UC Berkeley researchers say large language models have gained "metalinguistic ability," a hallmark of human language and ...

A clever method from Caltech researchers now makes it possible to unravel complex electron-lattice interactions, potentially transforming how we understand and design quantum and electronic materials.

This study reports the important development and characterization of next-generation analogs of the molecule AA263, which was previously identified for its ability to promote adaptive ER proteostasis ...

The 'Tree of Robots' from the Technical University of Munich classifies robots by sensitivity, aiming for a new safety and ...

Background Data regarding long-term recovery from autoimmune encephalitis (AE) remain limited. Methods This retrospective ...

To solve the spectra distribution problem, we propose using self-learning, a domain adaptation (DA) method to self-adapt to the domain shift. It involves an iterative process of predicting on the ...

Transfer learning (TL) is a powerful approach that enhances the generalizability of cross-domain fault diagnosis. However, the challenge of acquiring high-quality mechanical fault signals limits its ...

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