The Hierarchy of Artificial Intelligence (AI)
2024-10-14 18:47:46 222 0 Report 0
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This mind map explores 'The Hierarchy of Artificial Intelligence (AI),' providing a structured overview of AI's foundational components. It begins with the infrastructure layer, highlighting essential hardware like GPU clusters and ASIC chips, and software frameworks such as TensorFlow and PyTorch. The data management and security section delves into big data processing and privacy protection. The algorithm layer discusses machine learning and deep learning algorithms, including neural networks and convolutional networks. Additionally, the map covers AI applications in computer vision, speech processing, natural language processing, and planning systems, illustrating AI's vast capabilities and potential impact on various fields.
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Infrastructure layer
Hardware support
High-performance computing devices
GPU cluster
ASIC chip
Distributed storage system
Cloud Storage Platform
Local storage array
Software framework
Operating System Optimization
Real-time operating system
Resource scheduling algorithm
Deep learning library
TensorFlow
PyTorch
Data Management and Security
Big data processing platform
Hadoop
Spark
Data Encryption and Privacy Protection
Homomorphic Encryption
Differential privacy protection
Algorithm layer
Machine Learning Algorithm
Supervised Learning
Decision tree
Support Vector Machine
Unsupervised Learning
Clustering algorithm
Dimensionality reduction technique
Deep learning algorithm
Fundamentals of Neural Networks
Feedforward Neural Network
Recurrent Neural Network
Convolutional Neural Network
Image Recognition Network
Natural Language Processing Network
Computer Vision
Image Recognition
Face Recognition
Live detection technology
Multi-Pose Recognition
Object Detection
Traffic Sign Recognition
Medical image analysis
Video Analysis
Behavior Recognition
Anomaly behavior detection
Pose Estimation
Scene Understanding
Semantic Segmentation
3D reconstruction
Speech Processing
Speech recognition
Acoustic modeling
Feature Extraction
Vocoder technology
Language Modeling
Statistical Language Model
Deep Learning Language Model
Speech Synthesis
Text-to-Speech Conversion
Pronunciation Modeling
Rhythm control
Natural Language Processing
Text processing
Word segmentation and part-of-speech tagging
Rule-based approach
Statistical approach
Syntactic Analysis
Dependency Parsing Analysis
Phrase Structure Analysis
Semantic Understanding
Named Entity Recognition
Person Name Recognition
Place Name Recognition
Sentiment Analysis
Construction of sentiment lexicon
Deep Learning Sentiment Analysis
Planning and Decision-Making System
Path Planning
Static Path Planning
Shortest Path Algorithm
A* algorithm
Dynamic Path Planning
Real-time obstacle avoidance
Multi-objective Path Planning
Decision Support System
Decision Model Construction
Decision tree model
Bayesian network
Strategy Optimization
Reinforcement Learning
Genetic Algorithm
Predictive Analytics
Time series forecasting
ARIMA model
LSTM model
Trend Forecasting
Regression analysis
Causal analysis
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