It has been a challenge to employ machine learning (ML) to optimize casting processes due to the scarcity of data and difficulty in feature expansion. Here, we introduce a nearest neighbor search ...

This study aimed to optimize the fused deposition modeling (FDM) process parameters for an 8% aramid fiber-reinforced polyamide filament (NylonAF80) to enhance the quality of printed parts. Six ...

Advanced packaging is transforming semiconductor manufacturing into a multi-dimensional challenge, blending 2D front-end wafer fabrication with 2.5D/3D assemblies, high-frequency device ...

As digital transformation advances throughout manufacturing organizations, incorporating advanced process analytics ...

Forbes contributors publish independent expert analyses and insights. Gaurav Sharma is a London-based analyst who covers energy & ESG. This voice experience is generated by AI. Learn more. This voice ...

Artificial intelligence and process intelligence aren’t just buzzwords — they’re strategic tools reshaping how organizations streamline operations, reduce inefficiencies and unify data across ...

In smart manufacturing, timely and accurate data flow is critical. Manufacturers seek to monitor every step in their process to ensure optimal results. However, significant challenges include ...

A self-learning optimizer improved gas production while cutting gas lift usage by 44% across five Delaware basin wells ...

85% of enterprises want to become agentic within three years — yet 76% admit their operations can’t support it. According to the Celonis 2026 Process Optimization Report, based on a survey of more ...

U.S. food manufacturers face a lot of challenges today. They must produce high-quality food products while using fewer resources, and they must also be able to track their products throughout the ...