Research
The lab focuses on the foundations and systems needed for Gaming Artificial Narrow Intelligence: AI that can operate inside real-time, adaptive, and human-centered interactive environments.
Core Model Innovation
Interactive digital environments place unusual demands on AI models: they must reason over fast-changing state, incomplete information, and user intent while responding in real time. Research in core model innovation develops the foundations for models that are efficient, adaptive, and reliable enough to operate inside live games and immersive systems rather than only offline benchmarks.
Real-Time Content Systems
Games and other interactive worlds depend on content that reacts immediately to player choices, social context, and system constraints. Research in real-time content systems studies how AI can generate objectives, dialogue, assets, and scenarios that remain coherent, fair, and engaging while the environment is changing around the player.
Advanced Personalization Capabilities
Interactive experiences become more compelling when they can adjust to individual skill, preference, playstyle, and accessibility needs without breaking balance or immersion. Research in advanced personalization capabilities explores how AI systems can model players responsibly and adapt difficulty, recommendations, assistance, and collaboration in ways that improve the experience for each user.