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

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