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 ...
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 ...
IEEE

Natural Language Processing and Deep Learning for Bankruptcy Prediction: An End-to-End Architecture

Abstract: Machine and Deep Learning methods are widely adopted to predict corporate bankruptcy events for their effectiveness. Bankruptcy prediction is commonly modeled as a binary classification task ...