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 ...
JSTOR Daily

Comparison of Multi-class and Binary Classification Machine Learning Models in Identifying Strong Gravitational Lenses

Publications of the Astronomical Society of the Pacific, Vol. 132, No. 1010 (2020 April), pp. 1-11 (11 pages) Typically, binary classification lens-finding schemes are used to discriminate between ...
Business Wire

Iterative and Enko Streamline Machine Learning Model Development to Drive Data Science Best Practices Based on GitOps Workflows

SAN FRANCISCO--(BUSINESS WIRE)--Iterative, the MLOps company dedicated to streamlining the workflow of data scientists and machine learning (ML) engineers, today announced Enko, the crop health ...
SiliconANGLE

Snowflake expands AI tools to streamline enterprise data workflows and speed machine learning

Snowflake Inc. is leading off its Snowflake Summit 2025 user conference in San Francisco today by unveiling a series of new artificial intelligence capabilities intended to simplify the ways users ...