AI optimizes injection molding beyond human understanding, creating new challenges for process control and failure recovery.

Hidden semiconductor defects often pass inspection but fail later in operation. Learn how latent defects form, evade ...

When contamination defects surface in advanced nodes, the root cause often spans tools, materials, and handling. This piece outlines how defect mapping, TEM, and SPC data converge to prove causation.

Explore essential statistical strategies for accurate protein quantification and differential expression analysis.

FOYE recognizes that advancing industrial automation does not mean replacing pneumatic technology, but elevating it. By ...

Process engineering expert Krishna Valluru transforms operational chaos into data-driven efficiency by fixing broken workflows and establishing data integrity.

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

With Renishaw and Apex Additive Technologies, Addiguru is working to combine its multi-sensor monitoring platform, integrating optical, near-infrared (NIR), and long-wave infrared (LWIR) sensing, with ...

Tools designed to verify and monitor physical AI systems offer value, but human oversight is needed to prevent accidents and unexpected behavior.

Engineers leverage both device-specific and tool-level data to identify a process “sweet spot.” Tight, frequent tool-to-tool matching enables greater yield and fab flexibility. Machine learning helps ...