The difference between growing your business and going out of business is your ability to think strategically. The problem is, most leaders are stuck in the operational weeds, struggling to find the time to make better strategic decisions. This challenge is only heightened by the rise of AI. While you know AI is the future, current demands leave you with no time to explore its benefits. Meanwhile, your competition is gaining an edge by integrating AI. The time to act is now.

Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

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.

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.

Generative AI is rewriting the rulebook with its seemingly endless capabilities, from crafting intricate industrial designs, writing computer code, and producing mesmerizing synthetic voices to composing enchanting music and innovating genetic breakthroughs. In Generative AI in Practice, renowned futurist Bernard Marr offers listeners a deep dive into the captivating universe of GenAI. This comprehensive guide introduces you to the basics of this groundbreaking technology and outlines the profound impact that GenAI will have on business and society.

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.

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.

If you read (or listen to) nothing else on artificial intelligence and machine learning, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization.

Imagine a world where the difference between man and machine blurs, where the line between humanity and technology fades, and where the soul and the silicon chip unite. This is not science fiction. This is the twenty-first century according to Ray Kurzweil, the “restless genius” (The Wall Street Journal), “ultimate thinking machine” (Forbes), and inventor of the most innovative and compelling technology of our era.

On a sunlit morning in September 1978, a sloop drifts aimlessly across the Chesapeake Bay. The cabin reveals signs of a struggle, and “classified” documents, live 9 mm cartridges, and a top-secret “burst” satellite communications transmitter are discovered aboard. But where is the boat’s owner, former CIA officer John Paisley? One man may hold the key to finding out. Tennent “Pete” Bagley was once a rising star in America’s spy aristocracy, and many expected he’d eventually become CIA director.

The Crimea, the Boer War, the Somme, Tobruk, Pearl Harbor, the Bay of Pigs: these are just some of the milestones in a century of military incompetence, of costly mishaps and tragic blunders. Are these simple accidents—as the "bloody fool" theory has it—or are they inevitable? The psychologist Norman F. Dixon argues that there is a pattern to inept generalship, and locates this pattern within the very act of creating armies in the first place, which in his view produces a levelling down of human capability that encourages the mediocre and limits the gifted.

Aubrey Clayton traces the history of how statistics went astray, beginning with the groundbreaking work of the 17th-century mathematician Jacob Bernoulli and winding through gambling, astronomy, and genetics. Clayton recounts the feuds among rival schools of statistics, exploring the surprisingly human problems that gave rise to the discipline and the all-too-human shortcomings that derailed it.

In Dialogue, Robert McKee offers in-depth analysis for how characters speak on the screen, on the stage, and on the page in believable and engaging ways. From Macbeth to Breaking Bad, McKee deconstructs key scenes to illustrate the strategies and techniques of dialogue. Dialogue applies a framework of incisive thinking to instruct the prospective writer on how to craft artful, impactful speech.

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.

Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.

The difference between growing your business and going out of business is your ability to think strategically. The problem is, most leaders are stuck in the operational weeds, struggling to find the time to make better strategic decisions. This challenge is only heightened by the rise of AI. While you know AI is the future, current demands leave you with no time to explore its benefits. Meanwhile, your competition is gaining an edge by integrating AI. The time to act is now.

As science informs public policy, decision making, and so many aspects of our everyday lives, a scientifically literate society is crucial. In that spirit, Edge.org publisher and author of Know This, John Brockman, asks 206 of the world's most brilliant minds the 2017 Edge Question: What scientific term or concept ought to be more widely known?

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.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.

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.

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.

In a technologically-saturated era where nearly everything can be effortlessly and digitally reproduced, we're all hungry to carve out our own unique personalities, our own bespoke personae, to stand out and be seen. As the forces of social media and capitalism collide, and individualism becomes more important than ever across a wide array of industries, "branding ourselves" or actively defining our selves for others has become the norm. Yet, this phenomenon is not new. In Self-Made, Tara Isabella Burton shows us how we arrived at this moment of fervent personal-branding.

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.

Kate Webb, an Australian iconoclast, Catherine Leroy, a French daredevil photographer, and Frances FitzGerald, a blue-blood American intellectual, arrived in Vietnam with starkly different life experiences but one shared purpose: to report on the most consequential story of the decade. At a time when women were considered unfit to be foreign reporters, Frankie, Catherine, and Kate challenged the rules imposed on them by the military, ignored the belittlement of their male peers, and ultimately altered the craft of war reportage for generations.

Spontaneous combustion and exhumation, drug mules and devil worshippers, a gruesome killing beneath the Palmerston North Airport control tower, a mysterious death in a historic homestead, a firsthand dissection of the infamous Mark Lundy case... In The Cause of Death, provincial pathologist Dr. Cynric Temple-Camp lifts the lid on the most unusual stories of death and murder he's encountered during his 30-year career.

In the late 1990s, a young physician in Albuquerque, New Mexico, published a stunning memoir of his experiences in the highly charged world of the ER. Presented in a series of powerful, poetic vignettes, The Blood of Strangers became an instant classic. Now, over two decades later, Dr. Frank Huyler delivers another dispatch from the trenches—this time from the perspective of middle age. In portraits visceral, haunting, sometimes surreal, Huyler reveals the gritty reality of medicine practiced on the razor’s edge between life and death.

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.

Modern humans have come a long way in the 70,000 years they’ve walked the earth. Art, science, culture, trade - on the evolutionary food chain, we’re true winners. But it hasn’t always been smooth sailing, and sometimes - just occasionally - we’ve managed to truly f--k things up.

Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence and what it would take to get there.

Drawing on contributions from remaining members, contemporaneous musicians, critics, filmmakers, and the generation of artists who emerged in their wake, this definitive oral history celebrates not only the impact of The Velvet Underground but their legacy, which burns brighter than ever in the 21st century.