Amkor says it uses machine learning to improve detection of hard-to-spot defects

States on its own smart manufacturing page that it applies machine learning techniques to improve the detection of defects that are hard for people to tell apart. Quantitative figures: 0; measuring party: not stated; mass production vs. pilot: not distinguished

Why it matters

The No. 2 OSAT discloses at the same level. Back-end AI does not lack applications; it lacks quantitative disclosure, and this gap is the real reason internal adoption is hard to justify

Source — Primary sources first; secondary reports are labelled “Press”

Officialamkor.comhttps://amkor.com/smart-manufacturing/

Added in Week 35, 2026 · See that week

Nearby on the same axis

Replayable Financial AgentsPaperHyundai plans to produce 30,000 Atlas robots a year (2028, Georgia)PressSiemens unveils Industrial AI OS and 9 industrial copilots at CES 2026OfficialWEF names 23 new Global Lighthouse Network sitesOfficial