability to allow multiple individuals…
I was stimulated by Norbert Wiener’s “Cybernetics” to study circuits in the brain that control behavior. For my graduate studies, I chose the olfactory bulb for its experimental advantages, which led to constructing the first computer models of brain neurons and microcircuits. Then I got interested in how the smell patterns are activated when we eat food, which led to a new field called Neurogastronomy, which is the neuroscience of the circuits that create the perception of food flavor. Finally, because all animals use their brains to find and eat food, the olfactory system has provided new insights into the evolution of the mammalian brain and the basic organization of the cerebral cortex.
The other books in this series are mostly about the real brain. But artificial intelligence promises us a new enhanced brain. What does the future hold? Terrence Sejnowski is a neuroscientist who was one of the first to realize the potential of AI. Since he has been there from the start, in this book he gives the reader an exciting inside story on the people and the advances that are reshaping our lives.
Early attempts at AI were limited, but once computational power took off big computers running multilayer neural nets began proving that they could defeat humans at the most demanding games, enhance human capabilities such as pattern recognition, text recognition, language translation, and driverless vehicles, and work to obtain rewards, just like a human. While these advances are dramatic, it is well to remember that the networks are built not from representations of real neurons, but rather from…
How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy.
The deep learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.
As a thirteen-year-old boy, I read Sigmund Freud’s Interpretation of Dreams and I became totally fascinated by Freud’s slow, methodical questioning that eventually revealed deeply hidden unconscious conflicts in the lives of his patients. Then and there I resolved to become a psychiatrist. As a psychiatrist, I explored my patients’ early memories. Over the years, I authored seven books, including The Secret Life of the Unborn Child, published in 28 countries now. I have previously taught at Harvard University, the University of Toronto, York University (Toronto), and St. Mary’s University. This book takes my studies of memory a step further and drills right down to the intelligence of cells.
I am a great admirer of Dr. Siegel who is a clinical professor of psychiatry at the UCLA School of Medicine. This is a terrific book in which Siegel explores the role of interpersonal relationships in forging key connections in the brain. As he says, “Human connections shape neural connections, and each contributes to mind. Relationships and your personal linkages together shape the mind. It is more than the sum of its parts; this is the essence of emergence.” His description of brain architecture is excellent
Siegel’s emphasis on relationships is important and I fully agree with it. His take on the mind is interesting. He says, “The mind is a process that emerges from the distributed nervous system extended throughout the entire body and also from the communication patterns that occur within relationships.” I echo those sentiments in The Embodied Mind when I say that the mind is more…
This highly influential work--now in a revised and expanded third edition incorporating major advances in the field--gives clinicians, educators, and students a new understanding of what the mind is, how it grows, and how to promote healthy development and resilience. Daniel J. Siegel synthesizes cutting-edge research from multiple disciplines, revealing the ways in which neural processes are fundamentally shaped by interpersonal relationships throughout life. And even when early experiences are not optimal, building deeper connections to other people and to one's own internal experience remains a powerful resource for growth. Professors praise the book's utility in courses from developmental psychology…
I embarked on this arduous journey of making sense of the I in AI while working as an Assistant Professor of Finance, which, however, began to look increasingly uninteresting and oppressive. With this innovative endeavor, I return home to philosophy. Apart from being passionate about AI in academia, I’m a tech entrepreneur by heart with three software start-ups in Germany, Switzerland, and Malawi under my belt. Moreover, I served as Deputy Director of and Head of AI at the Swiss Fintech Innovation Lab in Zurich, as Director of Startup Grind Geneva, and I continue to fulfill my role as start-up coach/judge and mentor in various startup programs.
This book is as close as you can get to making sense of intelligence in a way that enriches our understanding of AI. And it opens the door with a bang: Starting from human intelligence, it is highlighted that how a brain made of simple cells creates intelligence remains a mystery.
I appreciate the strength of the book which does not surrender in front of the immense obstacle of figuring out the most complex system in the known universe, our brain, but it moves on and eloquently expresses the ultimate goal of thousands of scientists: to understand the mechanics of the human mind.
This proposed theory of intelligence allowed me to lay the foundation of comparing human and machine intelligence in a meaningful manner.
For all we hear of neuroscience's great advances, the field has generated more questions than answers. We know that the brain combines sensory input from all over your body into a single perception, but not how. We think brains "compute" in some sense, but we can't say what those computations are. We believe that the brain is organized as a hierarchy, with different pieces all working collaboratively to make a single model of the world. But we can explain neither how those pieces are differentiated, nor how they collaborate.
Neuroscientist and computer engineer Jeff Hawkins argues that it's so hard…
I became fascinated by the highest achievements of human intelligence while a graduate student in philosophy working on the discovery and justification of scientific theories. Shortly after I got my PhD, I started working with cognitive psychologists who gave me an appreciation for empirical studies of intelligent thinking. Psychology led me to computational modeling of intelligence and I learned to build my own models. Much later a graduate student got me interested in questions about intelligence in non-human animals. After teaching a course on intelligence in machines, humans, and other animals, I decided to write a book that provides a systematic comparison: Bots and Beasts.
