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•Black Hat USADark Reading •Black Hat AsiaAI Business •Shahed-killing interceptor drones may look simple, but building them to keep up with the threat isn't easyBusiness Insider •Detecting Complex Money Laundering Patterns with Incremental and Distributed Graph ModelingarXiv •UQ-SHRED: uncertainty quantification of shallow recurrent decoder networks for sparse sensing via engressionarXiv •JetPrism: diagnosing convergence for generative simulation and inverse problems in nuclear physicsarXiv •SECURE: Stable Early Collision Understanding via Robust Embeddings in Autonomous DrivingarXiv •DySCo: Dynamic Semantic Compression for Effective Long-term Time Series ForecastingarXiv •Model Merging via Data-Free Covariance EstimationarXiv •Massively Parallel Exact Inference for Hawkes ProcessesarXiv •Efficient and Principled Scientific Discovery through Bayesian Optimization: A TutorialarXiv •Sven: Singular Value Descent as a Computationally Efficient Natural Gradient MethodarXiv •An Online Machine Learning Multi-resolution Optimization Framework for Energy System Design Limit of Performance AnalysisarXiv •Forecasting Supply Chain Disruptions with Foresight LearningarXiv •Black Hat USADark Reading •Black Hat AsiaAI Business •Shahed-killing interceptor drones may look simple, but building them to keep up with the threat isn't easyBusiness Insider •Detecting Complex Money Laundering Patterns with Incremental and Distributed Graph ModelingarXiv •UQ-SHRED: uncertainty quantification of shallow recurrent decoder networks for sparse sensing via engressionarXiv •JetPrism: diagnosing convergence for generative simulation and inverse problems in nuclear physicsarXiv •SECURE: Stable Early Collision Understanding via Robust Embeddings in Autonomous DrivingarXiv •DySCo: Dynamic Semantic Compression for Effective Long-term Time Series ForecastingarXiv •Model Merging via Data-Free Covariance EstimationarXiv •Massively Parallel Exact Inference for Hawkes ProcessesarXiv •Efficient and Principled Scientific Discovery through Bayesian Optimization: A TutorialarXiv •Sven: Singular Value Descent as a Computationally Efficient Natural Gradient MethodarXiv •An Online Machine Learning Multi-resolution Optimization Framework for Energy System Design Limit of Performance AnalysisarXiv •Forecasting Supply Chain Disruptions with Foresight LearningarXiv

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Education Research: Can Large Language Models Match MS Specialist Training? - Neurology® Journals

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Education Research: Can Large Language Models Match MS Specialist Training? - Neurology® Journals

Google News: LLMNovember 20, 20251 min read0 views

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE5BLWF3Z0JKQklocTdpVEpkcWhEaDJWa2cxRVNDT3duN1FTN0tGd2NwSlBYYkZEbU43ZGtaMm1BWDNMY2Z4aGVfSC1mR0t4WFNDejk0U21BTkl5U1ktRDV2TjdOdkNOVnBtLXc?oc=5" target="_blank">Education Research: Can Large Language Models Match MS Specialist Training?</a> <font color="#6f6f6f">Neurology® Journals</font>

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