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1. An optimization algorithm that mimics the process of natural selection.
2. A type of machine learning algorithm that uses principles of evolution to generate solutions to complex problems.
3. A type of machine learning that involves training a system through trial-and-error using feedback from its environment.
4. A field of study that uses statistical algorithms to enable a machine to improve its performance on a specific task.
5. Computer programs that use natural language processing and machine learning to simulate conversation with human users.
6. A field of artificial intelligence that enables computers to interpret and understand the visual world, including images and videos.
7. Machine learning software that acts autonomously on a user's behalf.
8. The process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making.
9. A type of machine learning where the model learns patterns and relationships in data without explicit supervision or labeled examples.
10. As AI becomes more integrated into various domains, there is a risk of over-reliance and reduced human autonomy.
11. AI systems are limited to what they have been trained on and cannot generate truly original ideas or concepts.
12. AI systems can be vulnerable to hacking and manipulation, leading to potential security breaches and misuse of information.
13. The process of discovering patterns in large data sets using machine learning and statistical techniques.
14. A field of artificial intelligence that focuses on the design, construction, and operation of robots.
15. A step-by-step procedure for solving a problem or accomplishing a task, often used in artificial intelligence to guide machine learning.
16. Vehicles that are capable of operating without human intervention, using sensors and machine learning algorithms to navigate and make decisions.
17. The carbon emissions produced by data centers that store and process massive amounts of data for AI applications.
18. A type of artificial intelligence that attempts to simulate human thought processes and decision-making.