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How to Use AI to Manifest Your Dreams reveals the groundbreaking intersection of ancient manifestation wisdom and cutting-edge AI technology. This isn't about positive thinking or wishful visualization—it's about using scientifically-proven methods amplified by artificial intelligence to systematically create the life you desire.

Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.

What is the metaverse, exactly? Why is everyone going nuts over this? Why has it become such a fascination in the digital world? How do we content ourselves with the concept of the Metaverse? So, if these questions spark your interest, why not take on a quest to discover what it is? The metaverse is an idea that has been around for a long time but has recently gained attention.

Artificial Intelligence is changing everything—how we work, how we communicate, even how we make decisions. Yet public understanding of AI is still riddled with sensationalism, fear, and misunderstanding. Is AI a conscious entity preparing to take over the world? Is it going to replace every human job? Is it inherently fair, objective, or creative? The answer to all of these questions is far more nuanced than headlines suggest.

Sixty-five years ago, a middle-aged woman working with a small group of collaborators out of a converted shed on the outskirts of Cambridge predicted the future of Artificial Intelligence. As world powers raced to discover and exploit the capabilities of the first computers during the Cold War, Masterman emerged from obscurity to become an unlikely prophet of artificial intelligence.

Beginning with post-WW2 monitoring devices, Listening In traces an arc through the Cold War era into the present day in which state and commercial spyware can record our calls, copy messages and secretly film us. Exploring how mass audio surveillance is carried out through devices such as smart phones, speakers and baby monitors and used to inform and train AI algorithms, the book provides fresh insights into how we are allowing our personal privacies to be traded for enhanced social connectivity and technological convenience.

Constantly overwhelmed by decisions that drain your time and focus? Feel like you're falling behind while others are scaling effortlessly with AI? What would it be worth to reclaim hours of your week and lead with clarity, speed, and confidence? You’re not failing as a leader — you’re operating in a system that wasn’t designed for the velocity of today. The meetings, messages, and decision fatigue - it’s not a lack of effort. It’s a lack of leverage.

性愛、家族愛、推しへの愛……言語哲学のプロが徹底解剖！　この愛の言葉を、AIは理解できるのか？古くから、それはきっと人類が誕生したころから、“愛”という概念、感情は存在している。

Since it was first published in 2005, Ray Kurzweil's The Singularity Is Near and its vision of the future have been influential in spawning a worldwide movement with millions of followers, hundreds of books, major films, and thousands of articles. During the succeeding decade, many of Kurzweil's predictions about technological advancements have been borne out, and their viability has become familiar to the public through such now commonplace concepts. In this entirely new book Ray Kurzweil brings a fresh perspective to advances in the singularity.

◎仕事が速い人は、AIに“仕事を任せている”――そのノウハウを徹底解説◎秘訣は「プロンプトの型」にあり。作業時間は「1時間→30秒」に！

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.

クリエイティブ分野で、果たして人間はChatGPTに勝てるのか。本書は、いち個人作家である私が、ChatGPTへ贈る”挑戦状”です。

We've arrived in a new era—GenAI is reshaping industries and decision-making processes across the board. As a result, understanding their potential and pitfalls has become crucial. But in order to stay ahead of the curve, you'll need to develop fresh perspectives on leveraging AI beyond mere technical know-how. Geared toward business leaders and tech professionals alike, this book demystifies the strategic integration of AI into business practices, ensuring you're equipped not just to participate but to lead in this new landscape.

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

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.

What does the rapid rise and astonishing rate of improvement of AI mean for brands in the next five years? Listen to what OpenAI CEO Sam Altman told authors Adam Brotman and Andy Sack when he met them: "It will mean that 95 percent of what marketers use agencies, strategists, and creative professionals for today will easily, nearly instantly, and at almost no cost be handled by AI. No problem." Upon hearing that astonishing statement, the authors began a journey of discovery to understand what the transition to an AI first world would mean.

The full inside story of the breathtaking rise and shocking collapse of a multibillion-dollar start-up, by the prize-winning journalist who first broke the story and pursued it to the end. In 2014, Theranos founder and CEO Elizabeth Holmes was widely seen as the female Steve Jobs: a brilliant Stanford dropout whose start-up ‘unicorn’ promised to revolutionize the medical industry with a machine that would make blood tests significantly faster and easier.

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.

Dr. Topol’s unprecedented, evidenced-based guide is about how you and your family and friends can benefit from new treatments coming available at a faster rate than ever. From his unique position as a leader overseeing millions in research funding, Dr. Topol also explains the fundamental reasons—from semaglutides to AI—that we can be confident these breakthroughs will continue. Ninety-five percent of Americans over sixty have at least one chronic disease and almost as many have two. That is the essential problem this revolution is solving.

La storia di come le reti di informazione hanno fatto e disfatto il nostro mondo, dall’autore del bestseller mondiale Sapiens. Negli ultimi centomila anni, noi Sapiens abbiamo accumulato un enorme potere. Eppure, nonostante tutte le nostre scoperte, invenzioni e conquiste, oggi ci troviamo in una crisi esistenziale. Il mondo è sull’orlo del collasso ecologico. La disinformazione dilaga. E ci stiamo buttando a capofitto nell’era dell’intelligenza artificiale, una nuova rete di informazioni che minaccia di annientarci. Perché siamo così autodistruttivi?