Computer Science Technology

Those of you living through the next 30 years will become the most powerful creatures that have ever existed. You will have the opportunity and the duty to create a decidedly better world. Experience and maturity alone cannot provide the required wisdom fast enough. You will need to maximize your innate potential to accelerate wisdom. The Potentialist: Your Future in the New Reality of the Next Thirty Years explains the first steps to achieve your potential and accelerate wisdom. You will discover how forces of change create a New Reality by breaking down the one we know.

Instructional design offers powerful ways to build training and teach new skills, but its methods run DEEP. Finding a clear, easy-to-follow path can be frazzling. Where do you even start? Whether you’re a new instructional designer, looking to transition from another job, or tasked with training for your organization, this book will help get you rolling! We’ll dig into examples and spin tips, tactics, and research-backed learning principles into a professional workflow.

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.

In an unparalleled collaboration, two leading global thinkers in technology and foreign affairs give us their widely anticipated, transformational vision of the future: a world where everyone is connected - a world full of challenges and benefits that are ours to meet and to harness. Eric Schmidt is one of Silicon Valley’s great leaders, having taken Google from a small startup to one of the world’s most influential companies. Jared Cohen is the director of Google Ideas and a former adviser to secretaries of state Condoleezza Rice and Hillary Clinton.

In Generative AI: Navigating the Course to the Artificial General Intelligence Future, Martin Musiol delivers an incisive and one-of-a-kind discussion of the current capabilities, future potential, and inner workings of generative artificial intelligence. In the book, you'll explore the short but eventful history of generative artificial intelligence, what it's achieved so far, and how it's likely to evolve in the future. You'll also get a peek at how emerging technologies are converging to create exciting new possibilities in the GenAI space.

One of Michiko Kakutani's (New York Times) top 10 books of 2016. A funny thing happened on the way to the digital utopia. We've begun to fall back in love with the very analog goods and ideas the tech gurus insisted that we no longer needed. Businesses that once looked outdated, from film photography to brick-and-mortar retail, are now springing with new life. Notebooks, records, and stationery have become cool again.

This book is designed to reveal secret techniques and equip you with real-world, immediate applications for various coding and development challenges. Each scenario unveils a unique situation, offers a specific prompt, and explores the robust and insightful response from ChatGPT. But the book hides more—it delves deep into instructive commentary, unveiling hidden insights on each scenario, providing a deeper understanding and larger context.

One key responsibility of product designers and UX practitioners is to conduct formal and informal research to clarify design decisions and business needs. But there’s often mystery around product research, with the feeling that you need to be a research Zen master to gather anything useful. But anyone can conduct product research. With this quick reference guide, you’ll learn a common language and set of tools to help you carry out research in an informed and productive manner.

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.

Unleash the power of Generative AI in less than 30 days. Turn tech curiosity into a practical skillset even if you're a beginner. Don't let your perception of what's difficult hold you back. This book is designed specifically with simplicity in mind, tailored for those who may be stepping into the world of AI for the first time. It is packed with interactive, up-to-date exercises and real-world applications, that will guide you every step of the way, ensuring that you stay connected to the most relevant and useful topics in AI.

Law today is incomplete, inaccessible, unclear, underdeveloped, and often perplexing to those whom it affects. In The Legal Singularity, Abdi Aidid and Benjamin Alarie argue that the proliferation of artificial intelligence-enabled technology–and specifically the advent of legal prediction–is on the verge of radically reconfiguring the law, our institutions, and our society for the better.

Digital Apollo examines the design and execution of each of the six Apollo moon landings, drawing on transcripts and data telemetry from the flights, astronaut interviews, and NASA's extensive archives. Mindell's exploration of how human pilots and automated systems worked together to achieve the ultimate in flight - a lunar landing - traces and reframes the debate over the future of humans and automation in space.

Since the internet's earliest days, people have died and mourned online. In quiet corners of past iterations of the web, the dead linger. But attempts at preserving the data of the dead are often ill-fated, for websites and devices decay and die, just as people do. Death disrupts technologists' plans for platforms. It reveals how digital production is always collaborative, undermining the entrepreneurial platform economy and highlighting the flaws of techno-solutionism.

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.

In this celebration of the seemingly mundane, Carlsen opens our eyes to the engineering marvels, human stories, and natural wonders right outside our front door. He guides us through the surprising allure of sewers, the intricacies of power plants, the extraordinary path of an everyday letter, and the genius of recycling centers — all the while revealing that this awesome world isn’t just a spectator sport. Engaging as it is endearing, A Walk Around the Block will change the way you see things in your everyday life.

The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. In Ethical Machines, Reid Blackman gives you all you need to understand AI ethics as a risk management challenge. He'll help you build, procure, and deploy AI in a way that's not only ethical but also safe in terms of your organization's reputation, regulatory compliance, and legal standing—and do it at scale. And don't worry—the book's purpose is to get work done, not to ponder deep and existential questions about ethics and technology.

As humans compete for work against faster, cheaper, and smarter technology, the flood of AI-generated information undermines traditional expertise, eroding essential skills like writing, analysis, and decision-making. Despite these challenges, AI presents immense opportunities for those who master its intricacies, such as driving innovation, improving efficiency, and creating new markets. Can we thread the needle balancing the immeasurable benefits with the profound risks that AI presents to our future?

As AI becomes smarter and more humanlike, our societies, our economies, and our humanity will undergo the most dramatic changes we've seen since the Agricultural Revolution. Some of these changes will enhance our species. Others may dehumanize us and make us more machinelike in our interactions with others. It's up to us to adapt and determine how we want to live and work. Are you ready? In I, Human psychologist Tomas Chamorro-Premuzic offers a guide for reclaiming ourselves in a world in which most of our decisions will be made for us.

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.

"You look like a thing and I love you" is one of the best pickup lines ever...according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans — all to understand the technology that governs so much of our daily lives.