A type of machinelearning where anAI system learnsfrom labeled dataand feedbackSupervisedlearningA form ofmachinelearning basedon neuralnetworksDeepLearning(DL)The branch oftechnology that dealswith the design,construction,operation, andapplication of robotsRoboticsAn extension of thecurrent web thataims to make thedata moreunderstandable andaccessible formachinesSemanticwebA finite sequence ofinstructionsfollowed by acomputer system toperform a task orsolve a problemAlgorithmThe study of howto extract insightsand knowledgefrom data usingvarious methodsand toolsDatascienceAI systemsthat generateoutput inresponse topromptsGenerativeAIIntelligencedemonstratedby machinesor computersystemsArtificialIntelligence(AI)The ability of anAI system toidentify andclassify objectsin an imageImagerecognitionVery largedatasets thatnormal data-processingsoftware can’thandleBigdataAn AI system thatemulates thedecision-makingability of a humanexpert in a specificdomainExpertsystemThe hypotheticalpoint in time whenartificialintelligencesurpasses humanintelligenceSingularityThe output of anAI system thatestimates thelikelihood of anevent or outcomebased on dataPredictionThe branch of AIthat deals with theinteractionbetweencomputers andhuman languagesNaturallanguageprocessing(NLP)An interdisciplinaryfield of science andtechnology thatfocuses on howcomputers can gainunderstanding fromimages and videosComputervisionA neural nettrained on largeamounts of textto imitate humanlanguageLargeLanguageModel(LLM)A test todeterminewhether amachine canexhibit human-like intelligenceTuringTestThe collectivebehavior ofdecentralized, self-organized systems,such as a flock ofbirds or a colony ofantsSwarmintelligenceA type of machinelearning where anAI system learnsfrom unlabeled datawithout feedbackUnsupervisedlearningA computationalmodel that consistsof layers ofinterconnectednodes that processand learn from dataNeuralNetwork(NN)A softwareapplicationdesigned tostimulatehumanconversationChatbotThe study ofhow AI acquiresknowledge fromtraining dataMachineLearning(MS)A 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 solveproblemsDataminingA type of machinelearning where anAI system learnsfrom its ownactions andrewardsReinforcementLearning (RL)A type of machinelearning where anAI system learnsfrom labeled dataand feedbackSupervisedlearningA form ofmachinelearning basedon neuralnetworksDeepLearning(DL)The branch oftechnology that dealswith the design,construction,operation, andapplication of robotsRoboticsAn extension of thecurrent web thataims to make thedata moreunderstandable andaccessible formachinesSemanticwebA finite sequence ofinstructionsfollowed by acomputer system toperform a task orsolve a problemAlgorithmThe study of howto extract insightsand knowledgefrom data usingvarious methodsand toolsDatascienceAI systemsthat generateoutput inresponse topromptsGenerativeAIIntelligencedemonstratedby machinesor computersystemsArtificialIntelligence(AI)The ability of anAI system toidentify andclassify objectsin an imageImagerecognitionVery largedatasets thatnormal data-processingsoftware can’thandleBigdataAn AI system thatemulates thedecision-makingability of a humanexpert in a specificdomainExpertsystemThe hypotheticalpoint in time whenartificialintelligencesurpasses humanintelligenceSingularityThe output of anAI system thatestimates thelikelihood of anevent or outcomebased on dataPredictionThe branch of AIthat deals with theinteractionbetweencomputers andhuman languagesNaturallanguageprocessing(NLP)An interdisciplinaryfield of science andtechnology thatfocuses on howcomputers can gainunderstanding fromimages and videosComputervisionA neural nettrained on largeamounts of textto imitate humanlanguageLargeLanguageModel(LLM)A test todeterminewhether amachine canexhibit human-like intelligenceTuringTestThe collectivebehavior ofdecentralized, self-organized systems,such as a flock ofbirds or a colony ofantsSwarmintelligenceA type of machinelearning where anAI system learnsfrom unlabeled datawithout feedbackUnsupervisedlearningA computationalmodel that consistsof layers ofinterconnectednodes that processand learn from dataNeuralNetwork(NN)A softwareapplicationdesigned tostimulatehumanconversationChatbotThe study ofhow AI acquiresknowledge fromtraining dataMachineLearning(MS)A 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 solveproblemsDataminingA type of machinelearning where anAI system learnsfrom its ownactions andrewardsReinforcementLearning (RL)

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