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

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