Jessica Lin and Zhenqi (Pete) Shi from Genentech describe a novel machine learning approach to predicting retention times for ...

TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can transform operations by preventing equipment failures, ...

Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Atlassian has been building its new machine learning capabilities for the past three year: Here's how they help users save time" ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...

MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...