Computer Science Technology

Your AI Roadmap is not just an advice book, it's a modern blueprint for your career and income. One part modern careers and one part wealth building, this book is your guide to securing financial success. With humor and data-driven examples, serial entrepreneur, investor, and AI influencer Dr. Joan Palmiter Bajorek provides fresh and tactical career advice as well as ways to expand your income and get your finances in order in a world where artificial intelligence layoffs are announced daily.

Bestselling children's author Andy Stanton has made a career out of writing differently—from the unconventional ‘hero' of his bestselling Mr Gum series to his penchant for absurdist plots, his children's books are anything but formulaic. When a friend introduces him to ChatGPT, the new large language chatbot, Andy is as sceptical as he is curious. Can this jumble of algorithms really mimic the spontaneity of human thought? Could it one day replace human authors like him for good? And are we soon to be ruled over by despotic robot overlords.

What will it take to restore balance to our world, repair past injustices, and support future generations' survival? Looking deeply into the web of life that created and supports us, and drawing inspiration from diverse cultural traditions and perspectives, spirited thinkers Michael Pawlyn and Sarah Ichioka propose a bold set of regenerative principles with potential to transform how we design, make, and manage our buildings; infrastructure; and communities.

Most of us take for granted that our books are vertical on our shelves with the spines facing out, but Henry Petroski, inveterately curious engineer, didn’t. As a result, listeners are guided along the astonishing evolution from papyrus scrolls boxed at Alexandria to upright books shelved at the Library of Congress. Petroski takes us into the pre-Gutenberg world, when books were so scarce they were chained to lecterns for security.

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.

Künstliche Intelligenz: Expertenwissen gegen Hysterie. Der renommierte Gehirnforscher, Psychiater und Bestseller-Autor Manfred Spitzer ist ein ausgewiesener Experte für neuronale Netze, auf denen KI aufbaut. Sein topaktuelles Hörbuch über künstliche Intelligenz informiert, klärt auf – und macht klar, dass niemand vorhersehen kann, ob mit KI Rettung oder Untergang auf die Menschheit zukommt. »Wir brauchen nicht darüber nachzudenken, ob eine allgemeine KI irgendwann Bewusstsein hat oder die Menschheit vernichtet – das ist Science Fiction.«

Some of engineering's mightiest achievements are small in scale, even hidden—and yet, without them, the complex machinery on which our modern world runs would not exist. In Nuts and Bolts, Roma Agrawal examines seven of these extraordinary elements: the nail, the wheel, the spring, the lens, the magnet, the string, and the pump. From the physics behind both Roman nails and modern skyscrapers to rudimentary springs that inspired lithium batteries, Agrawal shows us how even the most sophisticated items are built on the foundations of these ancient and fundamental breakthroughs in engineering.

The idea that human history is approaching a "singularity" - that ordinary humans will someday be overtaken by artificially intelligent machines or cognitively enhanced biological intelligence, or both - has moved from the realm of science fiction to serious debate. Some singularity theorists predict that if the field of artificial intelligence (AI) continues to develop at its current dizzying rate, the singularity could come about in the middle of the present century.

Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library.

The Uncanny Muse explores the history of automation in the arts and delves into one of the most momentous and controversial aspects of AI: artificial creativity. The adoption of technology and machinery has long transformed the world, but as the potential for artificial intelligence expands, David Hajdu examines the new, increasingly urgent questions about technology's role in culture.

Advances in Generative Artificial Intelligence (GAI) have created a new class of computer systems that exhibit astonishing proficiency on a wide variety of tasks with superhuman performance, producing novel text, images, music, and software by analyzing enormous collections of digitized information. Soon, these systems will provide expert medical care; offer legal advice; draft documents; write computer programs; tutor our children; and generate music and art. These advances will accelerate progress in science, art, and human knowledge, but they will also bring new dangers.

In an era where the world seems to change faster than ever before, it can be daunting to keep up, especially when the rules of earning a living are being rewritten by technology. For those of us who have seen decades come and go, the idea of making money from the comfort of home—using nothing more than an internet connection and a willingness to learn—was once unimaginable. Yet here we are, standing at the crossroads of experience and innovation, with opportunities waiting around every digital corner.

If you can't explain the difference between AI, LLMs, and neural networks, identify who's building this future, or see the dark side—how can you possibly prepare for what's next? That ends now. AI: Understand the Revolution is your guide.

Future Skills 2030 is your guide to navigating the Fourth Industrial Revolution with confidence. As new technologies disrupt industries and redefine jobs, this audiobook helps you understand what’s happening, why it matters, and how to prepare. It explores the key forces shaping our future—AI, robotics, climate change, geopolitical shifts—and outlines the essential hard and soft skills you’ll need to stay relevant.

In today’s fast-paced digital world, maximizing productivity isn’t just about working harder—it’s about working smarter. AI-Powered Productivity Tools is your essential guide to understanding and leveraging artificial intelligence to streamline tasks, boost efficiency, and transform how you work and collaborate. This book demystifies the rapidly evolving landscape of AI-driven tools designed to handle repetitive tasks, optimize decision-making, enhance communication, and unlock creativity.

Every day, artificial intelligence is transforming the way we live, work, and interact. From the voice in your smartphone to the algorithms behind your favorite streaming service, AI isn’t just the future—it’s your present. If you’re not keeping up, you’re already falling behind. This audiobook will help you stay ahead, understand what’s happening, and make sense of how AI impacts your life, career, and world.

Digital technology can sometimes be overwhelming. Find out what computers are used for. Learn how to store information, search online, play games, and more.

Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning of modern convolutional neural networks, procedural reuse design pattern for CNN architectures, models for mobile and IoT devices, assembling large-scale model deployments, optimizing hyperparameter tuning, and migrating a model to a production environment.