Showing titles in Computer Science

Generative AI is our future, and with this action-filled guidebook, you can lift your organization to the next level.

Uncover everything you need to know about "deepfakes" and what could become the biggest information and communications meltdown in world history.

In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze - remember when it seemed plausible that IBM's Watson could cure cancer? - to explain how businesses can put artificial intelligence to work now, in the real world.

Latest Update: September 2023 (Updated Generative AI Tools - RunwayML, Claude 2, Ideomatic; Additional Resources). "Generative AI is a new form of creativity that will redefine human expression." – Sam Altman. "Generative AI is the most exciting and terrifying technology ever encountered." – Lex Fridman. Do you want an easy guide to understanding AI? Curious about the hype around generative AI? Looking for ways to use ChatGPT, MidJourney or RunwayML for business & personal gain? If you find yourself nodding in agreement, then this book is exactly for you.

In June of 2024, spurred by the frenzy of investment following the launch of ChatGPT, and thirty-one years after its founding in a Denny’s restaurant, Nvidia became the most-valuable corporation on Earth. In The Thinking Machine, acclaimed journalist Stephen Witt recounts the unlikely story of how a manufacturer of video game components shocked Silicon Valley by conquering the market for AI hardware, and in the process re-invented the computer.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

A direct sequel to the events of the non-fiction space opera Empires of EVE: A History of the Great Wars of EVE Online, the second volume picks up immediately following the first book's climactic conclusion at the end of EVE Online's "Great War".

"Sumérgete en el futuro de los ingresos pasivos con “ChatGPT Ingresos Secundarios del 2024” de Alec Rowe. Esta guía completa revela más de 85 ideas innovadoras para trabajos secundarios que aprovechan el poder de la inteligencia artificial para impulsar tus ingresos, crear nuevas corrientes de efectivo y asegurar una ventaja competitiva.

Not since the atomic bomb has a technology so alarmed its inventors that they warned the world about its use. Not, that is, until the spring of 2015, when biologist Jennifer Doudna called for a worldwide moratorium on the use of the new gene-editing tool CRISPR - a revolutionary new technology that she helped create - to make heritable changes in human embryos.

If you have a smartphone, you have AI in your pocket. AI is impossible to avoid online. And it has already changed everything from how doctors diagnose disease to how you interact with friends or read the news. But in Rule of the Robots, Martin Ford argues that the true revolution is yet to come. In this sequel to his prescient New York Times best seller Rise of the Robots, Ford presents us with a striking vision of the very near future. He argues that AI is a uniquely powerful technology that is altering every dimension of human life, often for the better.

Future of AI Job Loss and Work: How to Thrive in the Age of AI is your brief and concise practical guide for upskilling and thriving in the future of work where AI plays a pivotal role. You will gain valuable insights from leading perspectives on how AI is transforming various industries and what this means for your career trajectory.- How Automation Impacts Wellbeing- The AI Job Apocalypse: Hype or Reality?- Our unique Human Advantage- A Roadmap to the Future of Work- How to Upskill and Thrive in the Age of AI

Imagine a technology capable of discovering new drugs in days instead of years, helping scientists map distant galaxies and decode the language of whales, and aiding the rest of us in mundane daily tasks, from drafting email responses to preparing dinner. Now consider that this same technology poses risks to our jobs and society as a whole. Artificial Intelligence is no longer science fiction; it is upending our world today.

A few decades into the digital era, scientists discovered that thinking in terms of computation made possible an entirely new way of organizing scientific investigation; eventually, every field had a computational branch: computational physics, computational biology, computational sociology. More recently, "computational thinking" has become part of the K-12 curriculum. But what is computational thinking? This volume in the MIT Press Essential Knowledge series offers an accessible overview.

In the fall of 1980, Genentech, Inc., a little-known California genetic engineering company, became the overnight darling of Wall Street, raising over $38 million in its initial public stock offering. Lacking marketed products or substantial profit, the firm nonetheless saw its share price escalate from $35 to $89 in the first few minutes of trading. Coming at a time of economic recession and declining technological competitiveness in the United States, the event ignited a period of speculative frenzy over biotechnology.

A new approach to the challenges surrounding artificial intelligence that argues for assessing AI actions as if they came from a human being.

In Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour—from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria—recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.

The fruit of the long history of John Brockman's profound engagement with the most important scientific minds who have been thinking about AI - from Alison Gopnik and David Deutsch to Frank Wilczek and Stephen Wolfram - Possible Minds is an ideal introduction to the landscape of crucial issues AI presents. The collision between opposing perspectives is salutary and exhilarating; some of these figures are deeply concerned with the threat of AI, including the existential one, while others have a very different view.

The cells in our bodies consist of molecules, made up of the same carbon, oxygen, and hydrogen atoms found in air and rocks. But molecules, such as water and sugar, are not alive. So how do our cells - assemblies of otherwise "dead" molecules - come to life, and together constitute a living being? In Life’s Ratchet, physicist Peter M. Hoffmann locates the answer to this age-old question at the nanoscale.

Engrossing and captivating, Editing Humanity takes listeners inside the fascinating world of a new gene editing technology called CRISPR, a high-powered genetic toolkit that enables scientists to not only engineer but to edit the DNA of any organism down to the individual building blocks of the genetic code. Davies introduces listeners to arguably the most profound scientific breakthrough of our time. He tracks the scientists on the front lines of its research to the patients whose powerful stories bring the narrative movingly to human scale.

AI-First companies are the only trillion-dollar companies, and soon they will dominate even more industries, more definitively than ever before. These companies succeed by design--they collect valuable data from day one and use it to train predictive models that automate core functions. As a result, they learn faster and outpace the competition in the process. Thankfully, you don't need a PhD to learn how to win with AI. In The AI-First Company, internationally-renowned startup investor Ash Fontana offers an executable guide for applying AI to business problems.