Hosted on MSN

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

"Our workflow employs a unique strategy where machine learning models first predict the most probable space groups and crystal densities, filtering out unstable, low-density candidates before ...
Business Wire

Telescent and MIT CSAIL Collaborate to Accelerate Machine Learning Workflows

IRVINE, Calif.--(BUSINESS WIRE)--Telescent Inc., a leading manufacturer of automated fiber patch-panels and cross-connects for networks and data centers, announces today that results of the company’s ...
Nature

Machine learning workflows beyond linear models in low-data regimes

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...
SiliconANGLE

JFrog-Amazon SageMaker integration aims to streamline machine learning workflows

Software supply chain company JFrog Ltd. announced today a new integration with Amazon SageMaker to enable developers and data scientists to collaborate efficiently on building, training and deploying ...