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#semantic-memory News & Analysis

2 articles tagged with #semantic-memory. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Jun 96/10
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MemoVAD: Resource-Efficient Video Anomaly Detection via Dynamic Semantic Memory in Edge Computing Scenarios

Researchers introduce MemoVAD, an edge-cloud collaborative framework that enables efficient video anomaly detection on resource-constrained devices by selectively querying cloud-based Vision-Language Models only for uncertain or novel scenarios. The system uses dynamic semantic memory to cache verified patterns, reducing computational overhead while maintaining detection accuracy on surveillance tasks.

AINeutralarXiv – CS AI · Mar 34/105
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Emerging Human-like Strategies for Semantic Memory Foraging in Large Language Models

Researchers analyzed how Large Language Models access semantic memory using the Semantic Fluency Task, finding that LLMs exhibit similar memory foraging patterns to humans. The study reveals convergent and divergent search strategies in LLMs that mirror human cognitive behavior, potentially enabling better human-AI alignment or productive cognitive disalignment.