1		11
		2
				12
																								14
3/10
				4
									5						13
		6
				7
		8
		9

Across

1. A type of machine learning where the model learns patterns and relationships in data without explicit supervision or labeled examples.

2. A type of artificial intelligence that attempts to simulate human thought processes and decision-making.

3. Vehicles that are capable of operating without human intervention, using sensors and machine learning algorithms to navigate and make decisions.

4. The simulation of human intelligence processes by computer systems.

5. A field of artificial intelligence that enables computers to interpret and understand the visual world, including images and videos.

6. A type of machine learning that involves training a system through trial-and-error using feedback from its environment.

7. A field of study that uses statistical algorithms to enable a machine to improve its performance on a specific task.

8. Using historical data and machine learning algorithms to make predictions about future events or outcomes.

9. An optimization algorithm that mimics the process of natural selection.

Down

10. The ability of machines or AI systems to produce original and creative works, such as art, music, or writing.

11. AI systems can be vulnerable to hacking and manipulation, leading to potential security breaches and misuse of information.

12. A type of machine learning algorithm that uses principles of evolution to generate solutions to complex problems.

13. Explainability is the ability to provide understandable explanations or justifications for the decisions and outcomes generated by an AI system.

14. AI systems are limited to what they have been trained on and cannot generate truly original ideas or concepts.

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