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artificial intelligence acronyms

  • AGI: Artificial General Intelligence
  • ANN: Artificial Neural Network
  • ANI: Artificial Narrow Intelligence
  • ASR: Automatic Speech Recognition
  • BCI: Brain-Computer Interface
  • BERT: Bidirectional Encoder Representations from Transformers
  • CBR: Case-Based Reasoning
  • CNN: Convolutional Neural Network
  • CTA: Contextual Textual Analysis
  • CV: Computer Vision
  • DARPA: Defense Advanced Research Projects Agency
  • DL: Deep Learning
  • DQN: Deep Q-Network
  • ELM: Extreme Learning Machine
  • ESN: Echo State Network
  • FAA: Federal Aviation Administration
  • FLOPS: Floating Point Operations Per Second
  • FNN: Feedforward Neural Network
  • GAN: Generative Adversarial Network
  • GMM: Gaussian Mixture Model
  • GPT: Generative Pre-trained Transformer
  • HMM: Hidden Markov Model
  • HPC: High Performance Computing
  • ICA: Independent Component Analysis
  • IOT: Intelligence of Things
  • Jupyter: Julia, Python, and R
  • K-Means: K-Clustering Mean Algorithm
  • KNN: K-Nearest Neighbor
  • LDA: Latent Dirichlet Allocation
  • LSTM: Long Short-Term Memory
  • MDP: Markov Decision Process
  • ML: Machine Learning
  • MLP: Multilayer Perceptron
  • NLP: Natural Language Processing
  • OCR: Optical Character Recognition
  • PCA: Principal Component Analysis
  • Q-Learning: Quality Learning
  • RBF: Radial Basis Function
  • RL: Reinforcement Learning
  • RNN: Recurrent Neural Network
  • SAE: Stacked Autoencoder
  • SGNN: Sparse Gaussian Neural Network
  • SOM: Self-Organizing Map
  • SRNN: Simple Recurrent Neural Network
  • STT: Speech-to-Text
  • SVM: Support Vector Machine
  • SVD: Singular Value Decomposition
  • TF-IDF: Term Frequency-Inverse Document Frequency
  • TSE: T-distributed Stochastic Neighbor Embedding
  • TTS: Text-to-Speech
  • UCB: Upper Confidence Bound
  • VA: Virtual Assistant
  • WGAN: Wasserstein Generative Adversarial Network.