Artificial Intelligence

New AI Method Improves Ocean Model Calibration via Localized Posterior Inference

Researchers have introduced a novel Bayesian calibration technique that addresses model discrepancies in complex physical systems by constructing localized posterior distributions. By weighting observations based on…
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Artificial Intelligence

LRMoE Introduces Demand-Side Load Re-Calibration for Efficient MoE Training on Memory-Constrained Nodes

Researchers have unveiled LRMoE, a new memory-aware training system designed to address computation and communication bottlenecks in Sparse Mixture-of-Experts (MoE) models. By jointly recalibrating backward demand and…
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