Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
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An international brain imaging analysis reveals how psychedelics rewire neural circuits
An international analysis combining brain imaging data from multiple independent studies has identified a common pattern in ...
Decades ago, Paul Erdős used randomness to illuminate the vast and weird world of networks. Now mathematicians are making his ...
Abstract: This study introduces a novel approach that integrates dynamic Bayesian network with attention based spatio-temporal graph convolutional network to forecast railway train delays, capturing ...
Why AI agents stall in production: fine-tuning forgets, RAG leaks context. Hypernetworks generate a task-specific model from your policies at inference time.
For two decades, the telecommunications industry has operated on a familiar premise: Build the pipe, push the data and scale the infrastructure. My previous writings explored how the convergence of ...
Abstract: The Bayesian network (BN) method has been identified as a research hotspot in dynamic risk assessment (DRA) for systems. The traditional BN inference process relies on crisp probabilities; ...
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