Computer Science Technology

Ninteen ninety-four, Northern California. The Internet is just emerging from its origins in the military and university research labs. Groups of idealistic technologists, recognizing its potential as a tool for liberation and solidarity, are working feverishly to build the network. In the early chat rooms of one such gathering, soon-to-become-famous as The WELL, a Stanford futurist named Tom Mandel creates a new conference. In a topic headed "Local Bug Report", he asks for advice from fellow online participants about how he might shake off a persistent hacking cough.

Computer science is a field that deals with the study of computers and computational systems. It encompasses both the theoretical and practical aspects of computing, including algorithms, data structures, programming languages, software engineering, and more. It's about understanding how computers work, how they can solve problems, and how they interact with humans and other systems.

If artificial intelligence takes over decision-making what, then, is unique and irreplaceable about human intelligence? The Atomic Human is a journey of discovery to the core of what it is to be human, in search of the qualities that cannot be replaced by the machine. Neil Lawrence brings a timely, fresh perspective to this new era, recounting his personal journey to understand the riddle of intelligence. 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.

Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything? The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.”

Claude Shannon was a tinkerer, a playful wunderkind, a groundbreaking polymath, and a digital pioneer whose insights made the Information Age possible. He constructed fire-breathing trumpets and customized unicycles, outfoxed Vegas casinos, and built juggling robots, but he also wrote the seminal text of the Digital Revolution. That work allowed scientists to measure and manipulate information as objectively as any physical object. His work gave mathematicians and engineers the tools to bring that world to pass.

From the telegraph and telephone in the 1800s to the internet and social media in our own day, the public has welcomed new communication systems. Whenever people gain more power to share information, the assumption goes, society prospers. Superbloom tells a startlingly different story. As communication becomes more mechanized and efficient, it breeds confusion more than understanding, strife more than harmony. Media technologies all too often bring out the worst in us.

As Nazi Germany launched its campaign of racial terror and pushed the world toward war, three misfits banded together to challenge Hitler’s dominance at the apex of motorsport: the Grand Prix. Their quest for redemption culminated in a remarkable race that is still talked about in racing circles to this day - but which, soon after it ended, Hitler attempted to completely erase from history.

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

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.

Since the global financial crisis of 2008, people have increasingly lost trust in institutions and elites, while seizing upon new digital tools to sidestep traditional gatekeepers. As a result, powerful new voices—once regarded as radical, unorthodox, or marginal—are disrupting the status quo in politics, business, and culture. Meanwhile, social and economic inequalities are stoking populist rage across the world, toxic partisanship is undermining democratic ideals, and the internet and AI have become high-speed vectors for the spread of misinformation.

Now, in the first book ever written about this ultrasecretive department, the former director of OTS teams up with an internationally renowned intelligence historian to give listeners an unprecedented look at the devices and operations deemed "inappropriate for public disclosure" by the CIA just two years ago.

For centuries, we’ve relied on polling or small-scale lab experiments to study human behavior. Today, a new approach is possible. As we live more of our lives online, researchers can finally observe us directly, in vast numbers, and without filters. Data scientists have become the new demographers.

The term metaverse is suddenly everywhere, from debates over Fortnite to the pages of the New York Times to the speeches of Mark Zuckerberg, who proclaimed in June 2021 that “the overarching goal” of Facebook is to “bring the metaverse to life”. But what, exactly, is the metaverse? As pioneering theorist and venture capitalist Matthew Ball explains, it is the successor to the mobile internet that has defined the last two decades.

Twitter seems like a perfect start-up success story. In barely six years, a small group of young, ambitious programmers in Silicon Valley built an $11.5 billion business out of the ashes of a failed podcasting company. Today Twitter boasts more than 200 million active users and has affected business, politics, media, and other fields in innumerable ways.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

- Do you want to use ChatGPT… but think it is too hard? - Need to boost your productivity with the help of AI? - Want to become a ChatGPT Pro in less than 7 days? If you answered yes to any of these questions, then keep reading... Bestselling author and experienced AI teacher David M. Patel is going to show you step-by-step in 15 easy lessons (and included free ChatGPT Video Course) how to learn, master and excel in ChatGPT... even if you have never used ChatGPT in your life!

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.

In this accessible, up-to-date, and authoritative examination of the world’s most radical technology, neuroscientist and AI researcher Christopher Summerfield explores what it really takes to build a brain from scratch. We have entered a world in which disarmingly human-like chatbots, such as ChatGPT, Claude and Bard, appear to be able to talk and reason like us—and are beginning to transform everything we do. But can AI ‘think’, 'know' and ‘understand’? What are its values? Whose biases is it perpetuating? Can it lie and if so, could we tell? Does their arrival threaten our very existence?

Make Noise brings all the wisdom, advice, practical information, and big-picture thinking that any individual or business needs to make a successful podcast. He identifies core principles - such as create empathetically, i.e., think like the audience listens, and stay focused on what’s unique to you and what you have to say. He helps listeners come up with a “Ten Word Description” that will guide them throughout the creative process and then gets into how-tos - how to develop character, story, voice, and more.

Are you looking for an exciting and dynamic career in the tech industry? Look no further than data centers! Data centers are the backbone of the digital age. And now, with Jumpstart Your Career in Data Centers by Carrie Goetz, you can kickstart your career in this exciting field!