A gripping journey of discovery, The Catalyst moves from the early experiments that first hinted at RNA's spectacular powers, to Cech's own paradigm-shifting finding that it can catalyze cellular reactions, to the cutting-edge biotechnologies poised to reshape our health.

Why have so many Americans turned against democracy? In this deeply reported book, Katherine Stewart takes us to conferences of conspiracy-mongers, backroom strategy gatherings, and services at extremist churches, and profiles the people who want to tear it all down.

Causal Inference provides a brief and nontechnical introduction to randomized experiments, propensity scores, natural experiments, instrumental variables, sensitivity analysis, and quasi-experimental devices. Ideas are illustrated with examples from medicine, epidemiology, economics and business, the social sciences, and public policy.

Hal Brands argues that a better understanding of Eurasia's strategic geography can illuminate the contours of rivalry and conflict in today's world. The Eurasian Century explains how revolutions in technology and warfare, and the rise of toxic ideologies of conquest, made Eurasia the center of twentieth-century geopolitics—with pressing implications for the struggles that will define the twenty-first.

Since it was first published in 2005, Ray Kurzweil's The Singularity Is Near and its vision of the future have been influential in spawning a worldwide movement with millions of followers, hundreds of books, major films, and thousands of articles. During the succeeding decade, many of Kurzweil's predictions about technological advancements have been borne out, and their viability has become familiar to the public through such now commonplace concepts. In this entirely new book Ray Kurzweil brings a fresh perspective to advances in the singularity.

Why has war been such a consistent presence throughout the human past? A leading historian explains, drawing on rich examples and keen insight. Richard Overy is not the first scholar to take up the title question. In 1931, at the request of the League of Nations, Albert Einstein asked Sigmund Freud to collaborate on a short work examining whether there was "a way of delivering mankind from the menace of war." Published the next year as a pamphlet entitled Why War?, it conveyed Freud's conclusion that the "death drive" made any deliverance impossible.

We are entering a new technological age in which artificial intelligence and immersive media will transform society at all levels, mediating our lives by altering what we see, hear, and experience. If managed well, this could unleash a new age of abundance. If managed poorly, this technological revolution could easily go astray, compromising our privacy, autonomy, agency, and humanity. Two industry veterans provide a data-driven debate on whether the new world we're creating will be a technological utopia or an AI-powered dystopia and give guidance on how to aim for the best future we can.

As it absorbs data, gains agency, and intermediates between humans and reality, AI will help us to address enormous crises, from climate change to geopolitical conflicts to income inequality. It might well solve some of the greatest mysteries of our universe, revolutionize fields as diverse as medicine and architecture, and elevate the human spirit to unimaginable heights. But it will also pose challenges on a scale and of an intensity that we have never seen.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

Something new entered our world in November 2022—the first general purpose AI that could pass for a human and do the kinds of creative, innovative work that only humans could do previously. Wharton professor Ethan Mollick immediately understood what ChatGPT meant: after millions of years on our own, humans had developed a kind of co-intelligence that could augment, or even replace, human thinking. Through his writing, speaking, and teaching, Mollick has become one of the most prominent and provocative explainers of AI.

What is life? In this penetrating and wide-ranging book, world-renowned physicist and science communicator Paul Davies searches for answers in a field so new and fast-moving that it lacks a name; it is a domain where biology, computing, logic, chemistry, quantum physics, and nanotechnology intersect.

Many books have been written about J. Doyne Farmer and his work, but this is the first in his own words. It presents a manifesto for how to do economics better. In this tale of science and ideas, Farmer fuses his profound knowledge and expertise with stories from his life to explain how we can bring a scientific revolution to bear on the economic conundrums facing society.

Artificial intelligence and cybersecurity veteran Justin Hutchens delivers an incisive and penetrating look at how contemporary and future AI can and will be weaponized for malicious and adversarial purposes. In the book, you will explore the history of social engineering and social robotics, the psychology of deception, considerations of machine sentience and consciousness, and the history of how technology has been weaponized in the past.

Nvidia is the darling of the age of artificial intelligence: the company’s chips are powering the generative-AI revolution, and demand is insatiable. For all the current interest and attention, however, Nvidia is not of our time. Founded more than three decades ago in a Denny’s in East San Jose, for years it was known primarily in the then-niche world of computer gaming. In fact, the company’s leather-jacketed leader, Jensen Huang, is the longest-serving CEO in an industry marked by near constant turmoil and failure.

Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will.

We are in the midst of a global mental health crisis, and mental illnesses are on the rise. But what causes mental illness? And why are mental health problems so hard to treat? Drawing on decades of research, Harvard psychiatrist Dr. Chris Palmer outlines a revolutionary new understanding that for the first time unites our existing knowledge about mental illness within a single framework: mental disorders are metabolic disorders of the brain. Brain Energy will transform the field of mental health, and the lives of countless people around the world.

My Big TOE: Awakening, written by a nuclear physicist in the language of contemporary culture, unifies science and philosophy, physics and metaphysics, mind and matter, purpose and meaning, the normal and the paranormal. The entirety of human experience (mind, body, and spirit) including both our objective and subjective worlds is brought together under one seamless scientific understanding.

Richard Dawkins' brilliant reformulation of the theory of natural selection has the rare distinction of having provoked as much excitement and interest outside the scientific community as within it. His theories have helped change the whole nature of the study of social biology, and have forced thousands to rethink their beliefs about life.

How the Earth Works takes you on an astonishing journey through time and space. In 48 lectures, you will look at what went into making our planet - from the big bang, to the formation of the solar system, to the subsequent evolution of Earth.

Hilarious, fascinating, and a roller coaster of dizzying, historical what-ifs, Napoleon's Hemorrhoids is a potpourri for serious historians and casual history buffs. In one of Phil Mason's many revelations, you'll learn that Communist jets were two minutes away from opening fire on American planes during the Cuban missile crisis, when they had to turn back as they were running out of fuel. You'll discover that before the Battle of Waterloo, Napoleon's painful hemorrhoids prevented him from mounting his horse to survey the battlefield.

Astrophysicist Neil deGrasse Tyson has attracted one of the world’s largest online followings with his fascinating, widely accessible insights into science and our universe. Now, Tyson invites us to go behind the scenes of his public fame by unveiling his candid correspondence with people across the globe who have sought him out in search of answers. In this hand-picked collection of 100 letters, Tyson draws upon cosmic perspectives to address a vast array of questions about science, faith, philosophy, life, and of course, Pluto.

How do today's most successful tech companies - Amazon, Google, Facebook, Netflix, Tesla - design, develop, and deploy the products that have earned the love of literally billions of people around the world? Perhaps surprisingly, they do it very differently from the vast majority of tech companies. In Inspired, technology product management thought leader Marty Cagan provides listeners with a master class in how to structure and staff a vibrant and successful product organization and how to discover and deliver technology products that your customers will love.

Welcome to the Universe is a personal guided tour of the cosmos by three of today's leading astrophysicists. Inspired by the enormously popular introductory astronomy course that Neil deGrasse Tyson, Michael A. Strauss, and J. Richard Gott taught together at Princeton, this book covers it all - from planets, stars, and galaxies to black holes, wormholes, and time travel.

In The Quantum Universe, Brian Cox and Jeff Forshaw approach the world of quantum mechanics in the same way they did in Why Does E=mc2? and make fundamental scientific principles accessible - and fascinating - to everyone.The subatomic realm has a reputation for weirdness, spawning any number of profound misunderstandings, journeys into Eastern mysticism, and woolly pronouncements on the interconnectedness of all things. Cox and Forshaw's contention? There is no need for quantum mechanics to be viewed this way.

Beginning with opium, the “joy plant,” which has been used for 10,000 years, Thomas Hager tells a captivating story of medicine. His subjects include the largely forgotten female pioneer who introduced smallpox inoculation to Britain, the infamous knockout drops, the first antibiotic, which saved countless lives, the first antipsychotic, which helped empty public mental hospitals, Viagra, statins, and the new frontier of monoclonal antibodies. This is a deep, wide-ranging, and wildly entertaining book.

A gripping journey of discovery, The Catalyst moves from the early experiments that first hinted at RNA's spectacular powers, to Cech's own paradigm-shifting finding that it can catalyze cellular reactions, to the cutting-edge biotechnologies poised to reshape our health.

