AI is tied to Machine Learning in order to “educate” the application to “think” like a human. Machine Learning(ML) relies on large data sets and complex “Training” instructions. One of the greatest challenges of ML is to understand the context of human speech and text.

An important feature of Mindwave platform that is inherited by all its applications is the modeling of user sessions as conversational exchange: users learn from the knowledge embodied in a Mindwave applications, but Mindwave platform itself learns from the user’s actions, so that subsequent sessions for this or other users are richer and more engaging.

AI is tied to Machine Learning in order to “educate” the application to “think” like a human. Machine Learning(ML) relies on large data sets and complex “Training” instructions. One of the greatest challenges of ML is to understand the context of human speech and text.

An important feature of Mindwave platform that is inherited by all its applications is the modeling of user sessions as conversational exchange: users learn from the knowledge embodied in a Mindwave applications, but Mindwave platform itself learns from the user’s actions, so that subsequent sessions for this or other users are richer and more engaging.