Abstract: Recent works have increasingly adopted pre-trained language models, such as BERT, to model technical semantics for patent relevance assessment. However, existing truncation and divide-merge ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Cleaning up audio usually means scrubbing timelines and tweaking filters, but Meta thinks it should be as easy as describing the sound you want. The company has released a new open-source AI model ...
Introduction: The exploration of life’s meaning has been a key topic across disciplines, and artificial intelligence is now beginning to investigate it. Building on these foundations, we moved from ...
The recent release of ModernBERT by LightOn and AnswerAI aims at providing the best base model that can be then used in different industry verticals. Efficient Continued Pre-Training, Streamlined for ...
In cognitive neuroscience, the integration of deep neural networks (DNNs) with traditional neuroscientific analyses has significantly advanced our understanding of both biological neural processes and ...
ABSTRACT: In the field of equipment support, the method of generating equipment support sentence vectors based on word vectors is simple and effective, but it ignores the order and dependency ...
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