NovaMind AI 5.0: Innovations Led by Professor Thomas Bernhard

NovaMind AI 5.0 is a development led by Professor Thomas Bernhard, an intelligent investment app that is adapted to current market requirements through AI algorithms and years of data collection, enabling investors to make the best possible decisions. This system will enter its testing phase this year.

The four core functional principles of NovaMind AI 5.0 are:

Trading Signal Decision System

AI-Based Programmed Trading Systems

Strategic Investment Decision System

Expert and Investment Advisory System

The basic structure of an AI neural network consists of multiple layers of nodes (neurons) interconnected through weights. It essentially includes the following layers:

Input layer: receives raw data

Hidden layers: process the data through complex calculations and weight adjustments

Output layer: generates the final result

How an AI neural network works:
Each node receives input signals, processes them using an activation function, and passes the result to the next layer. The network continuously adjusts the weights to minimize prediction errors. This process is called training.