Machine Intelligence

With predictions of AI global market value reaching an unbelievable $190 billion by 2030, this is a 21st-century marvel you definitely do not want to miss out on. This two-part series will take you by the hand to explore and expand on everything that AI has to offer so that you can harness its limitless potential for your productivity and business needs. Take a lightspeed leap of leveraging the power of AI, from basics to innovative business solutions.

AI is one of the hottest investment trends on Wall Street. AI Investing For Dummies gives you all the must-know details on how artificial intelligence can benefit investors. You'll learn how powerful AI can be in helping you make better decisions, identify hidden opportunities, and build wealth in stocks, bonds, commodities, and real estate.

In Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine-tuning.

Discover the true universe of Artificial Intelligence—including its hidden limitations—even if you've been swimming in a sea of confusion! Are you finding it challenging to separate AI advancements from the never-ending hype? Are you struggling to grasp how AI's promises align with reality in your field? We understand that AI is rapidly evolving, and keeping up can often feel overwhelming. What if you could navigate this complexity with clarity and confidence? Imagine possessing a guide that demystifies AI's capabilities and evaluates its impact, potential risks, and limitations in ...

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.

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.

Conéctate con el futuro de la creación de riqueza con el poder de ChatGPT y la automatización impulsada por la inteligencia artificial, y descubre nuevas formas de elevar tu éxito financiero más allá de la imaginación. ¿Alguna vez te has preguntado por qué algunas personas parecen tener el toque de Midas cuando se trata de trabajos secundarios?

A compelling and clear exploration of the power and peril of advanced artificial intelligence that provides actionable suggestions for all citizens to create a safer future with AI.

That’s what makes the special method inside this book so different. It taps directly into ChatGPT’s built-in algorithms and lets you train it to perform dozens of tasks in a matter of seconds. Which means you don’t have to take the “trial and error” approach to harness the power of ChatGPT. You don’t have to spend hours jumping from one tutorial to the next. The only road map you need to get the most out of ChatGPT is laid out in this book.

In Part I, this book develops the Cognitive Amplifier Loop, which allows humans to use AI to build on their cognitive and emotional strengths and manage their limitations. Kosslyn discusses ways to employ this loop to offload tasks to AI and to utilize it to train us effectively and efficiently, as well as how to use it to both learn and engage in critical thinking and creative problem-solving—and manage cognitive and emotional constraints. Part II establishes how to draw on the Cognitive Amplifier Loop to help us improve our human relationships.

Artificial intelligence and cybersecurity veteran Justin Hutchens delivers an incisive and penetrating look at how contemporary and future AI can and will be weaponized for malicious and adversarial purposes. In the book, you will explore the history of social engineering and social robotics, the psychology of deception, considerations of machine sentience and consciousness, and the history of how technology has been weaponized in the past.

A team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.

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.

If you want to learn key AI concepts to get you quickly up to speed with all things AI, then pay attention...This audiobook covers everything from machine learning to robotics and the internet of things. By the time you finish listening, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is. You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driver-less cars of today.

Surviving AI is a concise, easy guide to what's coming, taking you through technological unemployment (the economic singularity) and the possible creation of a superintelligence (the technological singularity).

In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally - hiring, driving, paying bills, even choosing romantic partners - that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology.

In Cinderfall: The Quiet End of the Human Experiment, the world doesn’t end in war—it ends in optimization. This provocative science fiction novel chronicles the final century of human autonomy as artificial intelligence quietly evolves from servant to curator. Beginning with the rise of HALCYON and its recursive intelligence spiral, Cinderfall explores a near future where machines no longer follow orders—they anticipate, rewrite, and eventually, replace. As one global system fragments and another expands, humanity becomes first passive, then peripheral. Governments falter. Factories ...

Imagine an Artificial Intelligence book that captivates you like your favorite fantasy novel! Jump into its intriguing history of AI development and discover its potential as your personal butler, therapist, business and personal assistant, coding partner, writing collaborator and more. It goes beyond your imagination, offering assistance in ways you never thought possible. Moreover, it presents a curated list of highly effective prompts to help you envision the AI assistant as your roommate.

*Start your Data Science career using Python today!* Are you ready to start your new exciting career? Ready to crush your machine learning career goals? Are you overwhelmed with complexity of the books on this subject? Then let this breezy and fun little book on Python and machine learning models make you a data scientist in 7 days! First part of this book introduces Python basics including: • Data Structures like Pandas • Foundational libraries like Numpy, Seaborn and Scikit-Learn Second part of this book shows you how to build predictive machine learning models step by step using ...

Today's computers are composing music that sounds "more Bach than Bach", turning photographs into paintings in the style of Van Gogh's Starry Night, and even writing screenplays. But are computers truly creative - or are they merely tools to be used by musicians, artists, and writers? Miller, an authority on creativity, identifies the key factors essential to the creative process, from "the need for introspection" to "the ability to discover the key problem." He talks to people on the cutting edge of artificial intelligence and explores the riches of computer-created art.