This book provides a good introduction to the current state of machine intelligence through interviews with many leading practitioners including Geoffrey Hinton, Yann LeCun, Stuart Russell, and Demis Hassabis (DeepMind). You will get a sense of both of AI’s recent accomplishments and how far it falls short of full human intelligence.
How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances?
Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community.
Martin has wide-ranging conversations with twenty-three…
I started my career in neuroscience. I wanted to understand brains. That is still proving difficult, and somewhere along the way, I realized my real motivation was to build things, and I wound up working in AI. I love the elegance of mathematical models of the world. Even the simplest machine learning model has complex implications, and exploring them is a joy.
This is a popular science book, so a little different from the others on this list. It is a beautifully written book that is accessible to people who don’t know much about AI but is simultaneously thought-provoking for experts.
It contains probably the best discussion of "intelligence" that I've read, interesting insights into how Google and other tech giants came to develop their machine learning strategy, and a fascinating chapter that views recommendation engines and their users as parts of a single intelligent organism. It's concise and easy to read.
I've read many popular AI books, which are highly variable in quality, and this criminally underappreciated work is the best by miles.
- The author is one of the most influential AI reseachers of recent decades.
- Written in an accessible language, the book provides a probing account of AI today and proposes a new narrative to connect and make sense of events that happened in the recent tumultuous past and enable us to think soberly about the road ahead.
- The book is divided into ten carefully crafted and easily-digestible chapters, each grapples with an important question for AI, ranging from the scientific concepts that underpin the technology to wider implications for society, using real examples wherever possible.
Currently a Professor of Leadership and Strategy at Hult, I’ve been on the faculties of other top business schools, and an executive officer of a NASDAQ company. I’ve led “new to the world” technology projects and advised CXOs of global companies. These experiences convinced me that poor leadership is the biggest reason organizational initiatives fail. Two decades ago, I switched from being a technology scholar; I began researching leadership and writing for practitioners, not academics. My first book was on a 2009 “best business books” list. This one is in Sloan Management Review’s Management on the Cutting Edge series—books that its editors believe will influence executive behavior.
To the best of my recollection, the word ‘leadership’ doesn’t appear in this book.
Yet, since I first encountered it in a Harvard Business School doctoral seminar on leadership—and ignored numerous assignments because I couldn’t put it down—I have recommended it to countless professionals.
Too often, leadership is presented as a disembodied (cap)ability, unmoored from its organizational context.
Philosopher Hofstadter and computer scientist Dennett’s remarkable collection of articles includes both fairy tales (yes!) and Alan Turing’s essay defining artificial intelligence. Collectively, they explore not just the “self and soul” in the sub-title but also how humans interact with organizations and technology.
This book taught me leadership isn’t about being a puppeteer. Each of the newest developments in artificial intelligence has reminded me that I must re-read this book.
With contributions from Jorge Luis Borges, Richard Dawkins, John Searle, and Robert Nozick, The Mind's I explores the meaning of self and consciousness through the perspectives of literature, artificial intelligence, psychology, and other disciplines. In selections that range from fiction to scientific speculations about thinking machines, artificial intelligence, and the nature of the brain, Hofstadter and Dennett present a variety of conflicting visions of the self and the soul as explored through the writings of some of the twentieth century's most renowned thinkers.
For thirty-five years I’ve studied and written about consciousness, the evolution of the mind, and the development of human social and cultural forms. I think we’re all fascinated by who we are and why we have minds. In my case, that fundamental question, which we must all answer in some way during our lives, has become a drive to bridge our theory of consciousness with a full description of the human condition. I believe we cannot progress ethically without such a bridge. Although in my novels I don’t usually write explicitly on such themes, they’re always present, providing the framework in which my characters live their lives.
Nicholas Humphrey is our Darwin of the human mind. I first came across him in the mid-1980s when his television seriesThe Inner Eye was broadcast. It was a revelation to me that such an elegant, comprehensive, and beautiful theory as his existed, explaining the evolution and nature of human consciousness. I bought the accompanying book at once, and it remains for me the best explanation of consciousness—a constant source of inspiration, including for my novels. Humphrey’s social intelligence theory remains, after forty years, the most widely accepted explanation of the evolution of consciousness.
Where does consciousness come from? What is it? Where is it taking us? In 1971 Nicholas Humphrey spent three months at Dian Fossey's gorilla research centre in Rwanda. It was there, among the mountain gorillas that he began to focus on the philosphical and scientific puzzle that has fascinated him ever since: the problem of how a human being or animal can know what it is like to be itself. The Inner Eye describes where these original speculations led: to Humphrey's now celebrated theories of the 'social function of intellect' and of human beings as natural born 'mind-readers'. Easy to…
