Science Artificial Intelligence

Today, many decisions that could be made by human beings, from predicting earthquakes to interpreting languages, can now be made by computer algorithms with advanced analytic capabilities. Every day, we make millions of decisions. However, these decisions may be imperfect due to limited experience, implicit biases, or faulty probabilistic reasoning. Algorithms can better predict human behavior than trained psychologists and with much simpler criteria. Discover how algorithms shape and impact our world.

In this book, Amy Webb reveals the pervasive, invisible ways in which the foundations of AI - the people working on the system, their motivations, the technology itself - is broken. Within our lifetimes, AI will, by design, begin to behave unpredictably, thinking and acting in ways which defy human logic. The big nine corporations may be inadvertently building and enabling vast arrays of intelligent systems that don't share our motivations, desires, or hopes for the future of humanity.

Today, Artificial Intelligence seems mystical and magical to most people. While this wave of change will touch every aspect of our daily lives, most of us still do not understand AI’s capabilities, limitations, or history. In this book, Dr. Alok Aggarwal – one of the early innovators and developers in this field – sets out to demystify Artificial Intelligence by explaining the science and engineering in non-technical terms we can all understand.

This book will put AI, big data, the cloud, robotics, and smart devices in context. It will reveal how these technologies can dramatically multiply any businesses—including yours—by strategically using your data's latent, transformative potential.

Spotting a face in a crowd is so easy, you take it for granted. But how you do it is one of science's great mysteries. And vision is involved with so much of everything your brain does. Explaining how it works reveals more than just how you see. In We Know It When We See It, Harvard neuroscientist Richard Masland tackles vital questions about how the brain processes information - how it perceives, learns, and remembers - through a careful study of the inner life of the eye.

Can a well-programmed machine do anything a human can - only better? Complex algorithms are buying our groceries, picking our partners, and driving our investments. They can navigate more data than a doctor or lawyer and act with greater precision. For many years we've taken solace in the notion that they can't create. But now that algorithms can learn and adapt, does the future of creativity belong to machines too?

Are you overwhelmed by Artificial Intelligence and Natural Language Processing? Want to leverage the power of ChatGPT but don’t know where to start? You're not alone. Many beginners feel alienated by the jargon and technicalities. But what if mastering ChatGPT could be a simple, rewarding journey, achievable in just 7 days? This beginner-friendly guide is your ticket to conquering ChatGPT fears and harnessing AI's potential. Designed with simplicity, this book breaks down complex topics into easy-to-understand pieces, ensuring a smooth learning experience.

AI-First companies are the only trillion-dollar companies, and soon they will dominate even more industries, more definitively than ever before. These companies succeed by design--they collect valuable data from day one and use it to train predictive models that automate core functions. As a result, they learn faster and outpace the competition in the process. Thankfully, you don't need a PhD to learn how to win with AI. In The AI-First Company, internationally-renowned startup investor Ash Fontana offers an executable guide for applying AI to business problems.

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.

Progress in artificial intelligence (AI), deep learning, and robotics allows new capabilities that will affect military strategies assertively. The implications of these developments will be felt across the array of military criteria from knowledge, surveillance, and identification to balances of offense and defense, as well as to the nuclear weapons programs themselves.

Gone are the days of manual searches and gut-feeling decisions. This book introduces you to the dynamic world of AI in real estate, where algorithms, predictive analytics, and machine learning lead the way in identifying hidden gems in the market.

Navigating the AI landscape can be intimidating, especially for non-technical leaders. But no matter your experience level, this book and its Companion Workbook are here to help!

Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow.

From product design and financial modeling to performance management and hiring decisions—artificial intelligence and machine learning are becoming everyday tools for managers at businesses of all sizes. But the rewards of every AI system come with risks—and if you don't understand how to make sense of them, you're not going to make the right decisions. Whether you want to get up to speed quickly, could just use a refresher, or are working with an AI expert for the first time, HBR Guide to AI Basics for Managers will give you the information and skills you need.

This study guide follows the syllabus for the Microsoft AI Foundations exam (AI-900). More importantly, this audiobook will help you gain the foundational knowledge needed to become an AI practitioner. You do not need a mathematical or programming background to understand the concepts in this audiobook or to pass the AI-900 exam. This study guide does not contain any material that compromises the integrity of any Microsoft exam. All materials, including practice questions, were developed using the syllabus for the exam and thorough research of published articles.

Artificial intelligence is everywhere—powering news feeds, curating search results, and invisibly steering our lives. We talk to it and, increasingly, it talks back. And sometimes, its answers seem eerily smart, until they don't.

Unlock the transformative potential of generative AI for your enterprise with "Understanding Generative AI for Business Leaders." This indispensable guide simplifies the complex world of AI, offering a beginner-friendly introduction and practical strategies for effective and ethical integration.

High performing organizations see better results than their contemporaries and have more satisfied employees. This book clarifies this unique point in history where key technologies like AI, collaboration platforms, and low code development have converged to transform project and work management and provides practical strategies for seizing this moment to become a higher performing organization with happier people. In the ever-evolving landscape of business and technology, project management stands as a critical pillar, orchestrating the rhythm of progress and innovation.

Et si l'intelligence artificielle que vous craignez devenait le partenaire le plus fiable de votre quotidien ? Comment réagiriez-vous face à une IA qui comprend et anticipe vos besoins mieux que quiconque ? Découvrez comment transformer l'IA en un compagnon du quotidien indispensable, capable d'enrichir votre vie personnelle et professionnelle. Dans ce livre audio, plongez au cœur de l'IA générative, une technologie révolutionnaire qui, loin d'être une menace, se révèle être un puissant allié.

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.