📄️ Automata
What is an automaton in Alan Turing's sense? An accessible introduction to Turing machines, computability, the halting problem and complexity.
📄️ Programs and Probabilities
Classical programs follow rules, AI works with probabilities. Why that is the decisive difference and what statistics has to do with it.
📄️ Artificial Intelligence
What artificial intelligence covers, how machines learn, where AI has long been part of everyday life and where the field is currently heading.
📄️ Milestones of AI
Eleven historical milestones of artificial intelligence, from Turing's reframed question through the AI winters to transformers and language models.
📄️ Who's Who in AI
A guide to the most important minds in artificial intelligence, from the statistical foundations through Turing and Weizenbaum to Hinton, LeCun and today's critics.
📄️ Generative AI
How generative AI works: generating is predicting. The road from time series forecasting through recurrent networks and LSTM to the attention mechanism.
📄️ Large Language Models
What distinguishes large language models from earlier AI systems, how they are built, whether they keep getting better and what to make of the talk about AGI.
📄️ Promises and Dangers
Where artificial intelligence really helps today, what damage it is already doing and how catastrophic risks can be assessed without lapsing into apocalyptic gloom.