Machine Intelligence

Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us―and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.

AN INSTANT NEW YORK TIMES BESTSELLER From Wharton professor and author of the popular One Useful Thing Substack newsletter Ethan Mollick comes the definitive playbook for working, learning, and living in the new age of AI Something new entered our world in November 2022 — the first general...

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

Chatbots such as the infamous ChatGPT, robotic warehouses, computerized call centres and patient diagnosis. These are just a few of the areas where Artificial Intelligence (AI) and Machine Learning are being used to boost revenues, cut costs, save lives and improve customer experiences. As a result, organizations that understand these tools and know how to use them are benefiting at the expense of their rivals. This book cuts through the hype and technical jargon that one often finds when talking about AI and Machine Learning. It delivers a short, concise and non-technical guide for ...

Winner of the FT and Schroders Business Book of the Year Award Named a Best Book of 2025 by The Economist “Framed as a biography of Jensen Huang, the only CEO Nvidia has ever had, the book is also something more interesting and revealing: a window onto the intellectual, cultural, and economic...

If you’re ready to save time, slash costs, and grow faster in a world moving at AI speed, this 3-in-1 guide is your ultimate shortcut. Whether you’re a solo entrepreneur, a leader navigating digital change, or just AI-curious, this audiobook distills the core systems behind AI Agents, Prompt Engineering, and Generative AI into a powerful, beginner-friendly format.

A “deeply stimulating and disarmingly accessible” (Robert Sapolsky, author of Determined) journey into the inner workings of human and artificial minds When we are trying to solve a problem, what happens? We find ourselves weighing arguments, or relying on intuition, then reaching a...

A Wharton professor and tech entrepreneur examines how algorithms and artificial intelligence are starting to run every aspect of our lives, and how we can shape the way they impact us Through the technology embedded in almost every major tech platform and every web-enabled device, algorithms...

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.

Between 55 and 75 percent of all enterprise software implementations fail. The average cost overrun is 189 percent. Only one in four ERP projects is considered successful by the organizations that paid for them. These numbers have not improved in thirty years. This is not a coincidence. It is by design. In Welcome to the Machine, digital transformation expert Eric Kimberling pulls back the curtain on the trillion-dollar ecosystem of technology vendors, system integrators, and analyst firms that profits enormously — and systematically — from your organization's failure. He calls it the ...

An Instant New York Times Bestseller From one of our leading chroniclers of the intersection of innovation and capitalism, a landmark reckoning—based on unprecedented access—with one of the world’s most brilliant and driven tech visionaries, and his game-changing company Even by the...

THE DEFINITIVE GUIDE TO CLAUDE COWORK — NOW FULLY UPDATED FOR DISPATCH, COMPUTER USE, PLUGINS, AND EVERYTHING ANTHROPIC HAS SHIPPED SINCE LAUNCH. Claude Cowork launched in January 2026 and changed what's possible for knowledge workers. Delegate real tasks to AI: organising files, creating documents, extracting data from receipts, conducting research — all without writing a single line of code. This handbook was the first comprehensive guide to Cowork. This second edition brings it fully up to date with a product that has moved fast. Since launch, Anthropic has shipped Windows support, a...

Master Artificial Intelligence in no time, even if you're a total beginner or a tech novice with our essential guide — Empower your career and simplify your daily life! Does the world of AI and machine learning seem intimidating, complex, or out of reach? Are you interested in diving into the realm of AI but have no idea where to start? Are you overwhelmed by endless information and complex terminologies that seem to make AI learning more challenging? You're not alone!

Friends. Lovers. Therapists. 'Deathbots'. Artificial intelligence is now fulfilling new roles for millions of us every single day. How are these new 'relationships' changing how we view technology - and each other? Beyond those who are using AI chatbots for administrative tasks, some people are now preparing to adopt children with their AI partners; others are reaching out to companies offering services to 'resurrect' deceased loved ones; others still look to bots to find treatment for their mental health issues.

Combining technical rigor and deep up-to-the-minute knowledge about AI development, the natural sciences (especially neuroscience), and philosophical literacy, "What Is Intelligence?" argues—quite against the grain—that certain modern AI systems do indeed have a claim to intelligence, consciousness, and free will.

The History of Scientific Breakthroughs: The Discoveries That Changed How We Understand Reality BOOK 7: Mind, Machines, and Intelligence: How Computer Science and Artificial Intelligence Were Born explores one of the most transformative breakthroughs in modern history: the idea that thought itself could be formalized, mechanized, and eventually carried out by machines. Tracing the origins of computation from philosophy and mathematics to early computing devices and artificial intelligence research, this book reveals how abstract ideas about logic and reasoning reshaped science, technology, ...

What kind of system protects a predator for decades—while the world watches in silence? Above the Law: The Epstein Cover-Up Machine is a searing investigation into how one of the most notorious sex traffickers in modern history escaped justice for years. But this isn’t just another book about Jeffrey Epstein. It’s about what shielded him: a web of lawyers, bankers, media executives, intelligence agencies, and politicians who knew enough to ask questions—and chose not to. With chilling clarity and relentless documentation, this book exposes: – How Epstein’s fortune was never ...

Knowledge graphs model relationships between the objects, events, situations, and concepts in your domain so you can readily identify important patterns in your own data and make better decisions. Paired up with LLMs, they promise huge potential for working with structured and unstructured enterprise data, building recommendation systems, developing fraud detection mechanisms, delivering customer service chatbots, or more. This book provides tools and techniques for efficiently organizing data, modeling a knowledge graph, and incorporating KGs into the functioning of LLMs—and vice versa.

Picture a world where every thought you have sparks solutions, where your biggest challenges unravel in an instant, and your wildest dreams take flight—powered by a machine that thinks like you, only faster, sharper, limitless. Welcome to the edge of Artificial General Intelligence (AGI), where human brilliance fuses with machine genius to ignite a revolution that will transform everything you know. In Artificial General Intelligence (AGI): The Symbiotic Future of Humans and Machines, Dr. Samuel Xiangming Li—whose forty-year journey through the heart of computing and AI fuels this ...

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...