We advance AI and ML through foundational long-term research and applied projects. Key fundamental focus areas include natural language processing, recommender systems, and reinforcement learning. Applied topics cover engineering productivity, distributed computing, and broader computer science areas. We centralize all team outputs in one place for easy access to our papers and open-source releases.

We explore artificial intelligence and machine learning through both foundational long-term research and practical applied projects. Key focus areas of fundamental studies include natural language processing, large language models, computer vision, recommender systems, and reinforcement learning. Our applied research topics focus on engineering productivity and AI technologies for software engineers.