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An interpretable machine learning framework for real-time copper cathode quality prediction in industrial bioleaching–solvent extraction–electrowinning operations

Scientific Reports, Published online: 21 September 2026; doi:10.1038/s41598-026-71923-2 An interpretable machine learning framework for real-time copper cathode quality prediction in industrial bioleaching–solvent extraction–electrowinning operations

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The AI Interview Paradox: Decoupling Skill Assessment from Tool Usage

Originally published on tamiz.pro . The modern engineering interview pipeline is suffering from a critical integrity failure.

  • AI usage common in engineering interviews, contradicting hiring practices.
  • Traditional interviews test memorization, not modern engineering skills.
  • Proposed three-tiered assessment evaluates tool integration, architecture, and verification.

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