A new study published in the journal One Earth reveals that the way ecosystems collapse—abruptly or gradually—may depend on ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to ...

To automatically mine structured semantic topics from text, neural topic modeling has arisen and made some progress. However, most existing work focuses on designing a mechanism to enhance topic ...

Back then, xAI blamed it on an “unauthorized modification” to its prompt instructions. This time, the mess was much bigger. The disaster began after xAI made internal changes aimed at making Grok ...

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Comparing Modeling Approaches for Distributed Contested Logistics. American Journal of Operations Research, 15, 125-145. doi: ...

Abstract: The Land Administration Domain Model (LADM) standardizes land management by integrating legal, spatial, and administrative information. This study examines LADM-related research using ...

The MIT model predicts molecular binding affinity at newfound speed and accuracy, offering a powerful tool for commercial drug discovery.

The field of topic modelling was mostly dominated by Bayesian graphical models during the last decade. With the rise of transformers in natural language processing, however, several successful models ...

Xi, X., Guo, Y., Song, X. and Wang, J. (2021) Research on the Technical Similarity Visualization Based on Word2vec and LDA Topic Model. Journal of the China Society for Scientific and Technical ...

Can't remember the title of a book? These tips will help you can find any book's title or author with just a vague ...