Call for Papers

We encourage submissions from next-generation processing domains that have the potential to strongly outperform traditional AI system methods in terms of speed and efficiency or that can unlock new computational paradigms for AI. Areas of interest include analog, asynchronous, event-based, probabilistic, neuromorphic, photonic, and quantum computing, but they may not be the only ones. Submissions of early research and pre-printed work is encouraged.

Works that survey, compare, or integrate next-gen processing systems are highly encouraged. Specific contributed paper themes include:

• Domain survey papers describing research trends and future outlooks and challenges.

• Assessments of practical viability and technological timeframes for next-gen processing.

• Evaluation methods for comparing next-generation AI systems, both internally and externally to their domain.

• Benchmark results for next-gen AI systems against traditional systems.

• Application-specific systems highlighting next-gen technology domain strengths.

• Integrations of next-gen processing with traditional computing systems.

• Programming frameworks or computing abstractions for next-gen algorithms.

Submission Instructions

Submission Deadline: April 7 April 14, 2023, 11:59pm AoE

Author Notification: April 30 May 3, 2023

Submissions should be at most four pages long (not counting references) and follow the MLSys 2023 formatting guidelines. Reviews will be single-blind.

Submission site: https://cmt3.research.microsoft.com/SNAP2023