Athena Engine
A UCI-compatible 4-player chess engine using Deep Reinforcement Learning. Features a unique 160-square board layout and multi-agent adversarial training.
Case Study →Where research meets implementation. Exploring the boundaries of machine intelligence.
A UCI-compatible 4-player chess engine using Deep Reinforcement Learning. Features a unique 160-square board layout and multi-agent adversarial training.
Case Study →A voice-activated mental health assistant. It uses speech recognition and synthesis to provide an empathetic, conversational therapy experience.
Case Study →An intelligent movie recommendation chatbot. It analyzes user mood and keywords to suggest curated films from a diverse global database.
Case Study →