The branch oftechnology that dealswith the design,construction,operation, andapplication of robotsRoboticsThe study of howto extract insightsand knowledgefrom data usingvarious methodsand toolsDatascienceThe study ofhow AI acquiresknowledge fromtraining dataMachineLearning(MS)The ability of anAI system toidentify andclassify objectsin an imageImagerecognitionA test todeterminewhether amachine canexhibit human-like intelligenceTuringTestAn AI system thatemulates thedecision-makingability of a humanexpert in a specificdomainExpertsystemA softwareapplicationdesigned tostimulatehumanconversationChatbotA neural nettrained on largeamounts of textto imitate humanlanguageLargeLanguageModel(LLM)AI systemsthat generateoutput inresponse topromptsGenerativeAIA type of machinelearning where anAI system learnsfrom labeled dataand feedbackSupervisedlearningA type of machinelearning where anAI system learnsfrom unlabeled datawithout feedbackUnsupervisedlearningA computationalmodel that consistsof layers ofinterconnectednodes that processand learn from dataNeuralNetwork(NN)The hypotheticalpoint in time whenartificialintelligencesurpasses humanintelligenceSingularityThe collectivebehavior ofdecentralized, self-organized systems,such as a flock ofbirds or a colony ofantsSwarmintelligenceA form of logic thatdeals withapproximate ratherthan exact reasoning,allowing for degreesof truth rather thanbinary valuesFuzzyLogicAn interdisciplinaryfield of science andtechnology thatfocuses on howcomputers can gainunderstanding fromimages and videosComputervisionThe output of anAI system thatestimates thelikelihood of anevent or outcomebased on dataPredictionAn extension of thecurrent web thataims to make thedata moreunderstandable andaccessible formachinesSemanticwebA finite sequence ofinstructionsfollowed by acomputer system toperform a task orsolve a problemAlgorithmA type of machinelearning where anAI system learnsfrom its ownactions andrewardsReinforcementLearning (RL)Very largedatasets thatnormal data-processingsoftware can’thandleBigdataThe process ofsorting throughlarge data sets toidentify patternsthat can improvemodels or solveproblemsDataminingA form ofmachinelearning basedon neuralnetworksDeepLearning(DL)Intelligencedemonstratedby machinesor computersystemsArtificialIntelligence(AI)The branch of AIthat deals with theinteractionbetweencomputers andhuman languagesNaturallanguageprocessing(NLP)The branch oftechnology that dealswith the design,construction,operation, andapplication of robotsRoboticsThe study of howto extract insightsand knowledgefrom data usingvarious methodsand toolsDatascienceThe study ofhow AI acquiresknowledge fromtraining dataMachineLearning(MS)The ability of anAI system toidentify andclassify objectsin an imageImagerecognitionA test todeterminewhether amachine canexhibit human-like intelligenceTuringTestAn AI system thatemulates thedecision-makingability of a humanexpert in a specificdomainExpertsystemA softwareapplicationdesigned tostimulatehumanconversationChatbotA neural nettrained on largeamounts of textto imitate humanlanguageLargeLanguageModel(LLM)AI systemsthat generateoutput inresponse topromptsGenerativeAIA type of machinelearning where anAI system learnsfrom labeled dataand feedbackSupervisedlearningA type of machinelearning where anAI system learnsfrom unlabeled datawithout feedbackUnsupervisedlearningA computationalmodel that consistsof layers ofinterconnectednodes that processand learn from dataNeuralNetwork(NN)The hypotheticalpoint in time whenartificialintelligencesurpasses humanintelligenceSingularityThe collectivebehavior ofdecentralized, self-organized systems,such as a flock ofbirds or a colony ofantsSwarmintelligenceA form of logic thatdeals withapproximate ratherthan exact reasoning,allowing for degreesof truth rather thanbinary valuesFuzzyLogicAn interdisciplinaryfield of science andtechnology thatfocuses on howcomputers can gainunderstanding fromimages and videosComputervisionThe output of anAI system thatestimates thelikelihood of anevent or outcomebased on dataPredictionAn extension of thecurrent web thataims to make thedata moreunderstandable andaccessible formachinesSemanticwebA finite sequence ofinstructionsfollowed by acomputer system toperform a task orsolve a problemAlgorithmA type of machinelearning where anAI system learnsfrom its ownactions andrewardsReinforcementLearning (RL)Very largedatasets thatnormal data-processingsoftware can’thandleBigdataThe process ofsorting throughlarge data sets toidentify patternsthat can improvemodels or solveproblemsDataminingA form ofmachinelearning basedon neuralnetworksDeepLearning(DL)Intelligencedemonstratedby machinesor computersystemsArtificialIntelligence(AI)The branch of AIthat deals with theinteractionbetweencomputers andhuman languagesNaturallanguageprocessing(NLP)

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.


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