Start here · Essential guide
Understanding the Basics of Machine Learning and AI
A plain-language look at how machines learn patterns from data, how AI and machine learning differ, and where you already meet both in everyday gadgets and apps.
Big Ideas
Machine learning, language software and quantum computing explained.
Start here · Essential guide
A plain-language look at how machines learn patterns from data, how AI and machine learning differ, and where you already meet both in everyday gadgets and apps.
Learn what layers, weights and training mean in a neural network, using everyday comparisons instead of equations, and why these systems can still get things wrong.
A balanced look at how AI is affecting work, media, privacy and decisions about people, with the benefits, the risks and the open questions kept side by side.
How far the comparison between biological brains and artificial neural networks really goes, where it breaks down, and what scientists still do not understand.
How software handles written and spoken language, from spellcheckers and search to translation and chatbots, and the kinds of mistakes these tools still make.
What qubits are, what quantum computers can and cannot do today, which applications are realistic, and what the technology means for encryption, minus the hype.
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