Nature

AI models were given four weeks of therapy: the results worried researchers

Chatbots put through psychotherapy report trauma and abuse. Authors say models are doing more than role play, but researchers ...
Frontiers

Modeling, Machine Learning, Bioinformatics and Multi-omics Data in Soil Science

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...
Frontiers

KG2ML: Integrating Knowledge Graphs and Positive Unlabeled Learning for Identifying Disease-Associated Genes

The final, formatted version of the article will be published soon. Background Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known relationships among ...
GlobalSpec Insights

Machine learning helping locate what cannot be seen

The key idea behind our framework is that life produces molecules with purpose, while nonliving chemistry does not. Cells ...
IEEE

Learning With Partial-Label and Unlabeled Data: Contrastive With Negative Example Separation

Abstract: Semi-Supervised Partial Label Learning (SSPLL) is an important branch of weakly supervised learning, where the data consists of both partial label examples and unlabeled ones. In SSPLL, the ...
IEEE

Improving Battery Life Prediction With Unlabeled Data: Confidence-Weighted Semi-Supervised Learning With Label Propagation

Abstract: Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is crucial for the safety and reliability of electric vehicles (EVs). Although data-driven approaches have been ...