Engineers often see the world as a series of problems waiting for precision, but the best of them learn that clarity without ...

IOP Publishing’s Machine Learning series is the world’s first open-access journal series dedicated to the application and ...

This is a remote position. We’re hiring an intermediate Data Analyst / ML Engineer to grow our sim racing app’s datadriven telemetry analysis features. You’ll turn raw laps into actionable insights – ...

To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like ...

Chris Sparrow, head of research, and Melinda Bui, director of trading analytics, at LiquidMetrix explain how applying domain knowledge to its database of client orders can create features that help ...

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control.

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context ...

This as-told-to essay is based on a conversation with 30-year-old Daryl Roberts, lead AI and machine learning engineer at Obney.ai, an AI consulting firm near Baton Rouge, Louisiana. His identity has ...

Soft skills such as communication and adaptability are also in high demand in the sector. Read more at straitstimes.com. Read ...