Deep Mantic focuses on the most challenging problems in complex system modeling which are interdisciplinary in nature and have no universal solutions.

• Most of these challenges arise in applications with severe data limitations or which prohibits effective usage of mainstream machine learning and AI approaches
• Such problems include but not limited to the following:

o Rare and complex states identification and forecasting
o Intrinsic high-dimensionality of the problem and/or hard-to-detect regime changes
o Representation and identification of aesthetics, emotional and other hard-to-quantify
contents in images and other data
o Creation of AI systems with human-like behavior and intuitive interpretability