Phys.org

Fine-structure sensitive deep learning framework for prediction of catalytic properties with high precision

The fine structure of the catalytic surface has a significant impact on structural sensitive reactions, and high-throughput (HT) screening and machine learning (ML) are believed to effectively explore ...
CustomerThink

Enhancing The Precision of ML Models with Human-in-the-Loop Data Annotation

Machine Learning (ML) is significantly transforming the way we utilize technology. However, the expansive usage of Artificial Intelligence (AI) and Machine Learning has made these tech-driven systems ...
techtarget

Employing ML to boost pharmacokinetics in drug development

As biopharma companies strive for more efficient drug development processes, machine learning has emerged as a powerful tool for enhancing pharmacokinetics -- studying how drugs move through the body.
EurekAlert!

Fine-structure sensitive deep learning framework for prediction of catalytic properties with high precision

image: A HIGH-PRECISION ML FRAMEWORK NAMED GLCNN THAT COMBINES "GLOBAL + LOCAL" FEATURES CAN CAPTURE ORIGINAL FINE STRUCTURES OF CATALYTIC SURFACES AND EXTRACT THE KEY FACTORS AFFECTING CATALYTIC ...