Resources for Smart Manufacturing

TL;DR: Two current stories about the state of U.S. manufacturing seem to clash. One says “look forward to growth through 2026.” Another reports that …

TL;DR: Deep learning for Quality Inspection helps manufacturers move beyond brittle, hand-coded computer vision, especially when defects and environments are highly variable. This article …

TL;DR Most factories still treat inspection as a simple pass/fail gate at the end of the line, which limits its value to catching bad …

TL;DR: The J-curve in manufacturing describes a normal pattern when new technology hits the shop floor: a short dip in productivity and profitability as …

TL;DR: • Real-time pass/fail and defect categorization belong on the edge – there’s no time budget for the cloud at 1,000–1,500 parts/minute and 40–50 …

TL;DR:The European Union’s Artificial Intelligence Act (EU AI Act, Regulation (EU) 2024/1689) is the world’s first comprehensive, horizontal AI law. It applies even to …

TL;DR: Dust, shadows, glare, reflections and vibrations are real – but solvable – environmental conditions on the shop floor. In production environments we protect …

Or Why AI Is No Longer Optional in Manufacturing In the guest post for AIJournal, “AI in Manufacturing: Competitive Advantage Today, Necessity Tomorrow,” Uli Palli, …

TL;DR: The smart-factory leaders aren’t “buying more tech”; they’re nailing six unglamorous fundamentals: clean, unified data, open platforms, frontline buy-in; strategy before tools, and …