AI
Across
- 4. Idea that true intelligence needs a body.
- 6. Early program that tried to model human reasoning.
- 11. Central idea in Hofstadter and Mitchell’s theory of intelligence.
- 17. The 2012 network that started the deep learning boom.
- 18. The revival that followed, thanks to deep learning.
- 20. Time when AI funding and optimism ran cold.
- 21. Strength of a neuron’s output.
- 22. Models inspired by how the brain processes vision.
- 25. The examples used to teach an AI.
- 27. The challenge of keeping AI’s goals human-friendly.
- 28. Hofstadter’s idea for self-awareness.
- 29. How neural networks adjust their connections.
Down
- 1. Controls how much a neuron “fires.”
- 2. Learning from rewards and punishments.
- 3. One of the earliest programming languages.
- 5. Company known for creating AlphaGo.
- 7. Early approach using rules and symbols instead of data-driven learning.
- 8. Field that inspired AI through ideas of feedback and control.
- 9. Giant visual database used to train AI systems.
- 10. Settings that guide how a model learns.
- 12. Trick image that confuses an AI.
- 13. The horse that “solved” math problems by reading cues.
- 14. IBM’s computer that beat chess champion Garry Kasparov.
- 15. The first artificial neuron model that could learn simple patterns.
- 16. Layered networks that power modern AI systems.
- 19. Hofstadter’s computer model of analogy-making.
- 23. The 1956 workshop that officially launched the field of AI.
- 24. The data used to check an AI’s learning.
- 26. The point when AI surpasses human intelligence.