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Dr. Topol’s unprecedented, evidenced-based guide is about how you and your family and friends can benefit from new treatments coming available at a faster rate than ever. From his unique position as a leader overseeing millions in research funding, Dr. Topol also explains the fundamental reasons—from semaglutides to AI—that we can be confident these breakthroughs will continue. Ninety-five percent of Americans over sixty have at least one chronic disease and almost as many have two. That is the essential problem this revolution is solving.

Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.

Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points.

In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

In the age of artificial intelligence, drafting an essay is as simple as typing a prompt and pressing enter. What does this mean for the art of writing? According to longtime writing teacher John Warner: not very much. More Than Words argues that generative AI programs like ChatGPT not only can kill the student essay but should, since these assignments don’t challenge students to do the real work of writing. To Warner, writing is thinking—discovering your ideas while trying to capture them on a page—and feeling—grappling with what it fundamentally means to be human.

Companies today are moving rapidly to integrate generative AI into their products and services. But there's a great deal of hype (and misunderstanding) about the impact and promise of this technology. With this book, Chris Fregly, Antje Barth, and Shelbee Eigenbrode from AWS help CTOs, ML practitioners, application developers, business analysts, data engineers, and data scientists find practical ways to use this exciting new technology.

Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything? The answer to these questions, linguist Emily M. Bender and sociologist Alex Hanna make clear, is “no,” “they wish,” “LOL,” and “definitely not.” This kind of thinking is a symptom of a phenomenon known as “AI hype.”

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.

When AI expert and investigative journalist Karen Hao first began covering OpenAI in 2019, she thought they were the good guys. Founded as a nonprofit with safety enshrined as its core mission, the organization was meant, its leader Sam Altman told us, to act as a check against more purely mercantile, and potentially dangerous, forces. What could go wrong?

We like to think that we're gradually making progress towards equality. With the advent of ever more high-tech equipment at our fingertips, we tend to assume that progress will be hastened, as new technology is used in positive and democratising ways. But there is a new wave of technologies which threaten this notion. Deepfakes. The metaverse. Cyber brothels. With misogyny being baked into their design, these technologies are dragging women back to the dark ages.

In Scaling Responsible AI: From Enthusiasm to Execution, celebrated speaker, AI strategist, and tech visionary Noelle Russell delivers an exciting and fascinating new discussion of how to implement artificial intelligence responsibly, ethically, and profitably at your organization. Responsible AI promises immense opportunity, but unguided enthusiasm can unleash serious risks. Learn how to implement AI ethically and profitably at your company with Scaling Responsible AI.

With clear and trustworthy information, Networking All-in-One For Dummies is the perfect beginner's guide AND the perfect professional reference book. Small networks, large networks, business networks, cloud networks―it's all covered. Learn how to set up a network and keep it functioning, using Windows Server, Linux, and related technologies. This book also covers best practices for security, managing mobile devices, and beyond.

Rise of the Machines: A Project Zero Trust Story is a continuation of the 2023 bestseller Project Zero Trust, picking up where the first book left off and addressing issues not covered in the first installment: artificial intelligence, mergers and acquisitions, antivirus, business continuity, and remote work. Artificial Intelligence is the dominant issue discussed in every chapter, providing a case-study-based approach to applying zero trust principles to all the various aspects of artificial intelligence, from MLOps, used by security teams, to use of GPTs, chatbots, and adversarial AI.

From the epic of Gilgamesh to the alchemy of the Philosopher’s stone, humanity’s quest for immortality – and its rejuvenation tricks, therapies and tinctures – has always been our most mortal endeavour. But now the giants of invention and investment are building a Fountain of Youth of their own creation. What was once a wild west of experimentation has found its way into Washington’s corridors of power.

Über den Platz des Menschen in der heutigen Welt. Weil er über einen Geist verfügt, konnte der Mensch bis vor kurzem glauben, etwas Besonderes zu sein. Dann kam die Künstliche Intelligenz. Dass sie viele Aufgaben besser löst als wir, war für die Menschheit Versprechen und Kränkung zugleich: Das wäre dann die Vierte seit der kopernikanischen Wende, Darwins Evolutionstheorie und Freuds Entdeckung des Unbewussten. Haben sich die Ideen des Humanismus überlebt?

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.

Personalized Customer Experience is a timely primer on the basics of personalization, and how it can be applied across channels. It includes emerging best practices on how AI is transforming the limits of personalized experiences and offers practical guidance eon how to establish a scalable personalization structure that fits your organization along with a clear, repeatable process that you can implement right away.

A defense technology expert and military leader reveals the future of robotic warfare, and illuminates the path to navigate the approaching storm of global change.

In The AI Con, the renowned AI insiders-turned-critics Emily M. Bender and Alex Hanna, offer a sharp, witty, and wide-ranging take-down of AI hype across all its forms, exposing it for what it really is: a mask for data theft, surveillance capitalism, and the devaluing of human creativity in order to replace meaningful work with jobs that treat people like machines.