Phys.org

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

To address these challenges, Associate Professor Takuya Taniguchi from the Center for Data Science and Ryo Fukasawa from Graduate School of Advanced Science and Engineering at Waseda University, Japan ...

How a machine learning engineer built a churn prediction model that transformed a subscription platform’s retention strategy

A subscription technology platform with over 100,000 users was losing customers each month despite having access to ...
USA Today

Data Engineer to Machine Learning Engineer Transition – 2026 Guide

The rapid acceleration of AI adoption across industries is reshaping not only products, but also the engineering roles that support them. As organizations move machine learning systems from ...

Why 'AI Engineer' Is Already An Outdated Job Title

Today, there are several AI engineer roles that require fundamentally different skill sets, workflows and operating models.​ ...
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 ...
Nature

Machine learning potentials for alloys: a detailed workflow to predict phase diagrams and benchmark accuracy

High-entropy alloys (HEAs) have attracted increasing attention due to their unique structural and functional properties. In the study of HEAs, thermodynamic properties and phase stability play a ...