Scientific Research Publishing

Proposal for a Machine Learning Model to Improve Hauling Productivity in an Open-Pit Mine ()

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

Janmejaya Mishra’s Work Highlights The Expanding Role Of AI And Machine Learning In Predictive Intelligence Systems

Principal Developer Janmejaya Mishra explores how AI and machine learning are advancing predictive intelligence systems ...
Devdiscourse

AI in critical care: Predictive algorithms can support sepsis decision-making

A new study explores how artificial intelligence models can support clinical decision-making for sepsis management. Their research, titled “Responsible AI for Sepsis Prediction: Bridging the Gap ...
Risk

Banks seek to advance predictive pricing models

Artificial intelligence has increasingly become an all-encompassing term in financial circles. But in foreign exchange trading, what does it actually mean? Banks have been vocal about how they have ...
University of Surrey

Data-efficient and transferable machine learning-based predictive models for catastrophic risk assessment in offshore wind infrastructure

This industry-collaborative PhD project offers the opportunity to work at the intersection of machine learning, structural engineering and renewable energy to develop innovative and impactful ...

2026 Data Scientist to Machine Learning Engineer Career Transition Guide Released – Build Production AI Systems by Interview Kickstart

Interview Kickstart Releases In-Depth Career Transitions Guide on Moving from Data Scientist to Machine Learning Engineer as ...

AI agents are flashy, but machine learning still pays the bills

As agent hype fades, machine learning quietly proves it’s still essential.