Frontiers

Machine Learning for Mining Plant Functional Genes

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
Psychology Today

Diagnosing Schizophrenia With Machine Learning

Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...
Electronic Design

New Open Battery Data Format Promotes Battery Data Interoperability

The open Battery Data Format standard for battery testing data enables researchers, designers, and manufacturers, as well as ...
IEEE

Ontology-Driven Pipeline for the Automated Generation of Multimodal Datasets for Supervised Learning in Natural Hazard Models

Abstract: Effective machine learning for natural hazard prediction and monitoring depends on timely access to high-quality, event-specific datasets and models capable of adapting to evolving ...
IEEE

sQUlearn: A Python Library for Quantum Machine Learning [Focus: Quantum Software and Its Engineering]

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...