Conference For AI Scientists

The Conference For AI Scientists 2026 is a practitioner-focused conference designed specifically for researchers and engineers who build, train, and study AI systems. Unlike venues that split attention between AI and its applications, this conference centers the scientific process of AI development itself: designing experiments, understanding model behavior, developing benchmarks, diagnosing failures, and advancing the empirical methodology of AI research. Topics include training dynamics, model evaluation, scaling behavior, data curation, reproducibility, and the craft of rigorous AI experimentation.

The conference is aimed at ML researchers, AI engineers, and research scientists in both academia and industry who want to engage with peers around the scientific quality of AI research practice. It addresses a recognized gap in the conference landscape: a venue where the methodology of AI science, not just its results, is the primary subject of inquiry. Graduate students developing their research practice will find the conference's focus on rigor, reproducibility, and experimental design particularly formative.