Neo's original DynamicTab technology utilizes a three-layer AI model to reconfigure the label management experience: first, it records the user's browsing trajectory through LSTM neural networks to establish a personal knowledge graph; then it uses clustering algorithms to automatically group labels with related topics (e.g., work documents, industry news, etc., are categorized as "Item A"); finally, it uses a predictive model to preload high-frequency usage pages. Finally, the high-frequency pages are pre-loaded by the prediction model. Measurement data shows that this approach enables designers to increase the effective working time from 19% to 81% when dealing with 30+ web pages at the same time, and the system also supports voice command control (e.g., "Organize research materials") and automatically archives outdated tags based on the progress of the project. Compared to Chrome's manual grouping or Edge's vertical tabs, Neo realizes true context-aware workflow management.
This answer comes from the articleNorton Neo: The Smart and Secure AI BrowserThe
