Using PyTorch to streamline machine-learning projects A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective.

In summary AI and ML projects will fail without good data because data is the foundation that enables these technologies to learn. Data strategies and AI and ML strategies are intertwined.

Our machine learning (ML) assessment runs parallel to the AM process in real-time. Our models perform efficiently in the task of classifying individual raster scans as normal or anomalous.