Computer Science Technology

Though created by humans, our technologies, markets, and institutions often contain an antihuman agenda. Douglas Rushkoff, digital theorist and host of the NPR-One podcast Team Human, reveals the dynamics of this antihuman machinery and invites us to remake these aspects of society in ways that foster our humanity. In 100 aphoristic statements, his manifesto exposes how forces for human connection have turned into ones of isolation and repression.

Scattered across the world, an elite team of code crackers is working tirelessly to thwart the defining cyber scourge of our time. You’ve probably never heard of them. But if you work for a school, a business, a hospital, or a municipal government, or simply cherish your digital data, you may be painfully familiar with the team’s sworn enemy: ransomware. Again and again, an unlikely band of misfits, mostly self-taught and often struggling to make ends meet, have outwitted the underworld of hackers who lock computer networks and demand huge payments in return for the keys.

In Places of the Heart, Colin Ellard explores how our homes, workplaces, cities, and nature - places we escape to and can’t escape from - have influenced us throughout history and how our brains and bodies respond to different types of real and virtual space. As he describes the insight he and other scientists have gained from new technologies, he assesses the influence these technologies will have on our evolving environment and asks what kind of world we are, and should be, creating.

Leading innovation expert Alec Ross explains what's next for the world, mapping out the advances and stumbling blocks that will emerge in the next 10 years - for businesses, governments, and the global community - and how we can navigate them.

AI + The New Human Frontier: Reimagining the Future of Time, Trust + Truth by Erica Orange, a renowned futurist, offers a compelling exploration of generative AI's potential to enhance human creativity rather than replace it. This pivotal book navigates how AI tools will help shape the human experience, and aid in augmenting human ingenuity and imagination.

Barely 50 years ago a computer was a gargantuan, vastly expensive thing that only a handful of scientists had ever seen. The world's brightest engineers were stymied in their quest to make these machines small and affordable until the solution finally came from two ingenious young Americans. Jack Kilby and Robert Noyce hit upon the stunning discovery that would make possible the silicon microchip, a work that would ultimately earn Kilby the Nobel Prize for physics in 2000.

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.

Unlock the transformative potential of generative AI for your enterprise with "Understanding Generative AI for Business Leaders." This indispensable guide simplifies the complex world of AI, offering a beginner-friendly introduction and practical strategies for effective and ethical integration.

This book takes the mystery out of computer programming. Learn about coding, algorithms, and more.

In today’s rapidly evolving digital landscape, the emergence of generative artificial intelligence (AI) has marked a pivotal shift in how businesses operate, innovate, and compete. “The A-Z of Generative AI—A Guide to Leveraging AI for Business” is not a technical manual filled with jargon; instead, it’s a comprehensive guide designed specifically for non-technical audiences. It breaks down the complex world of Generative AI into understandable, bite-sized pieces, making it accessible to everyone, regardless of their technical background.

In this provocative book, Ramesh Srinivasan describes the internet as both an enabler of frictionless efficiency and a dirty tangle of politics, economics, and other inefficient, inharmonious human activities. We may love the immediacy of Google search results, the convenience of Amazon, and the elegance of our Apple devices, but it’s a one-way, top-down process. We’re not asked for our input or our opinions - only for our data. The internet is brought to us by wealthy technologists in Silicon Valley and China. Srinivasan argues that we must think in terms beyond the Valley.

Michael Kearns and Aaron Roth explain how we can better embed human principles into machine code - without halting the advance of data-driven scientific exploration.

From 2016 to 2020, Jacob Helberg led Google’s global internal product policy efforts to combat disinformation and foreign interference. During this time, he found himself in the midst of what can only be described as a quickly escalating two-front technology cold war between democracy and autocracy.

Welcome to the exciting world of AI-powered trading bots for executing options trades. In this subchapter, we will explore the fundamentals of AI and option trading, providing you with a solid foundation to begin your journey into the world of trading stocks and options. Whether you are a novice trader looking to learn the basics or an experienced investor seeking to leverage the power of AI technology in your trading strategies, this subchapter is designed to help you understand the key concepts and principles that drive success in the world of option trading.

Most of us spend a significant part of the day in front of a screen. Our work and social lives play out through our computers, tablets and phones: on email, social media, video conference calls and gaming servers. But what is all this screen time doing to our health, our sleep, and our relationships? Professor Pete Etchells studies the way we use screens, and how they can affect us. In UNLOCKED, he delves into the real science behind the panic about our alleged device addiction and withering attention spans.

A smart, lively history of the Internet free culture movement and its larger effects on society - and the life and shocking suicide of Aaron Swartz, a founding developer of Reddit and Creative Commons - from Slate correspondent Justin Peters.

The confluence of four technologies - elastic cloud computing, big data, artificial intelligence, and the internet of things - writes Siebel, is fundamentally changing how business and government will operate in the 21st century. Siebel masterfully guides listeners through a fascinating discussion of the game-changing technologies driving digital transformation and provides a roadmap to seize them as a strategic opportunity.

The beauty of ChatGPT is that it does the heavy lifting for you, giving you all the time to focus on your full-time job, while your personal AI employee works round the clock to deliver results. This is the new realm of opportunities, where earning money is less of a grind and more of having your very own AI assistants. The only question is… are you ready to step into this future? This is the tech revolution you’ve been waiting for — leave the headaches of traditional businesses behind and let AI transform how you earn money today.

Dozens of times per day, we all interact with intelligent machines that are constantly learning from the wealth of data now available to them. These machines are remaking the world of the 21st century in the same way that the Industrial Revolution remade the world of the 19th century. AIQ is based on a simple premise: If you want to understand the modern world, then you have to know a little bit of the mathematical language spoken by intelligent machines. AIQ will teach listeners that language - but in an unconventional way, anchored in stories rather than mathematics.

Can a well-programmed machine do anything a human can - only better? Complex algorithms are buying our groceries, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we've taken solace in the notion that they can't create. But now that algorithms can learn and adapt, does the future of creativity belong to machines too?