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 ...

Run oprn source Chatterbox on CPU or GPU with Python 3.11 with watermarking support, giving creators fast, traceable voice ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Tzeract and kwiff share their insights on the innovation behind Flex with SBC News and what it means for the future of sports ...

Discover the 10 best Infrastructure as Code (IaC) tools for DevOps teams in 2025. Learn how these tools enhance automation, stability, and scalability in cloud environments. Improve your deployment ...

Abstract: Multi-label feature selection can effectively resolve the challenges of high or even ultra-high dimensionality in multi-label data. However, most existing multi-label feature selection ...

Abstract: Unsupervised feature selection chooses a subset of discriminative features to reduce feature dimension under the unsupervised learning paradigm. Although lots of efforts have been made so ...

In agriculture sector, machine learning has been widely used by researchers for crop yield prediction. However, it is quite difficult to identify the most critical features from a dataset. Feature ...

Background: With the rapid development of artificial intelligence, prediction of warfarin dose via machine learning has received more and more attention. Since the dose prediction involve both linear ...

1 Center for Brain, Mind, and KANSEI Sciences Research, Hiroshima University, Hiroshima, Japan 2 Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan The complexity ...