Across
- 2. Machines mimicking human intelligence
- 3. Job loss due to automation
- 4. Complex neural network models
- 7. - AI understanding of human language
- 8. Trading AI-driven financial market decisions
- 11. Task-specific AI
- 12. Creating a mathematical representation of a process in AI
- 16. Excess availability
- 19. Theoretical AI surpassing human intelligence
- 23. - Limited resources in abundance
- 24. Effects Value increase with more users
- 26. Allocation of resources for returns
- 27. Learning through rewards and penalties
- 28. AI with human-like capabilities
- 29. Investment in AI resources
- 32. Working together with AI systems
- 33. Power Processing capacity of machines
- 34. Laws governing AI development
Down
- 1. Algorithms that learn from data
- 5. Versatile technological innovation
- 6. AI creating new content vs. broad human-like intelligence
- 9. AI designed for one specific function or task
- 10. AI-generated false or inaccurate information
- 13. Machines replacing human labor
- 14. Algorithm - Algorithm that learns by trial and error
- 15. Moral considerations of AI use
- 17. Prejudiced outcomes from data
- 18. Raw facts for analysis
- 20. Increase in output per input
- 21. New employment opportunities
- 22. Brain-inspired computing systems
- 25. Teaching AI through data input
- 30. The process by which AI improves its performance from data
- 31. Systems Self-operating AI technologies