Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes ...

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...

Background: The performance of a classification algorithm eventually reaches a point of diminishing returns, where the additional sample added does not improve the results. Thus, there is a need to ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Abstract: The development of big data technology makes the business logic of industrial research and park investment gradually transition to artificial intelligence assistance. In the business ...

Abstract: This study proposes an image-text multimodal classification algorithm based on a combination of convolutional neural networks (CNN) and Transformer, aiming to solve the key problems in ...