Machine Intelligence

With over 130 unique, ready-to-use prompts confidentially designed for the legal industry, this book is your exclusive guide to integrating AI into your legal practice. Each concealed prompt is tailored to classified situations you might face in your profession and can be customized to align with your specific, secretive needs.

As Vikram Mansharamani shows in this eye-opening book, our complex, data-flooded world has made us ever more reliant on experts, protocols, and technology. We've stopped thinking for ourselves. Of course, experts, protocols, and computer-based systems are essential to helping us make informed decisions. What we need is a new approach for integrating these information sources more effectively. The author provides principles and techniques for doing just that, empowering listeners with a more critical and nuanced approach to making decisions.

Are we living in a simulation? MIT computer scientist Rizwan Virk draws from research and concepts from computer science, artificial intelligence, video games, quantum physics, and ancient mystics to explain why we may be living inside a simulated reality like the Matrix. The Simulation Hypothesis is the definitive book on simulation theory and is now completely updated to reflect the latest developments in artificial intelligence and virtual reality.

Künstliche Intelligenz ist die Coming Wave, der nächste technologische Sprung, der sich nicht aufhalten lässt. Wir nähern uns einem kritischen Punkt in der Menschheitsgeschichte. Die Künstliche Intelligenz steht noch am Anfang, doch die Welle baut sich auf, und wir sind darauf nicht vorbereitet. Mustafa Suleyman ist Mitbegründer von DeepMind, dem KI-Pionier, der nun Teil von Alphabet ist, dem Google-Mutterkonzern. Er ist der ultimative KI-Insider. Sein Buch zeigt, was auf dem Spiel steht, und fragt, wie wir von den neuen Technologien profitieren können, ohne die Kontrolle zu verlieren.

AI expert Yorick Wilks takes a journey through the history of artificial intelligence up to the present day, examining its origins, controversies, and achievements, as well as looking into just how it works. He also considers the future, assessing whether these technologies could menace our way of life and how we are all likely to benefit from AI applications in the years to come.

Rana el Kaliouby is a rarity in both the tech world and her native Middle East: a Muslim woman in charge in a field that is still overwhelmingly white and male. Growing up in Egypt and Kuwait, el Kaliouby was raised by a strict father who valued tradition - yet also had high expectations for his daughters - and a mother who was one of the first female computer programmers in the Middle East. Even before el Kaliouby broke ground as a scientist, she broke the rules of what it meant to be an obedient daughter and, later, an obedient wife to pursue her own daring dream.

In Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What to Do About Them, a team of distinguished adversarial machine learning researchers deliver a riveting account of the most significant risk to currently deployed artificial intelligence systems: cybersecurity threats. The authors take you on a sweeping tour—from inside secretive government organizations to academic workshops at ski chalets to Google's cafeteria—recounting how major AI systems remain vulnerable to the exploits of bad actors of all stripes.

Ever wish you had a personal money-making machine? One that worked tirelessly while you sip coffee or stroll on the beach? Well, get ready to turn that dream into reality! In "Building a Money Machine with ChatGPT," book we spilled all the secrets – the proven strategies, step-by-step instructions, and insider tips – that will have you raking in the dough in no time. Whether you're a tech whiz or a complete beginner, this book is your ticket to financial freedom. It's time to dump the 9-to-5 grind and build a life where money works for you, not the other way around.

Futurists insist that AI will soon eclipse the capacities of the most gifted human mind. What hope do we have against superintelligent machines? But we aren't really on the path to developing intelligent machines. In fact, we don't even know where that path might be. Erik Larson takes us on a tour of the landscape of AI to show how far we are from superintelligence and what it would take to get there.

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.

In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze - remember when it seemed plausible that IBM's Watson could cure cancer? - to explain how businesses can put artificial intelligence to work now, in the real world.

In June of 2024, spurred by the frenzy of investment following the launch of ChatGPT, and thirty-one years after its founding in a Denny’s restaurant, Nvidia became the most-valuable corporation on Earth. In The Thinking Machine, acclaimed journalist Stephen Witt recounts the unlikely story of how a manufacturer of video game components shocked Silicon Valley by conquering the market for AI hardware, and in the process re-invented the computer.

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.

Generative AI, biometrics, spatial computing, electric vehicles—new technologies like these are reshaping organizations at the hybrid office, on factory floors, and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating—and avoid falling victim to disruption? The Year in Tech 2025 will help you understand what the latest and most important tech innovations mean for your organization and how you can use them to compete and win in today's turbulent business environment.

In this digital age, many people are surrounded by modern technologies. They have access to a world with a device as small as their palm. A few hundred years back, it would be considered to be witchcraft when one was able to talk to someone halfway across the globe, see the Great Wall of China while still being in the United States, or participate in a meeting from the living room.

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.

Once relegated to the fringes of society, transhumanism (the use of technology to enhance human intellectual and physical capability) is now poised to enter our cultural mainstream. It has found adherents in Silicon Valley billionaires Ray Kurzweil and Peter Diamandis. Google has entered the picture, establishing a bio-tech subsidiary aimed at solving the problem of aging. In To Be a Machine, journalist Mark O'Connell takes a headlong dive into this burgeoning movement.

In "How to Get Rich with A.I," Wendy Robbins is here to show you how to turn those robots into your personal money-making minions. This book is perfect for people wanting to make money with A.I or you just want to make money, or make money with Chatgpt.

Decision intelligence (DI) has been widely named as a top technology trend for several years, and Gartner reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies. But until now, there has been little practical guidance for organizations to formalize decision making and integrate their decisions with data. With this book, authors L. Y. Pratt and N. E. Malcolm fill this gap.