Science Artificial Intelligence

Unravel the secrets of the AI revolution in just 7 days, even if you've never written a line of code! Do terms like "Machine Learning" or "Neural Networks" confuse you? Eager to understand AI but unsure where to start? You're not alone. Many believe mastering AI is only for tech experts. But here's the truth: Anyone can learn AI, and this guide shows you how!

This funny, "extraordinary and thought-provoking" (The Wall Street Journal) book asks whether we are in fact the superior species. As it turns out, the truth is stranger—and far more interesting—than we have been led to believe. At first glance, human history is full of remarkable feats of...

A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether...

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

A luminous guide to how the radical new science of counterfactuals can reveal that the scope of the universe is greater, and more beautiful, than we ever imagined There is a vast class of things that science has so far almost entirely neglected. They are central to the understanding of physical...

Artificial intelligence (AI) is changing our country and our world. From how citizens navigate their daily lives to how researchers drive discoveries in the lab to how manufacturers build products, AI is giving rise to new capabilities. New AI and AI-driven discoveries and capabilities hold the potential to drive practical solutions to address critical global challenges such as food production, climate change, poverty, and cancer. We have only started to scratch the surface of what is possible and cannot afford to miss out on seizing the opportunity for leveraging AI to serve the public good.

Are you new to Artificial Intelligence and looking for a simple, clear introduction? Generative Artificial Intelligence for Beginners is the perfect starting point for anyone who wants to understand AI without feeling overwhelmed. This beginner-friendly guide breaks down complex concepts into easy-to-follow steps, giving you the confidence to dive into AI and use its incredible tools in no time.

“There are words that are so familiar they obscure rather than illuminate the thing they mean, and ‘learning’ is such a word. It seems so ordinary, everyone does it. Actually it’s more of a black box, which Dehaene cracks open to reveal the awesome secrets within.”—The New York Times...

The UFS Phoenix returns to Homeworld, after more than three years of searching the galaxy for a way to save humanity from the looming AI threat. Many Fleet captains are unhappy with their own command, following the massive casualties of Nia's first strike. Some say that Captain Erik Debogande is the war leader humanity truly needs. Others warn of civil war. But on Homeworld lurks an even older threat, a secret kept by Fleet Command since Homeworld's first conquest by humans. A secret that could tear Fleet, and Erik's powerful family, apart.

AI is at the forefront of everyone's minds: from students and artists, to CEO's and service workers. But what exactly is AI, and how does it influence our everyday lives? And more than that, what does it mean for our future? Is there a way for us to retain our "humanness" in a world ever-reliant on tech? This groundbreaking book argues that the key technology we use to make strategic, political, and ethical decisions is flawed.

As AI and robotics eliminate jobs across the spectrum, governmental revenues will plummet while the debt increases dramatically. This crisis of limited resources on all levels - underfunded or nonexistent pensions, health problems, lack of savings, and job destruction without comparable job creation - will drive many into homelessness and produce a dramatic rise in violence as we fight over shrinking resources.

In AI and the Octopus Organization: Building the Superintelligent Firm, leading futurist Jonathan Brill and innovation expert Stephen Wunker unveil a groundbreaking vision for how organizations must evolve to survive and thrive in the age of artificial intelligence. Drawing inspiration from the octopus, an ancient creature noted for both rapid adaptation and distributed intelligence, the authors show that only businesses that rewire their structure, leadership, and decision-making can unlock AI's full potential.

In this guide, you will learn about all the basics of artificial intelligence. You’ll learn what it is, how it works, and where it came from (or, in other words, how it all started). Aside from that, we’ll dive into some data analytics and examples of artificial intelligence. We’ll cover several steps in the analytical process, and see what it takes for artificial intelligence to be effective. Last but not least, safety and privacy issues will be brought to light, since today’s age is full of hacking, spying, and theft.

In The Next Renaissance, acclaimed AI advisor Zack Kass presents an optimistic and compelling vision of how artificial intelligence will shape our lives. Drawing on historical context, cutting-edge advancements, and firsthand experience, Kass lays out how AI will become a collaborative partner in building a better, more creative, and more compassionate world. Just as the original Renaissance revolutionized art, science, and society.

Digital strategist, technologist, doctoral researcher, acclaimed management thinker, and seasoned business executive Hamilton Mann emphasizes that the challenge of AI is in ensuring systems that exhibit integrity-led capabilities over the pursuit of mere general or super intelligence. Mann tackles the inadequacies of traditional ethical frameworks in handling the complexities of new AI technologies to make them trustworthy and reliable as they profoundly impact human lives.

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.

The sky is not the limit. From an alley in New York to an interstellar wormhole, the path to the future looks different for everyone. These cosmic short stories from some of today’s most influential Black authors reveal a universe of possibilities.

“It takes just the right narrator to weave a story of the world ending. Eunice Wong proves up to the task in this fascinating audiobook.”—Locus Magazine “Audie Award Winner Eunice Wong is back with another compelling Nayler narration…an impressive feat.”—Booklist All systems fail...

Sensationalism about AI has reached new heights, and getting a useful understanding of it has never been more important. AI will extend and accelerate thinking, delivering unprecedented abundance. But it will also require us to navigate a path of challenges ranging from today’s issues of bias, privacy, and explainability, to job displacement through automation, and a future coexistence with superintelligent machines. This book is the roadmap to that path.

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?