self-learning systems

Self-learning systems are computer programs that improve their performance over time without being explicitly reprogrammed. They analyze data, detect patterns, and adapt their behavior based on new information, much like how humans learn from experience. These systems use algorithms, often involving machine learning techniques, to identify insights and make better decisions as they process more data. This ability to evolve and refine their capabilities makes them useful in areas like recommendation engines, speech recognition, and autonomous vehicles, enabling them to become more accurate and efficient without constant human oversight.