The Symposium on Networking and Artificial Intelligence
SNAI is a single-track symposium dedicated to the two-way intersection of computer networking and artificial intelligence. It was founded in 2024 to give a stable, peer-reviewed home to research that had previously been scattered across networking, ML, and systems venues.
SNAI welcomes submissions that advance either side of the network/AI intersection.
Learned congestion control, traffic engineering, routing, scheduling, anomaly detection, intrusion and fault diagnosis, intent-based and self-driving networks, closed-loop network automation, telemetry summarization, configuration synthesis, and operator-facing AI tools.
Collective communication, RDMA and lossless fabrics, topology design and topology-aware scheduling for training clusters, congestion control for AI workloads, distributed training under bandwidth and jitter constraints, federated and split learning, edge inference placement, and the systems that sustain large-scale model serving.
SNAI began in 2024 as a single-track workshop of an associated conference, then grew rapidly into an independent annual symposium. Past editions:
SNAI is committed to a respectful, harassment-free environment for all participants, regardless of gender, gender identity, sexual orientation, disability, physical appearance, body size, race, age, or religion. All attendees, speakers, sponsors, and volunteers are expected to follow the SNAI code of conduct at all conference venues and online spaces.
Reports may be sent to [email protected]. Reports are handled confidentially by the conduct committee.