An artificially intelligent machine collects real time data and tries to figure out new patterns in it. Machines learn in a similar way human being; by supervision or by observation and respond according to past experiences in similar scenarios. A machine learns from its mistakes. The more the machine gets trained on data, the more accurate result it gives.
For example: Any virtual assistant initially trained with few basic instructions, but with time, the machine captures the data fed by the user, may be the wake-up time of the user, sleeping time, dinner time and so on. Later in time, the machine gives reminders of similar things on the basis of data and adapts these new commands.
R Just as humans learn how to walk and then improve this skill with the help of their experiences, an AI machine too gets trained first on the training data and then optimizes itself according to its own experiences which makes AI different from any other technological device/machine.
