Jun '24 (edited) โข ๐ป Technology
The AI Universe: A Comprehensive Overview
Understanding AI is crucial. Here's a quick look at its main areas:
๐ค Artificial Intelligence
- ๐ Planning and Scheduling
- ๐ฃ๏ธ Natural Language Processing (NLP)
- ๐๏ธ Computer Vision
- ๐ง Knowledge Representation
- ๐๏ธ Speech Recognition
- โ๏ธ AI Ethics
- ๐งฉ Cognitive Computing
๐ค Machine Learning
- ๐ Dimensionality Reduction
- ๐ณ Decision Trees
- ๐ผ Support Vector Machines (SVM)
- ๐ค Ensemble Learning
- ๐ง Feature Engineering
๐ค Neural Networks
- โ๏ธ Perceptrons
- ๐ผ๏ธ Convolutional Neural Networks (CNNs)
- ๐ Long Short-Term Memory (LSTM)
- ๐ธ๏ธ Multi-Layer Perceptron (MLP)
- ๐งฉ Backpropagation
๐ค Deep Learning
- ๐ Deep Neural Networks (DNNs)
- ๐ฅ๏ธ Deep Convolutional Neural Networks (CNNs)
- ๐น๏ธ Deep Reinforcement Learning
- ๐ฆ Capsule Networks
๐ค Generative AI
- ๐ Language Modeling
- ๐ Transfer Learning
- ๐ง Transformer Architecture
- ๐ฏ Self-Attention Mechanism
- ๐ฃ๏ธ Natural Language Understanding
- ๐ Summarization
- ๐ฌ Dialogue Systems
If you found this overview useful, drop a ๐!
Source: Brij Kishore Pandey (@brijpandeyji)
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The AI Universe: A Comprehensive Overview
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