Resources for Smart Manufacturing

TL;DR:A confusion matrix for visual inspection is a simple table that compares an artificial intelligence (AI) model’s inspection decisions to the ground truth, showing …

A while ago we wrote a blog about how classic AI e.g. machine Learning (ML) is ready for prime time on the shopfloor while …

TL;DR:Synthetic data in manufacturing refers to artificially generated data, such as images or sensor signals, that is designed to resemble real production data and …

TL;DR:AI is reshaping manufacturing by attacking long-standing pain points like slow, error-prone manual quality control and costly unplanned downtime. In visual inspection, machine learning …

TL;DR:The blog discusses the clear line between headline-grabbing generative AI and “mature AI” i.e., classic machine learning (ML) and deep learning (DL) models that …

TL;DR:The hardest part of implementing AI in manufacturing is often not the model itself, but the surrounding technology landscape. Four key technology challenges of …

TL;DR:When manufacturers implement AI, the hardest work often is not developing models or collecting data but AI change management. Four recurring challenges show up: …

TL;DR:Four data challenges that often slow down AI implementation in manufacturing: knowing which data to collect in the first place, not having (or not …

We recently gave a presentation about AI in Manufacturing to an audience at Cyberlago, a German organization in the Lake Constance region that promotes …