Stop Calling Everything AI

This article was written to give practical understanding and learn the terms of Artificial Intelligence, Machine Learning, and Deep Learning.

AI (Artificial Intelligence)

The science of making things smart or, you can say that we get the machines to do our job . The main point is that AI  can be a classic program installed in your robot cleaner like edge detection.

AI Example

sophia: I am Hanson Robotics’ latest human-like robot, created by combining our innovations in science, engineering, and artistry. Think of me as a personification of our dreams for the future of AI, as well as a framework for advanced AI and robotics research, and an agent for exploring human-robot experience in service and entertainment applications.

ML (Machine Learning)

A system that can recognize patterns by using examples rather than by programming them. If your system learns constantly, makes decisions based on data rather than algorithms, and change its behavior, it’s Machine Learning.

ML Example

Face_classification: Real-time face detection and emotion/gender classification.

DL (Deep Learning)

A set of Techniques for implementing machine learning that recognizes patterns of patterns - like image recognition. The systems identify primarily object edges, a structure, an object type, and then an object itself.

DL Example

Customer experience: machine learning is already used by many businesses to enhance customer experience. Just a couple of examples include online self-service solutions and to create reliable workflows. There are already deep-learning models being used for chatbots.

Enjoy watching this video from Tonight Showbotics.

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