Machine learning workflow enables faster, more reliable organic crystal structure prediction

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
IEEE

A Cloud-Agnostic Serverless Architecture for Distributed Machine Learning

Abstract: Serverless computing has shown vast potential for big data analytics applications, especially involving machine learning algorithms. Nevertheless, little consideration has been given in the ...
IEEE

Peacock Spot Detection in Olive Leaves Using Self Supervised Learning in an Assembly Meta-Architecture

Abstract: Spilocaea oleagina is a common and dangerous fungal disease in olive trees that significantly reduces olive production. The early and accurate detection of this disease is essential for ...
C&EN

TCNeKP: A Novel Deep Learning Architecture for Enzyme Catalytic Activity Prediction

Key Laboratory of Biorheological Science and Technology (Ministry of Education), College of Bioengineering, Chongqing University, Chongqing 400044, China College of Bioengineering, Chongqing ...
PNAS

Machine learning in chemistry

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...