Showing titles in Computer Science

Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.

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.

We are used to thinking of computers as being a step up from calculators - very good at storing information, and maybe even at playing a logical game like chess. But up to now they haven't been able to think in ways that are intuitive, or respond to questions as a human might. All that has changed, dramatically, in the past few years. Our search engines are becoming answer engines. Artificial intelligence is already revolutionising sectors from education to healthcare to the creative arts. But how does an AI understand sentiment or context?

In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm.

High-tech innovations are created at a dazzling speed, and it all points to a world that is getting faster at a dizzying pace. Azeem Azhar knows this better than most. Over the last three decades, he has founded companies bought by Amazon and Microsoft, served as the Economist’s first ever internet correspondent, and created a leading international tech newsletter and podcast, the Exponential View. Now, Azhar offers a revelatory new model for understanding how technology is changing the world.

The future is now. Artificial "machine" intelligence is playing an ever-greater role in our society. We are already using cruise control in our cars and automatic checkout at the drugstore and are unable to live without our smartphones. The discussion around AI is largely polarized; people think either machines will solve all problems for everyone or they will lead us down a dark, dystopian path into total human irrelevance. Regardless of what you believe, the idea that we might bring forth intelligent creation can be intrinsically frightening.

AI Revolution 2023: Harnessing Artificial Intelligence for Profitable Startups and Business Success is a thorough exploration of the profound impact artificial intelligence (AI) is making in the business world.

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.

Much has been written about the arrival of artificial intelligence, but according to political philosopher David Runciman, we've been living with AI for 300 years—because states and corporations are robots, too. In this mind-bending work, Runciman explains the modern world through the history of the "artificial agents" we created to rescue us from our all-too-human limitations. The Handover will forever change how we understand the history of the modern world as well as the immense challenges on the horizon.

ChatGPT is going to forever change how we use the internet. We currently live in a world where businesses are paying hundreds of dollars to people for writing engaging articles and blogs, and thousands of dollars per month for social media marketing and SEO.

Could extinct species, like mammoths and passenger pigeons, be brought back to life? The science says yes. In How to Clone a Mammoth, Beth Shapiro, evolutionary biologist and pioneer in "ancient DNA" research, walks listeners through the astonishing and controversial process of de-extinction.

What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award-winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth, to the labor pulled from low-wage information workers, to the data taken from every action and expression. This book reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity.

In response to recent popular accounts, scientist and philosopher John Lennox offers a Christian perspective on humanity's future with technological enhancement, bioengineering, and AI. Here is a thought-provoking, controversial, balanced, and engaging account of the problems raised by AI and the atheist conception of what it means to be human.

In ChatGPT and the Future of AI, the sequel to The Deep Learning Revolution, Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski answers all our urgent questions about this astonishing new technology.

In this book, I'll break down the complexities of AI into understandable, easy-to-apply concepts that anyone can grasp. Whether you are an entrepreneur, freelancer, student, or a nine-to-five employee, this book can help you adapt and know how to monetize. We provide different business examples, where you can use AI to scale quickly.

From making faster, better decisions to automating rote work to enabling robots to respond to emotions, AI and machine learning are already reshaping business and society. What should you and your company be doing today to ensure that you're poised for success and keeping up with your competitors in the age of AI? Artificial Intelligence: The Insights You Need from Harvard Business Review brings you today's most essential thinking on AI and explains how to launch the right initiatives at your company to capitalize on the opportunity of the machine intelligence revolution.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named "Island" where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables.

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.

As advances in AI spark fear and confusion, The Mind’s Mirror reminds us that in spite of the very real and pressing challenges, AI is a force with enormous potential to improve human life. Computer scientist and AI researcher Daniela Rus, along with science writer Gregory Mone, offers an expert perspective as a leader in the field who has witnessed many technological hype cycles. Rus and Mone illustrate the ways in which AI can help us become more productive, knowledgeable, creative, insightful, and even empathetic, as well as the many risks associated with misuse.