Applications of Artificial Intelligence, ML, and DL

Real‐world Artificial Intelligence (AI) solutions need different tools for managing data, deployed at various scales. AI enables the machine to understand, make interactions, and communicate with humans in a human way. Machine learning (ML) can be termed as an application of AI that offers systems and the ability to learn and improve automatically from the experiences without explicit programming. In deep learning (DL), the computer will take inputs or learn from sound, images, or text and perform the action accordingly. There can be many examples of DL applications that are currently getting known: aerospace and defense, driving cars, medical, industrial automation, and electronics. The comparison between ML and DL can be done on the following basis: data dependencies, hardware dependencies, problem‐solving approach, feature engineering, execution time, and interpretability. Virtual assistants based on ML help people on many platforms, such as: mobile applications, smartphones taking multiple commands, and smart speakers.