Computer Science Technology

This provocative book introduces a brand-new view of technology. It suggests that technology as a whole is not a jumble of wires and metal but a living, evolving organism that has its own unconscious needs and tendencies. Kevin Kelly looks out through the eyes of this global technological system to discover "what it wants." He uses vivid examples from the past to trace technology's long course and then follows a dozen trajectories of technology into the near future to project where technology is headed.

Two defense experts explore the collision of war, politics, and social media, where the most important battles are now only a click away. Through the weaponization of social media, the Internet is changing war and politics, just as war and politics are changing the Internet. Terrorists livestream their attacks, “Twitter wars” produce real world casualties, and viral misinformation alters not just the result of battles, but the very fate of nations. The result is that war, tech, and politics have blurred into a new kind of battlespace that plays out on our smartphones.

Artificial intelligence is amplifying human ingenuity and disrupting the foundations of health care, military, entertainment, education, marketing and manufacturing. Artificial Intelligence and the Future of Power argues that this AI-driven revolution will have an unequal impact on different segments of humanity. There will be new winners and losers, new haves and have-nots, resulting in an unprecedented concentration of wealth and power.

Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever "speak for themselves."

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.

Paper is one of the simplest and most essential pieces of human technology. For the past two millennia, the ability to produce it in ever more efficient ways has supported the proliferation of literacy, media, religion, education, commerce, and art; it has formed the foundation of civilizations, promoting revolutions and restoring stability.

How did a simple design error cause one of the great disasters of the 1980s - the collapse of the walkways at the Kansas City Hyatt Regency Hotel? What made the graceful and innovative Tacoma Narrows Bridge twist apart in a mild wind in 1940? How did an oversized waterlily inspire the magnificent Crystal Palace, the crowning achievement of Victorian architecture and engineering? These are some of the failures and successes that Henry Petroski, author of the acclaimed The Pencil, examines in this engaging, wonderfully literate book.

Simply Electrifying: The Technology That Transformed the World, from Benjamin Franklin to Elon Musk brings to life the 250-year history of electricity through the stories of the men and women who used it to transform our world: Benjamin Franklin, James Watt, Michael Faraday, Samuel F.B. Morse, Thomas Edison, Samuel Insull, Albert Einstein, Rachel Carson, Elon Musk, and more. In the process, it reveals for the first time the complete, thrilling, and often dangerous story of electricity's historic discovery, development, and worldwide application.

In Cybersecurity and Cyberwar: What Everyone Needs to Know®, New York Times best-selling author P. W. Singer and noted cyberexpert Allan Friedman team up to provide the kind of deeply informative resource book that has been missing on a crucial issue of 21st-century life. Written in a lively, accessible style, filled with engaging stories and illustrative anecdotes, the book is structured around the key question areas of cyberspace and its security: how it all works, why it all matters....

In Data and Goliath, Schneier reveals the full extent of surveillance, censorship, and propaganda in society today, examining the risks of cybercrime, cyberterrorism, and cyberwar. He shares technological, legal, and social solutions that can help shape a more equal, private, and secure world. This is an audiobook to which everyone with an Internet connection - or bank account or smart device or car, for that matter - needs to listen.

Artificial Intelligence for Dummies is the ideal starting point for anyone seeking a deeper technological understanding of how artificial intelligence works and what promise it holds for the future.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us - and to make decisions on our behalf. But alarm bells are ringing. Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole - and appear to assess black and white defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And autonomous vehicles on our streets can injure or kill.

Following his blockbuster biography of Steve Jobs, The Innovators is Walter Isaacson’s revealing story of the people who created the computer and the Internet. It is destined to be the standard history of the digital revolution and an indispensable guide to how innovation really happens. What were the talents that allowed certain inventors and entrepreneurs to turn their visionary ideas into disruptive realities? What led to their creative leaps? Why did some succeed and others fail?

This Is Not a Game is the extraordinary untold story of the internet’s first conspiracy theory, the legend of Ong’s Hat. Marc Fennell will dive deep into a previously unexplored world of tech hippies, eccentric web subcultures and simmering paranoia, uncovering how this tongue-in-cheek artistic experiment backfired on its creator and went on to influence much of what’s wrong with the internet today.

In his book To Catch a Predator, Chris Hansen, the on-air correspondent for one of Dateline's most successful series, looks deeper into the world of child predators. The book expands beyond the Dateline series to include more commentary from psychological and criminal experts about the origins and methods of child predators, and includes substantive advice for both parents and children on how to protect kids who use the Internet.

The history of computing could be told as the story of hardware and software or the story of the Internet or the story of "smart" handheld devices, with subplots involving IBM, Microsoft, Apple, Facebook, and Twitter. In this concise and accessible account of the invention and development of digital technology, computer historian Paul Ceruzzi offers a broader and more useful perspective. He identifies four major threads that run throughout all of computing's technological development.

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

AI for Marketing and Product Innovation offers creatives and marketing professionals a non-tech guide to artificial intelligence (AI) and machine learning (ML) - twin technologies that stand poised to revolutionize the way we sell. This book helps you lean into the curve and take advantage of AI's unparalleled and rapidly expanding power. More than a simple primer on the technology, this book goes beyond the "what" to reveal the "how".

Classic Computer Science Problems in Python sharpens your CS problem-solving skills with time-tested scenarios, exercises, and algorithms, using Python. You'll tackle dozens of coding challenges, ranging from simple tasks like binary search algorithms to clustering data using k-means. You'll especially enjoy the feeling of satisfaction as you crack problems that connect computer science to the real-world concerns of apps, data, performance, and even nailing your next job interview!

For over three decades, Ray Kurzweil has been one of the most respected and provocative advocates of the role of technology in our future. In his classic The Age of Spiritual Machines, he argued that computers would soon rival the full range of human intelligence at its best. Now he examines the next step in this inexorable evolutionary process: The union of human and machine, in which the knowledge and skills embedded in our brains will be combined with the vastly greater capacity, speed, and knowledge-sharing ability of our creations.