Computer Science Theory

Behind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permitted the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.  

Serial nonfiction, now complete, about how American institutions stopped seeing the people inside them. Its legal frameworks, corporate forms, and metrics count money precisely and are blind to almost everything else. AI inherited that blindness and uses it to transfer power from the people systems act on to the corporations that own them. No one decided this; the structures simply produce it.

The first time I used a computer, it intrigued me to know how these interfaces work. In this audiobook, you’ll learn the same way I did.

Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.

Learn Claude from beginner to mastery, even if you have never used AI before. Learning Claude from Beginner to Mastery is an unofficial, plain-English guide to using Claude AI for writing, research, planning, productivity, automation, business, coding support, and real-world workflows. This book is designed for complete beginners, busy professionals, entrepreneurs, freelancers, students, creators, and non-technical users who want to stop guessing and start getting useful results from Claude. You do not need coding experience. You do not need a technical background.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

A "fascinating book" that will revolutionize our understanding of the brain and the future of AI (Financial Times) For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered...

Nobody is hiring. Or at least that's how it feels. You did everything you were told to do. You earned the degree. You followed the rules. You applied for dozens, maybe hundreds, of jobs. And yet the interviews never come. The problem is not that you are lazy. The problem is not that you are unqualified. The world of work is changing faster than most people realize. Artificial intelligence is reshaping industries, automating routine tasks, and eliminating many of the traditional entry-level positions that once served as the first step into a career. The ladder still exists.

KI ist in deutschen Unternehmen angekommen. Nicht als Zukunftsvision, sondern als tägliche Realität. Die Frage lautet nicht mehr ob, sondern wer diesen Wandel gestaltet. Dieses Hörbuch richtet sich an Führungskräfte, die bereits Verantwortung tragen: Abteilungsleiter, Bereichsleiter, Geschäftsführer. Menschen, die unter echtem Druck urteilen, Teams durch Veränderungen führen und Entscheidungen verantworten, deren Grundlagen sich gerade verschieben. Kein Silicon-Valley-Hype. Keine Technologievorlesung. Sondern klare Antworten auf die Fragen, die wirklich zählen: Was kann KI tatsächlich leisten?

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.

In the Age of AI, the constraint has shifted from producing outputs to delivering outcomes. As AI automates knowledge work at unprecedented scale, most organizations remain trapped measuring the wrong things—lines of code, features delivered, and other outputs that AI can now produce almost for free. The real constraint has shifted to organizational structure and the ability to turn strategy into measurable business outcomes.

Mientras tú sigues probando prompts al azar, alguien en tu mismo sector acaba de automatizar el 40% de su trabajo. No tiene más talento que tú. Tiene un sistema. Y tú todavía no. La inteligencia artificial ya no es una promesa del futuro. Es la línea que separa a quienes multiplican resultados de quienes se quedan atrás repitiendo tareas que una máquina hace en segundos. Y lo peor no es quedarse atrás—es esa sensación de estar rodeado de herramientas poderosas sin saber cuál tocar primero, ni cómo, ni para qué. Nada encaja. Nada se convierte en un resultado real.

From a Commodore 64 to the frontlines of cyber warfare... this is twenty-five years of cybersecurity, told by someone who lived every year of it. The first computer I ever touched was a friend's Commodore 64. I was ten years old. By thirteen, I was copying BASIC code from magazines, debugging programs one mistyped character at a time, and dialing into bulletin board systems with a 9600 baud modem until a $397 phone bill ended my online adventures overnight. That curiosity never stopped. It just found a mission.

Have you ever wondered what the next century bodes for humanity? Then keep listening... As mankind seeks to guide its own evolution and create intelligent machines, we stand at the brink of doing something no other living being has ever done before. The power to prolong life far beyond natural limits and beat back death itself. The ability to control computers and machines with our minds, and even merge with them. We are poised to become gods.

A seismic shift is underway—one that will redefine work, value, and even what it means to be human. Artificial Intelligence is not just disrupting industries—it’s beginning to outperform humans in areas once considered exclusively ours: complex reasoning, creativity, even emotional...

You've asked ChatGPT to write the email, and it wrote the email. You're quicker than you were a year ago. And at the end of the month, nothing about your income has changed. That isn't a tools problem. Faster manual work is still manual work. The people actually making money with AI didn't find a better prompt. They built something that keeps running when they're not at the desk—and then they fixed what they charge for it. This collection is that build, in four parts. No code. No engineering background. Ten to twenty hours a week.

AI agent technology is changing fast! This totally revised Second Edition of "AI Agents in Action" by Micheal Lanham guides you through the latest breakthroughs in large language model (LLM)-powered autonomy, from the Model Context Protocol (MCP) to advanced multi-agent collaboration and deployment. Whether you're upgrading your customer service systems, creating a research assistant, or deploying a fleet of internal agents to automate enterprise tasks, this hands-on guide will help you build trustworthy agents that can handle high-stakes tasks.

In this audiobook, you'll get a clear overview of artificial intelligence technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. 

In Artificial Organizations, Barry O'Reilly shows how to redesign how you sense, frame, decide, and act with human and machine intelligence. You begin by identifying the traits that make you most effective, then the tasks where you create disproportionate value. Only then do you apply AI tools—so they sharpen judgment, not noise.

Eight or nine out of every ten businesses that go to market never sell. And the owners who do sell typically lose 30 to 50 percent of the price in fees and taxes. A $5 million business, sold the traditional way, leaves its owner with around $3 million. Twenty-five years of work, nearly half of it gone. Not to bad luck. To a game with rules nobody ever taught you. In late 2020, Marc Adams was diagnosed with stage four cancer and given six months to live.