Connected Everything: Shared Learning Workshop, 13 February 2019

  On Wednesday 13 February, researchers awarded funding via Connected Everything came together to present and discuss their experiences in a Shared Learning Workshop. The Workshop had three sessions; presentations from the feasibility study teams outlining their projects’ outcomes or progress to date, presentations from the Early Career Researchers who have been on placements and … Continue reading Connected Everything: Shared Learning Workshop, 13 February 2019

Automatic Fault Detection for Selective Laser Melting Using Semi-Supervised Machine Learning

The team behind the “Towards additive manufacturing process control using semi-supervised learning” feasibility study have just released a pre-print of the outcomes of their project. Click on the following link to read the paper "Automatic Fault Detection for Selective Laser Melting Using Semi-Supervised Machine Learning". https://www.preprints.org/manuscript/201809.0346/v1