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

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