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Thinking with Machines: The Brave New World of AI tells the story of AI from its very beginnings through the eyes of Vasant Dhar, currently Robert A Miller Professor at the Stern School of Business, and Professor of Data Science at New York University. Professor Dhar lived through the invention of AI algorithms and their various permutations until today. He brought AI to Wall Street in the '90s and was the first to teach AI at NYU Stern.

What does the rapid rise and astonishing rate of improvement of AI mean for brands in the next five years? Listen to what OpenAI CEO Sam Altman told authors Adam Brotman and Andy Sack when he met them: "It will mean that 95 percent of what marketers use agencies, strategists, and creative professionals for today will easily, nearly instantly, and at almost no cost be handled by AI. No problem." Upon hearing that astonishing statement, the authors began a journey of discovery to understand what the transition to an AI first world would mean.

AI is inescapable, from its mundane uses online to its increasingly consequential decision-making in courtrooms, job interviews, and wars. The ubiquity of AI is so great that it might produce public resignation—a sense that the technology is our shared fate. As economist Maximilian Kasy shows in The Means of Prediction, artificial intelligence, far from being an unstoppable force, is irrevocably shaped by human decisions—choices made to date by the ownership class that steers its development and deployment.

This audiobook is narrated by an AI Voice. Are you drowning in "context pollution," where your AI assistant forgets your database schema halfway through coding, suggests frontend solutions for backend problems, and generally behaves like an overwhelmed junior developer juggling six different...

A seismic shift is underway—one that will redefine work, value, and even what it means to be human. Artificial Intelligence is not just disrupting industries—it’s beginning to outperform humans in areas once considered exclusively ours: complex reasoning, creativity, even emotional...

AI is nothing to be afraid of. After all, AI is merely software. It's great at some things and (at least right now) terrible at others. But for workers who take time to experiment with AI and develop expertise, AI will make them more productive and more creative, saving them time, giving them...

Wer heute abwartet, kommt morgen zu spät. Kunst galt lange als letzte Bastion des Menschlichen gegenüber Künstlicher Intelligenz. Seit KI-generierte Bilder für Millionen US-Dollar versteigert und Dichterpreise an ChatGPT vergeben werden, stellt sich die Frage: Müssen wir uns auch auf dem Feld der Kreativität geschlagen geben? Und selbst wenn sie nicht als Kunst durchgehen, haben KI-"Werke" doch Einfluss auf Kultur, Gesellschaft und Wirtschaft – die Manipulation von Kaufentscheidungen ist da nur eine Gefahr.

The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning initiatives, aka predictive AI projects, from conception to deployment.

This is the first reference book on intelligent automation (IA). Also called hyperautomation, it is one of the most recent trends in the field of artificial intelligence. IA is a cutting-edge combination of methods and technologies involving people, organizations, machine learning, low-code platforms, robotic process automation (RPA), and more. This book is for everyone - whether you are an experienced practitioner, new to the topic, or simply interested in what the future holds for enterprises, work, life, and society as a whole.

Our fascination with AI stems from the perceived uniqueness of human intelligence. We believe it's what differentiates us. Fears of AI not only concern how it invades our digital lives, but also the implied threat of an intelligence that displaces us from our position at the centre of the world. Neil D. Lawrence's visionary book shows why these fears may be misplaced. By contrasting our own intelligence with the capabilities of machine intelligence through history, The Atomic Human reveals the technical origins, capabilities and limitations of AI systems, and how they should be wielded.

Could history repeat itself, with one giant entity taking control of American information? Most consider the Internet Age to be a moment of unprecedented freedom in communications and culture. But as Tim Wu shows, each major new medium, from telephone to cable, arrived on a similar wave of idealistic optimism only to become, eventually, the object of industrial consolidation profoundly affecting how Americans communicate.

Die künstliche Intelligenz verändert unsere Welt schneller, als viele von uns begreifen können. Hören Sie die Meinungen von Nobelpreisträgern, Top-Journalisten und Unternehmern - veröffentlicht in Medien wie Welt am Sonntag, Project Syndicate oder Business User als Hörversionen aus der ARTICLY-App. Von wirtschaftlichen Potenzialen über gesellschaftliche Risiken bis zu philosophischen Abgründen – diese Reise durch die Intelligenz der Zukunft bietet Orientierung in einer Zeit, in der Technologie unsere Fragen schneller beantwortet, als wir sie stellen können.

Artificial Intelligence (AI) is causing massive changes in our lives, both at the individual and societal level, with the global AI market expected to reach around 126 billion US dollars by 2025. As more and more decision-making moves to AI systems, unique risks are being introduced. However, this topic can be quite challenging for newcomers who want to understand the governance and cyber-security risks that AI introduces. This book assumes zero prior knowledge of AI or machine learning and explains in an easy-to-understand way how to govern and secure AI.

Es gibt Momente in der Geschichte, in denen sich Technologie nicht einfach weiterentwickelt – sie explodiert . Momente, in denen die Welt nicht nur Zentimeter, sondern ganze Epochen voranschreitet. Die Erfindung der Dampfmaschine veränderte die Branche. Strom verkabelt das tägliche Leben neu. Der Computer öffnete die Grenzen der Vorstellungskraft neu. Das Internet verband die Menschheit mit einem einzigen digitalen Puls. Und jetzt hat künstliche Intelligenz die Schwelle vom Werkzeug überschritten... Partner. Von Software... An einen Kollegen. Von der Automatisierung...

Researchers, developers, business leaders, policy makers, and others are expanding the technology-centered scope of artificial intelligence (AI) to include human-centered AI (HCAI) ways of thinking. This expansion from an algorithm-focused view to embrace a human-centered perspective can shape the future of technology to better serve human needs. The remarkable progress in algorithms for machine and deep learning have opened the doors to new opportunities, and some dark possibilities.

What is economic growth? And why, historically, has it occurred in only a few places? Previous efforts to answer these questions have focused on institutions, geography, finances, and psychology. But according to MIT's anti-disciplinarian César Hidalgo, understanding the nature of economic growth demands transcending the social sciences and including the natural sciences of information, networks, and complexity. To understand the growth of economies, Hidalgo argues, we first need to understand the growth of order.

“This book is required reading for everyone who cares about education.” —Adam Grant, #1 New York Times bestselling author of Hidden Potential and Think Again, and host of the podcast Re:Thinking “Read this book. It’s the most fascinating and important account of how AI will transform...

This audiobook is narrated by an AI Voice. Coding no longer has to feel intimidating, overwhelming, or technical. A new way of building software is emerging, one that focuses on flow, creativity, and intuition instead of syntax, memorization, and complexity. That approach is called vibe coding...

When molecular biologist Becky McClain raised urgent alarms about biosafety lapses at her biotech lab at Pfizer, she expected concern—not retaliation. Instead, her warnings about dangerous, genetically engineered viruses that were handled without following standard safety protocols were met with hostility, intimidation, and ultimately, devastating illness after a workplace exposure changed her life forever.

NATIONAL BESTSELLER Bold futurist Ray Kurzweil, author of The Singularity Is Near, offers a framework for envisioning the future of machine intelligence—“a book for anyone who wonders where human technology is going next” (The New York Times Book Review). “Kurzweil offers a...