Phys.org

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 ...
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 ...
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

Developing a hybrid machine learning model to predict treatment time duration as a workflow regulation tool in public and private dental clinics

This study aimed to design a desktop application that implements machine learning algorithms to predict dental treatment time durations, assess the accuracy of the model, and assess its clinical ...
Analytics Insight

Data Science Project Workflow: 9 Essential Steps for Success in 2026

Overview: Fewer than half of enterprise machine learning models reach production, and the root cause is almost always a ...