Lin Hsin Hsin Intelligence Center



AI by CATEGORIES

Classification Method	Description	Key Sub-Types	Primary Use Cases	Examples
By Technology	Underlying systems powering AI Models	Machine Learning (ML) Deep Learning (DL) NLP Computer Vision (CV) Robotics	Data Analysis Pattern Recognition Automation Content Generation	Search Engines Voice Assistants Fraud Detection
By Capability	How intelligent or generalized the AI is	Narrow AI (weak AI - designed for specific tasks only) General AI (strong AI): Theoretical AI with human-like cognitive abilities Superintelligence (ASI): Hypothetical AI that surpasses human intelligence in all aspects, including creativity, problem-solving, & innovation.	Evaluating scope & potential	Chatbots Theoretical AGI Research
By Functionality	How an AI system learns, adapts & behaves	Reactive AI Responds to inputs in real time without memory or learning Memory AI Uses past data to improve performance over time Theory of Mind AI Theoretical; would understand human emotions, beliefs & intentions to interact socially Self-Awareness AI Hypothetical AI with consciousness & self-awareness -- currently exists only in science fiction	Understanding evolution & autonomy	Conversational AI Autonomous Vehicles
By Business Purpose	The direct value or role the AI plays in work	Generative AI Predictive AI Assistive AI Conversational AI Agentic AI Multimodal AI Processes & generates multiple data types (text, image, audio, video) simultaneously	Productivity Forecasting Automation Knowledge Access	Writing tools Forecasting Engines Workflow Automation AI Agents