Traditional control strategies have limited success in addressing these issues. Therefore, advanced methods like machine learning (ML) are being explored to enhance prediction, optimization, and ...

A machine learning (ML) program was then trained on this data, and subsequently employed to look at and sort individual pieces of plastic waste. [Related: How to actually recycle.

TrashBot uses sensors, cameras, and machine learning to ensure waste ends up in the right bin. (CleanRobotics Photo) PITTSBURGH — At a mall in Sydney, Australia, “the world’s first smart ...

Machine learning, the vendor says, has the potential to detect and eject batteries based on visual features, ideally reducing the risk of ignition during the sorting process. Recycleye worked with ...

Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.

Models to predict churn “Machine learning is a tool and like most tools, it works best when used properly,” said Matei Zaharia, who is the chief technologist and co-founder of Databricks.