Computer Intelligence

Alla fine del 2017 un algoritmo di intelligenza artificiale ha collezionato una serie di vittorie schiaccianti a scacchi scegliendo mosse che la mente umana non è nemmeno in grado di assimilare o utilizzare. Qualche anno più tardi, i ricercatori del Massachusetts Institute of Technology (MIT) hanno annunciato la scoperta di un nuovo antibiotico ottenuto grazie all'aiuto dell'intelligenza artificiale, che era riuscita a individuare proprietà molecolari sfuggite alla concettualizzazione e alla classificazione degli scienziati.

AI Revolution 2023: Harnessing Artificial Intelligence for Profitable Startups and Business Success is a thorough exploration of the profound impact artificial intelligence (AI) is making in the business world.

Much has been written about the challenges tech presents to equality and democracy. But we can either criticize big data and automation or steer it to do better. Lobel makes a compelling argument that while we cannot stop technological development, we can direct its course according to our most fundamental values. With provocative insights in every chapter, Lobel masterfully shows that digital technology frequently has a comparative advantage over humans.

Welcome to AI Riches: Make Money with ChatGPT – How I Made $10K a Month Talking to a Robot (And How You Can Too) — your hilariously honest, eye-opening, and ridiculously useful guide to turning conversations with AI into cold, hard cash. This isn't one of those dry, dusty tech books written in a language that only PhDs and space engineers understand. Nope. This is the blueprint for normal humans—with zero tech skills—who want to build side hustles, launch digital empires, or just finally afford guac at Chipotle without flinching.

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.

We are in the midst of an unprecedented degree of technology-driven change at the same time that society faces challenges more complex than our organizations and we as individuals have been prepared to handle. Autonomous Transformation: Creating a More Human Future in the Era of Artificial Intelligence is for leaders who want to create a better future within this context of change and supplies a balance of historical and theoretical context with practical frameworks for beginning to create a more human future today.

AI is becoming ubiquitous. Whatever its arrival portends for our future, whether riches or ruin, it cannot be avoided. The Artifice of Intelligence explores two questions at the heart of a theological response to AI. Is it possible for human beings to have authentic relationships with an AI? How does the increasing presence of AI change the way humans relate to one another? In pursuing answers to these questions, Herzfeld explores what it means to be created in the image of God and to create AI in our own image.

Cloud computing has transformed the way we think about technology infrastructure and application deployment. The benefits of cloud computing, such as scalability, cost savings, and flexibility, have made it a popular choice for organizations of all sizes. This book aims to provide an in-depth understanding of cloud computing architecture, covering the core concepts, principles, and best practices. It will help you gain a comprehensive understanding of cloud computing, from the basics of virtualization to advanced topics such as cloud-native architecture, AI, and edge computing.

The promise of artificial intelligence is automated decision-making at scale, but that means AI also automates risk at scale. In Ethical Machines, Reid Blackman gives you all you need to understand AI ethics as a risk management challenge. He'll help you build, procure, and deploy AI in a way that's not only ethical but also safe in terms of your organization's reputation, regulatory compliance, and legal standing—and do it at scale. And don't worry—the book's purpose is to get work done, not to ponder deep and existential questions about ethics and technology.

David Auerbach’s exploration of the phenomenon he has identified as the meganet begins with a simple, startling revelation: There is no hand on the tiller of some of the largest global digital forces that influence our daily lives: from corporate sites such as Facebook, Amazon, Google, YouTube, Instagram, and Reddit to the burgeoning metaverse encompassing cryptocurrencies and online gaming to government systems such as China’s Social Credit System and India’s Aadhaar.

Whether you're new to the world of programming and are looking for clarity on what direction to take, or you're simply curious about what machine learning, AI, and big data has in store for the future and want to prepare for it, this guide makes it easy to actually understand implement machine learning and data analytics effectively.

In this comprehensive guide, AI4 Proposal and Grant Writers: Harnessing the Power of AI for Winning Proposals, we provide you with everything you need to know to start implementing AI in your proposal writing process. From understanding the basics of AI to identifying and mitigating bias in data analysis, this book covers it all.

As thinking machines make more decisions on our behalf, they can enrich, enable, and influence our lives. The increasing use of AI raises critical questions about our values, cultures, economies, and power relationships. And the answers may depend upon your race, gender, age, behavior, and nationality. In clear and accessible prose, Olaf Groth and Mark Nitzberg explore the history of intelligent technology, revealing how close we are to designing machines that have some sort of consciousness - and that we must now decide how to give those machines a conscience.

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.

With easy-to-follow steps and examples, you'll learn how to maximize your profits and grow your business. This audiobook offers insights into using Google BARD AI to achieve success, from finding your niche and creating high-quality content to building an engaged audience and scaling your business.

Ready to take control of your financial future? Say goodbye to long hours and hello to smart income with AI-Powered Passive Income Made Easy—your ultimate guide to turning the revolutionary power of ChatGPT into a wealth-generating machine in 2025. This step-by-step beginner’s guide unlocks the secrets of creating effortless income streams using cutting-edge AI tools. Whether you’re a total newbie or a tech-savvy entrepreneur, this book equips you with actionable strategies to make money while you sleep.

AI & Innovation is a timely, essential book for business leaders, innovation and strategy managers, and executives seeking state-of-the-art guidance on AI and proven best practices for implementation.

Artificial Intelligence is likely to greatly increase our aggregate wealth, but it will also upend our labor markets, reshuffle our social order, and strain our private and public institutions. Eventually it may alter how we see our place in the universe, as machines pursue goals independent of their creators and outperform us in domains previously believed to be the sole dominion of humans.

In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.

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.