Machine Vision

How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times) A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post...

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...

El año 2026 no es un hito lejano en un horizonte tecnológico lento; es la cresta de la ola. El tiempo de conceptualizar el impacto futuro de la IA ha terminado. Ahora estamos entrando en una era comprimida y de alta velocidad—el Salto de Tres Años (2026–2028)—que redefinirá la estructura del trabajo, el capital y la sociedad. Este libro es una guía de campo para ese salto. Durante décadas, la IA fue un asistente computacional, que requería instrucciones explícitas para cada tarea.

The year 2026 is not a distant marker on a slow technological horizon; it is the crest of the wave. The time for conceptualizing AI’s future impact is over. We are now entering a compressed, high-velocity era—the Three-Year Leap (2026–2028) that will redefine the structure of work, capital, and society. This audiobook is a field guide to that leap. For decades, AI was a computational assistant, requiring explicit instruction for every task.

Chat-GPT, humanoid robotics, and self-driving cars are just a few of the things that are changing our everyday lives. The rapid advancement of AI is eroding one by one all the cornerstones considered unique of human nature: language, consciousness, creativity, and moral responsibility. The book argues that the revolution we are facing is driven by Alan Turing's "vision". This vision rests on the idea that intelligence is not an intrinsic property of human beings, but is a way in which matter is functionally organized and an attribute we are naturally inclined to ascribe to certain entities.

Dieses Hörbuch ist so aufgebaut, dass Ihnen die Inhalte im Rahmen der geschichtlichen Entwicklung der KI vermittelt werden. Aus diesem Grund beginnt unsere Reise mit dem Punkt "Einführung und geschichtlicher Hintergrund der KI". Im zweiten Abschnitt greifen wir zunächst die anfänglichen Techniken der KI auf. Sie lernen dabei die Konzepte und berühmte Beispielsysteme kennen, die diese frühe Phase der Euphorie auslösten.

A Harvard researcher investigates the human eye in this insightful account of what vision reveals about intelligence, learning, and the greatest mysteries of neuroscience. Spotting a face in a crowd is so easy, you take it for granted. But how you do it is one of science's great mysteries. And...