Check out "A Brief History of AI", the first episode of our 4-episode series on Artificial Intelligence with Prof. Dan Cautis from Georgetown University!

Part of the Future Horizons communication platform, this episode takes you back to the early days of Artificial Intelligence while highlighting the following matters:

1. Why we should question the hype;
2. AI applications from healthcare, finances and space engineering to defense, smartphones and robotics;
3. The difference between Narrow AI and Artificial General Intelligence;
4. John von Neumann and Alan Turing’s digital computer and the birth of AI;
5. Computationalism and the logic touch in calculations;
6. The leap from number crunching to AI;
7. The Golden Years of AI: the contribution of McCarthy, the ungrounded optimism of Marvin Minsky, Herbert Simon and the likes, and the classical AI paradigm;
8. The early signs of the AI winter;
9. How Machine Learning revived and renewed AI;
10. Moore’s Law and the rise of neural networks as a new field of interest and focus;
11. The paradigm shift towards machine learning;
12. Branches in machine learning: supervised learning, classification, unsupervised learning; clustering, linear regression, prediction, reinforcement learning;
13. Machine learning algorithms and concepts.

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