AI assistant Alexandra expands support for navigating Moscow’s transport system
Neural networks process 53% of the virtual assistant’s knowledge base.
An AI-powered chatbot called Alexandra has begun answering questions about ground transport, trams, and personal mobility services in Moscow, city transport officials said.
According to the Moscow Department of Transport and Road Infrastructure Development, the virtual assistant now handles a wider range of transport-related queries using artificial intelligence.
Neural networks handle most of the knowledge base
More than half of Alexandra’s knowledge base is processed by neural networks. The built-in AI can identify the intent even behind unusually phrased questions. The assistant is able to maintain coherent dialogue, retain conversational context, and remember previous user requests. The system is self-learning and improves its accuracy with each interaction.
Using neural networks, the virtual consultant provides information on the metro, the Moscow Central Ring, the Moscow Central Diameters, suburban trains, the Aeroexpress airport service, taxis, car sharing, and scheduled river transport. Alexandra also answers questions in an informal tone about road conditions, advertising placement, navigation, and passenger services, and can even share its favourite books and interests.
