Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

Minitab, LLC, a global leader in data collection, predictive analytics, and process improvement solutions for manufacturers and organizations worldwide, today announced the acquisition of the Effex ...

From predictive maintenance to training, digital twins are becoming a core platform for operational efficiency in these sectors.

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

Overview: LinkedIn in 2026 is more than a resume platform, it’s a visibility engine powered by AI-driven search and engagement algorithms.Success depends on pro ...

With doubled I/O interfaces and refined low voltage TSV design, HBM4 reshapes how memory stacks sustain throughput under data ...

Can quantum become even bigger than AI? And will it help soften the AI bubble as it seems set to burst? Experts share their views.

While new tools target reconciliation, reporting, planning agents, and pricing optimization, experts say the technology must ...

The consolidation of SpaceX and xAI could lead to more adaptive use of robots, data, and AI in manufacturing, says ...