AI BASICS - Call List

(Print) Use this randomly generated list as your call list when playing the game. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.

1. G-Natural language processing (NLP)
   G-The branch of AI that deals with the interaction between computers and human languages
2. I-Data science
   I-The study of how to extract insights and knowledge from data using various methods and tools
3. B-Artificial Intelligence (AI)
   B-Intelligence demonstrated by machines or computer systems
4. N-Chatbot
   N-A software application designed to stimulate human conversation
5. O-Image recognition
   O-The ability of an AI system to identify and classify objects in an image
6. N-Robotics
   N-The branch of technology that deals with the design, construction, operation, and application of robots
7. I-Reinforcement Learning (RL)
   I-A type of machine learning where an AI system learns from its own actions and rewards
8. B-Singularity
   B-The hypothetical point in time when artificial intelligence surpasses human intelligence
9. G-Unsupervised learning
   G-A type of machine learning where an AI system learns from unlabeled data without feedback
10. I-Swarm intelligence
    I-The collective behavior of decentralized, self-organized systems, such as a flock of birds or a colony of ants
11. B-Data mining
    B-The process of sorting through large data sets to identify patterns that can improve models or solve problems
12. I-Algorithm
    I-A finite sequence of instructions followed by a computer system to perform a task or solve a problem
13. O-Expert system
    O-An AI system that emulates the decision-making ability of a human expert in a specific domain
14. N-Big data
    N-Very large datasets that normal data-processing software can’t handle
15. G-Semantic web
    G-An extension of the current web that aims to make the data more understandable and accessible for machines
16. B-Large Language Model (LLM)
    B-A neural net trained on large amounts of text to imitate human language
17. N-Supervised learning
    N-A type of machine learning where an AI system learns from labeled data and feedback
18. G-Generative AI
    G-AI systems that generate output in response to prompts
19. G-Fuzzy Logic
    G-A form of logic that deals with approximate rather than exact reasoning, allowing for degrees of truth rather than binary values
20. N-Deep Learning (DL)
    N-A form of machine learning based on neural networks
21. B-Prediction
    B-The output of an AI system that estimates the likelihood of an event or outcome based on data
22. O-Computer vision
    O-An interdisciplinary field of science and technology that focuses on how computers can gain understanding from images and videos
23. O-Neural Network (NN)
    O-A computational model that consists of layers of interconnected nodes that process and learn from data
24. I-Machine Learning (MS)
    I-The study of how AI acquires knowledge from training data
25. O-Turing Test
    O-A test to determine whether a machine can exhibit human-like intelligence