Computer Engineering

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.

This audiobook delivers a variety of computer networking-related topics to be easily understood by beginners. It focuses on enabling you to create a strong foundation of concepts of some of the most popular topics in this area.

Need networking know-how, but don't know where to turn? Run-don't walk-to the no-nonsense networking guidance offered in this friendly guide! Whether you're a networking administrator or an everyday computer user looking to set up a network in your home or office, Networking for Dummies, seamlessly gets you connected with the basics and gives you the knowledge to work out whatever kinks may come your way-in no time.

Step into the future with The Art of Prompt Engineering: Mastering Intelligent Conversations with ChatGPT for Breakthrough Results! Jordan Ashwood guides you through the art of crafting effective, context-aware prompts that turn ChatGPT into a responsive and insightful conversational partner.

In the gripping Never Panic Early, Fred Haise, Lunar Module Pilot for Apollo 13, offers a detailed firsthand account of when disaster struck three days into his mission to the moon. An oxygen tank exploded, a crewmate uttered the now iconic words, “Houston, we’ve had a problem here,” and the world anxiously watched as one of history’s most incredible rescue missions unfolded. Haise brings listeners into the heart of his experience on the challenging mission—considered NASA’s finest hour—and reflects on his life and career as an Apollo astronaut.

Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.

Software startups make global headlines every day. As technology companies succeed and grow, so do their engineering departments. In your career, you'll may suddenly get the opportunity to lead teams: to become a manager. But this is often uncharted territory. How can you decide whether this career move is right for you? And if you do, what do you need to learn to succeed? Where do you start? How do you know that you're doing it right? What does "it" even mean? And isn't management a dirty word? This book will share the secrets you need to know to manage engineers successfully.

We've all found ourselves checking email at the dinner table, holding our breath while waiting for Outlook to load, or sitting hunched in front of a screen for an hour longer than we intended. Mobile devices and the web have invaded our lives, and this is a big idea book that addresses one of the biggest questions of our age: Can we stay connected without diminishing our intelligence, attention spans, and ability to really live? Can we have it all?

Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.

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.

This book is the first to examine the history of imaginative thinking about intelligent machines. As real Artificial Intelligence (AI) begins to touch on all aspects of our lives, this long narrative history shapes how the technology is developed, deployed, and regulated. It is therefore a crucial social and ethical issue. Part I of this book provides a historical overview from ancient Greece to the start of modernity. Part II focuses on the 20th and 21st centuries in which a greater density of narratives emerge alongside rapid developments in AI technology.

A Human Algorithm: How Artificial Intelligence Is Redefining Who We Are examines the immense impact intelligent technology will have on humanity. These machines, while challenging our personal beliefs and our socio-economic world order, also have the potential to transform our health and well-being, alleviate poverty and suffering, and reveal the mysteries of intelligence and consciousness. International human rights attorney Flynn Coleman deftly argues that it is critical we instill values, ethics, and morals into our robots, algorithms, and other forms of AI.

From author Earl Swift comes the surprising history of the U.S. interstate system, a fascinating route through the dreams, discoveries, and protests that shaped these mighty roads.

At most technology companies, you'll reach Senior software engineer, the career level for software engineers, in five to eight years. At the career level, your company's career ladder won't require that you work towards the next promotion; being promoted further is an exception rather than expected. This is also when many engineers are first given an opportunity to move into engineering management.

Few books on software project management have been as influential and timeless as The Mythical Man-Month. With a blend of software engineering facts and thought-provoking opinions, Fred Brooks offers insight for anyone managing complex projects. These essays draw from his experience as project manager for the IBM System/360 computer family and then for OS/360, its massive software system.

You probably don't realize that your supermarket is filled with foods that have a military origin: canned goods, packaged deli meats, TV dinners, cling wrap, energy bars…the list is almost endless. In fact, there's a watered-down combat ration lurking in practically every bag, box, can, bottle, jar, and carton Americans buy. Anastacia Marx de Salcedo shows how the Department of Defense Combat Feeding Directorate plans, funds, and spreads the food science that enables it to produce cheap, imperishable rations.

Transform your career prospects with this practical, no-fluff guide to Python programming. Whether you're looking to land a tech job, start freelancing, or launch profitable side hustles, this audiobook is your fast track to success.

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.

"See for yourself!" was the clarion call of the 1600s. Natural philosophers threw off the yoke of ancient authority, peered at nature with microscopes and telescopes, and ignited the scientific revolution. Artists investigated nature with lenses and created paintings filled with realistic effects of light and shadow. The hub of this optical innovation was the small Dutch city of Delft.

Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.