Core Viewpoint - The integration of Explainable AI (XAI) technology by Micro Algorithm Technology (NASDAQ: MLGO) significantly enhances threat detection capabilities in blockchain networks, providing transparency and understanding in decision-making processes [1][5]. Group 1: Technology and Methodology - Micro Algorithm Technology has developed an intelligent threat detection system that combines deep learning models with an explainability module, allowing for automatic learning of attack patterns from large volumes of network traffic data [1][3]. - The system employs data collection and preprocessing techniques to ensure data quality and consistency, followed by feature extraction and selection using machine learning algorithms [3]. - The threat detection model is trained and evaluated using explainable machine learning algorithms, ensuring high accuracy and interpretability through iterative optimization [3]. Group 2: Applications and Impact - The application of Micro Algorithm Technology's XAI in blockchain networks has led to significant improvements in threat detection accuracy and efficiency, particularly in identifying anomalous transactions and malicious nodes [4]. - The technology effectively detects unusual transaction patterns, such as large or frequent transactions, which may indicate fraudulent activities, enabling rapid response to mitigate losses [4]. - In smart contract auditing, the technology analyzes code logic to identify potential security vulnerabilities, thereby preventing attacks due to contract flaws [4]. Group 3: Future Prospects - As technology continues to evolve, Micro Algorithm Technology's solutions are expected to find broader applications, contributing to the creation of a more secure and intelligent network environment [5].
微算法科技(NASDAQ：MLGO)基于可解释的人工智能技术XAI，增强区块链网络威胁检测的决策能力