Kunpay's artificial intelligence technology "KPDTS inside-Athena" includes the following components and functionalities:

Data Collection and Preprocessing：The system is responsible for collecting and organizing data for training and testing purposes. This involves operations such as data cleaning, data labeling, and data augmentation to ensure the quality and usability of the data.

Machine Learning Algorithms and Models：The system uses machine learning algorithms and models to train and optimize models, enabling them to learn from data and extract patterns and knowledge.

Natural Language Processing (NLP) and Computer Vision：The system integrates natural language processing and computer vision techniques to process text and image data. This includes tasks such as text classification, sentiment analysis, semantic understanding, image recognition, and object detection.

Decision-making and Reasoning Engine："KPDTS inside-Athena" can utilize rule-based inference, expert systems, or knowledge graph-based techniques for decision-making and reasoning. This enables the system to perform logical inference, problem-solving, and decision-making based on previously acquired knowledge and rules.

Automation and Autonomous Behavior："KPDTS inside-Athena" can achieve autonomous behavior and automated decision-making. This involves planning and control algorithms that allow the system to perceive, understand, and take corresponding actions in real-world environments.

User Interface and Interaction："KPDTS inside-Athena" has a user interface to facilitate interaction between users and the system. This can take various forms, including graphical user interfaces (GUI), speech recognition and synthesis interfaces, chatbots, and more.