| AI Type | What It Does | Common Examples | Typical Uses |
|---|---|---|---|
| Machine Learning (ML) | Learns patterns from data to make predictions or decisions | Recommendation systems (Netflix, Amazon), fraud detection | Prediction, classification, decision-making |
| Deep Learning (DL) | Advanced ML using neural networks for complex tasks | Speech recognition (Siri), image recognition | Voice assistants, medical diagnosis |
| Natural Language Processing (NLP) | Understands and generates human language | ChatGPT, Google Translate, Grammarly | Writing, translation, chatbots |
| Computer Vision (CV) | Interprets images and videos | Facial recognition, self-driving car vision | Surveillance, healthcare imaging, automation |
| Generative AI | Creates new content (text, images, code, audio) | ChatGPT, DALL·E, Midjourney | Content creation, education, design |
| Expert Systems (Rule-Based AI) | Uses predefined rules to make decisions | Medical diagnosis systems, tax software | Decision support, advisory systems |
| Robotics AI | Controls physical machines and robots | Industrial robots, surgical robots | Manufacturing, healthcare, logistics |
| Reinforcement Learning (RL) | Learns through trial and error (rewards/punishment) | AlphaGo, game AI, robotics control | Gaming, optimization, autonomous systems |
| Speech AI | Processes and generates human speech | Alexa, Google Assistant | Voice commands, accessibility tools |
| Multimodal AI | Combines multiple data types (text, image, audio) | GPT-4/5 vision models, Gemini | Advanced assistants, education tools |
myPATH
Equity Institute