Science Artificial Intelligence

In Physics of the Future, Michio Kaku - the New York Times best-selling author of Physics of the Impossible - gives us a stunning, provocative, and exhilarating vision of the coming century based on interviews with over 300 of the world’s top scientists who are already inventing the future in their labs. The result is the most authoritative and scientifically accurate description of revolutionary developments taking place....

The future is now. Artificial "machine" intelligence is playing an ever-greater role in our society. We are already using cruise control in our cars and automatic checkout at the drugstore and are unable to live without our smartphones. The discussion around AI is largely polarized; people think either machines will solve all problems for everyone or they will lead us down a dark, dystopian path into total human irrelevance. Regardless of what you believe, the idea that we might bring forth intelligent creation can be intrinsically frightening.

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.

What if animals and humans could speak to one another? Tom Mustill—the nature documentarian who went viral when a thirty-ton humpback whale breached onto his kayak—asks this question in his thrilling investigation into whale science and animal communication.

Are you ready to master the future? In today's world, artificial intelligence isn't just science fiction anymore; it's the key to transforming your reality. Are you feeling the pressure to stay ahead in the AI revolution? Don't let anxiety and unease about AI govern your destiny. Take control and keep listening.

Renowned AI strategist and pioneer Mark Minevich delivers an exciting and practical discussion of how to implement groundbreaking artificial intelligence technologies at every level of your organization. You'll learn to create sustainable, effective competitive advantage by introducing previously unheard-of levels of adaptability, resilience, and innovation into your company.

Impromptu: Amplifying Our Humanity Through AI, written by Reid Hoffman with GPT-4, offers listeners a travelog of the future–exploring how AI, and especially Large Language Models like GPT-4, can elevate humanity across key areas like education, business, and creativity.

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!

Become an expert on machine learning, even if you don’t have a tech background! The IT realm is ever-expanding. New technologies are being discovered every day, creating a need for new and diverse job categories. Machine learning is currently the fastest growing IT sector. It deals with building machines that can imitate humans and even adapt. This audiobook will teach you everything you need to know about this soon-to-become the most profitable area of computer science. You’ll have no problem keeping up with the content, even without any programming experience.

In the ever-evolving landscape of artificial intelligence, one technological marvel has captured the imagination of both experts and enthusiasts alike—the remarkable creation known as ChatGPT. Developed by OpenAI, ChatGPT is an extraordinary language model that has redefined how humans interact with machines, opening up a boundless world of possibilities.

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.

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.

Will machines someday replace attorneys, physicians, computer programmers, and world leaders? What about composers, painters, and novelists? Will tomorrow’s supercomputers duplicate and exceed humans? Are we just wetware, natural computers doomed to obsolescence by tomorrow’s ultra-powerful artificial intelligence? In Non-Computable You: What You Do That Artificial Intelligence Never Will, Robert J. Marks II answers these and other fascinating questions with his trademark blend of whimsy and expertise.

Yes, you can succeed in an AI-driven world by unleashing your potential in machine learning! A working knowledge of AI and ML is no longer a “nice-to-have” but an “essential” in today's job market. But what if you feel lost amid the tech jargon? What if terms like “algorithms”, “neural networks”, or “data preprocessing” sound like a foreign language to you?

If you want to learn about data science, then pay attention...This audiobook will discuss everything that you need to know when it comes to working in the field of data science. There is so much that we can explore and learn about when it comes to the world of data science, and this ultimate guide is here to help you navigate through these specialties. You will see just how important the ideas of data mining, data analytics, and even artificial intelligence are to our world as a whole today.

This audio book on artificial intelligence is aimed at beginners and is designed to teach you the basics within the historical development of AI. For this reason, our journey begins with the section "Introduction and historical background of AI". Topics and contents of the lessons: I. Introduction and historical background. What is AI - a philosophical consideration, Strong and Weak AI, The Turing Test, The birth of the AI, The era of great expectations, Catching up with reality, How to teach a machine to learn, Distributed systems in the AI, Deep Learning, Machine Learning.

The rise of artificial technology has seen a total change in the way we live our lives, interact, and function in the world. It has infiltrated our reality at every given turn and there appears to be no turning back now. Data science, advanced algorithms, and pattern recognition are now becoming so advanced, but what are the consequences for this progress and has anybody stopped to think about the potential consequences to our innate humanness and spirit?

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.

You’re not alone. Teachers everywhere face the same challenges. But there’s a solution. AI for Educators will help you enhance classroom engagement, cut down on admin tasks, and keep up with AI-driven trends in education.

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.