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Limited Memory AI is a type of artificial intelligence that uses past data and experiences for a short period of time to make decisions or predictions.^[1][2][3] Unlike reactive AI systems, which respond only to current inputs, limited memory AI can temporarily store information and learn from recent observations.^[4][5][6]

Most modern artificial intelligence systems are considered limited memory AI.^{[citation needed]}

Examples include self-driving cars, recommendation systems, fraud detection tools, and conversational chatbots.^[7][8] These systems analyze historical data, recognize patterns, and improve responses based on recent interactions.^[9]

Limited memory AI usually works through machine learning models such as neural networks, recurrent neural networks (RNNs), and long short-term memory (LSTM) systems. The stored information is generally temporary and is replaced or updated as new data becomes available.^[10]

• Autonomous vehicles
• Recommendation engines
• Virtual assistants and chatbots
• Fraud detection systems
• Facial recognition systems

• Artificial intelligence
• Machine learning
• Neural network