From leading geopolitical expert and technology futurist Jamie Metzl comes a groundbreaking exploration of the many ways genetic engineering is shaking the core foundations of our lives-sex, war, love, and death. At the dawn of the genetics revolution, our DNA is becoming as readable, writable, and hackable as our information technology. But as humanity starts retooling our own genetic code, the choices we make today will be the difference between realizing breathtaking advances in human well-being and descending into a dangerous and potentially deadly genetic arms race.

Bostrom’s previous book, Superintelligence: Paths, Dangers, Strategies (OUP, 2014) sparked a global conversation on AI that continues to this day. That book, which became a surprise New York Times bestseller, focused on what might happen if AI development goes wrong. But what if things go right? Suppose we develop superintelligence safely and ethically, and that we make good use of the almost magical powers this technology would unlock.

Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow.

Sociogenomics brings together advances in molecular genetics and traditional social and behavioral science. The key tool is the polygenic index, which allows us to analyze DNA to measure a child's genetic potential. Today, we can estimate a child's adult height, how far they will go in school, and their weight as an adult—all from a cheek swab, finger prick, or vial of saliva. Dalton Conley and other researchers are using this new science to shed light on the ways in which genes shape our world, influencing how each person both creates and responds to the environment around them.

We are entering a new technological age in which artificial intelligence and immersive media will transform society at all levels, mediating our lives by altering what we see, hear, and experience. If managed well, this could unleash a new age of abundance. If managed poorly, this technological revolution could easily go astray, compromising our privacy, autonomy, agency, and humanity. Two industry veterans provide a data-driven debate on whether the new world we're creating will be a technological utopia or an AI-powered dystopia and give guidance on how to aim for the best future we can.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

For Blood and Money tells the little-known story of how an upstart biotechnology company created a one-in-a-million cancer drug and how the core team—denied their share of the profits—went and did it again. In this epic saga of money and science, veteran financial journalist Nathan Vardi explains how the invention of two of the biggest cancer drugs in history became (for their backers) two of the greatest Wall Street bets of all time.

Since it was first published in 2005, Ray Kurzweil's The Singularity Is Near and its vision of the future have been influential in spawning a worldwide movement with millions of followers, hundreds of books, major films, and thousands of articles. During the succeeding decade, many of Kurzweil's predictions about technological advancements have been borne out, and their viability has become familiar to the public through such now commonplace concepts. In this entirely new book Ray Kurzweil brings a fresh perspective to advances in the singularity.

Synthetic biology promises to reveal how life is created and how it can be re-created, enabling scientists to rewrite the rules of our reality. It could help us, for example, heal without prescription medications, grow meat without harvesting animals, or confront our looming climate catastrophe. Synthetic biology will determine the ways in which we conceive future generations and how we define family, how we identify disease and treat aging, where we make our homes, and how we nourish ourselves.

Blue Magic, the latest designer drug linked to a rash of overdoses, might explain the needle mark on the arm of a young woman found dead in her Kansas City apartment. But when star reporter Rich Azadian digs deeper, the clues point to a far more explosive story: MaryLee Stock was a special protege of evangelical megapastor and power broker Cobalt Becker, who is poised to deliver his followers and the presidency to a firebrand right-wing senator in the next election.

Join journalist Barry Werth as he pulls back the curtain on Vertex, a start-up pharmaceutical company, and witness firsthand the intense drama being played out in the pioneering and hugely profitable field of drug research. Founded by Joshua Boger, a dynamic Harvard- and Merck-trained scientific whiz kid, Vertex is dedicated to designing - atom by atom - both a new life-saving immunosuppressant drug and a drug to combat the virus that causes AIDS.

How does a neural network become a brain? While neurobiologists investigate how nature accomplishes this feat, computer scientists interested in AI strive to achieve this through technology. The Self-Assembling Brain tells the stories of both fields, exploring the historical and modern approaches taken by the scientists pursuing answers to the quandary: What information is necessary to make an intelligent neural network? As Peter Robin Hiesinger argues, "the information problem" underlies both fields.

Arguably the most significant scientific discovery of the new century, the mapping of the 23 pairs of chromosomes that make up the human genome raises almost as many questions as it answers - questions that will profoundly impact the way we think about disease, about longevity, and about free will. Questions that will affect the rest of your life. Matt Ridley here probes the scientific, philosophical, and moral issues arising as a result of the mapping of the genome.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.