AI & Machine Learning
From deep learning architectures to production ML systems, exploring how intelligent systems are built, deployed, and scaled.
The AI landscape has transformed from research curiosities to production-grade systems powering everything from search to drug discovery. This theme spans the full stack: novel architectures and training paradigms, reinforcement learning and planning, foundation model fine-tuning, MLOps and model serving at scale, and the emerging science of AI evaluation and safety. We welcome contributions from both the theoretical and applied ML communities.
