AINeutralarXiv – CS AI · 6h ago6/10
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Accelerating NeurASP with vectorization and caching
Researchers have significantly improved NeurASP, a neurosymbolic AI framework that combines neural networks with symbolic reasoning, through vectorization, batch processing, and caching techniques. The enhancements achieve speedups of multiple orders of magnitude, addressing previous computational bottlenecks that limited scalability for complex tasks.