News

Study uses machine learning to map pH-dependent performance of tin catalysts
Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While ...
AlphaGalileo1d
Machine Learning Potential-Driven Insights into pH-Dependent CO₂ Reduction
Researchers at Tohoku University used machine learning potential to create large-scale models of tin (Sn) catalysts under ...
BW Converting’s Machine Learning Project Selected for New Microsoft AI Co-Innovation Lab in Milwaukee
A digital innovation initiative about fault anomalies has been selected as one of the first projects for the new Microsoft AI ...
Exploring interpretable machine learning
I am a computational biologist interested in interpretable machine learning for genomics and health care. Interpretable ...
IEEE2d
Integration of Image Processing and Machine Learning Technique applied in Agriculture Sector Using Python - IEEE Xplore
Image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries and tools ...
InfoWorld2d
AWS adds incremental and distributed training to Clean Rooms for scalable ML collaboration
The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning ...
IEEE6d
A Review of Machine Learning and Deep Learning Applications
Machine learning is one of the fields in the modern computing world. A plenty of research has been undertaken to make machines intelligent. Learning is a natural human behavior which has been made an ...