On going research projects
Remaking the nanofabrication industry:
Ultra small footprint, micro-nanofabs.
Customizable, AI optimized automation with, green chemistry, low waste and commercial throughput
For photonics, sensors, interposers and packaging, organic electronics and silicon / SiN devices in 2D materials at 300mm wafers scale
Neuromorphic photonic research
and nano fabrication project.
High throughput digital pathology
Differential cell counts using center-point networks achieves human-level accuracy and efficiency over segmentation
Published under our community arm Perth Machine Learning Group:
A new Nature Scientific Reports paper co-authored by Data Science Initiative executive director David Uminsky with Sarada Lee (李文華) GAICD, Andrew Shaw, Jodie Simpson, and Luke Garratt describes a computer vision system that classifies and counts cells for respiratory pathology at human-level accuracy: