Showing titles in Machine Theory & Artificial Intelligence

AI could be your new best friend in the classroom. Isn't it time you got to know it better? AI is becoming a significant presence in the world… and when you’re a teacher, that can feel a little alarming. It’s never going to replace you, but that may be your fear… Every industry professional faces it – and when we’ve seen countless sci-fi movies where artificial intelligence has taken over, it’s little wonder. But we don’t live in that futuristic landscape, and AI represents evolution, not replacement. AI is here to enhance our lives, and it can – when we know how to use it.

Drawing on decades of research into decision-making under uncertainty, Gerd Gigerenzer makes a compelling case for the enduring importance of human discernment in an automated world that we are told can - and will - replace our efforts. Filled with practical examples and cutting-edge research, How to Stay Smart in a Smart World examines the growing role of AI at all levels of daily life with refreshing clarity. This book is a life raft in a sea of information and an urgent invitation to actively shape the digital world in which we want to live.

The robots are here. They make our cars; they deliver fast food; they mine the sea floor. And in the near-future, their presence will increasingly enter our homes and workplaces - making human-robot interaction a frequent everyday occurrence. What will this future look like? What will define the relationship between humans and robots? Here Kate Darling, a world-renowned expert in robot ethics, shows that in order to understand the new robot world, we must first move beyond the idea that this technology will be something like us.

Personalized is a playbook for delivering true personalization at scale. In this book, Boston Consulting Group's Mark Abraham and Harvard Business School's David C. Edelman describe Five Promises of Personalization. Personalized is a playbook for delivering true personalization at scale. With detailed examples across industries—including retail, health care, banking, technology, and travel—this book will help executives learn how to put personalization at the center of their strategy, accelerate growth, and capture their share of the $2 trillion personalization prize.

Garry Kasparov gives his first public account of his landmark 1997 chess match with the IBM supercomputer Deep Blue and explains why, 20 years later, he's become convinced that artificial intelligence is good for humans. In May 1997, the world watched as Garry Kasparov, the greatest chess player in the world, was defeated for the first time by the IBM supercomputer Deep Blue. It was a watershed moment in the history of technology....

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.

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.

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.

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.

No longer an uncertain technology of the distant future, artificial intelligence is starting to shape every aspect of our daily lives, from how we think to who we love. In this urgent polemic, leading barrister Susie Alegre explores the ways in which artificial intelligence threatens our fundamental human rights—including the rights to life, liberty and fair trial; the right to private and family life; and the right to free expression—and how we protect those rights.

Whether we like it or not, the AI revolution is coming to education. In Brave New Words, Salman Khan, the visionary behind Khan Academy, explores how artificial intelligence and GPT technology will transform learning, offering a roadmap for teachers, parents, and students to navigate this exciting (and sometimes intimidating) new world. An insider in the world of education technology, Khan explains the ins and outs of these cutting-edge tools and how they will forever change the way we learn and teach.

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.

Feeling left behind in the AI revolution? Generative AI: Beginners Guide demystifies artificial intelligence, offering a clear, step-by-step roadmap to unlock its potential—no technical background required.

Just months ago, millions of people were stunned by ChatGPT's amazing abilities–and its bizarre hallucinations. But that was 2022. GPT-4 is now here, with smarter, more accurate, and deeper technical knowledge. GPT-4 and its competitors and followers are on the verge of transforming medicine. But with lives on the line, you need to understand these technologies–stat.

Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.

Our fascination with AI stems from the perceived uniqueness of human intelligence. We believe it's what differentiates us. Fears of AI not only concern how it invades our digital lives, but also the implied threat of an intelligence that displaces us from our position at the centre of the world. Neil D. Lawrence's visionary book shows why these fears may be misplaced. By contrasting our own intelligence with the capabilities of machine intelligence through history, The Atomic Human reveals the technical origins, capabilities and limitations of AI systems, and how they should be wielded.

Did you know that ChatGPT already boasts a community of over 100 million users? That's 100 million opportunities to make a splash in a still-young market. So, if you're tired of sitting on the sidelines, watching others take the prize, this guide is your game-changer, your treasure map, and your ticket to the big leagues — all powered by ChatGPT.

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 best-selling author Martin Ford uncovers the truth behind these questions from some of the brightest minds in the artificial intelligence community.

AI is coming fast and will affect every part of a business, including the role of the leader. And up until now, leaders have largely ceded their role in the transformation-pushing determination of strategy out to tech teams and leaving investment decisions with groups that don't have a full view of the organization. Just when responsible leadership is more imperative than ever, leaders are not stepping up to understand and execute in the new world of human-machine collaboration. A generation of AI transformation failures awaits if leaders don't connect their use of AI to their strategies.

To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making.