EuroHPC JU Awards Its First Industrial Grade Supercomputer to a Consortia Led by CINECA

At the conclusion of 2021, researchers at UNC Charlotte and Duke University Medical Center published results of work done to use transfer learning methods to generate fluence maps for radiation therapy, aimed at providing medical professionals with more capability and information in fighting adrenal cancers. The technique uses a deep transfer learning model trained on a much larger dataset that can be applied to a smaller data set for a specific application.

• The initial model was trained on pancreas treatment plans, then retuned and applied to a smaller set of data points on adrenal cancers. The output of the model generates a fluence map for specific IMRT beam-based treatments for adrenal cancers.
• According to the researchers, this approach is meant to supplement but not replace human expertise in the field and is reliant on human expertise to finetune and improve the AI model.

Ten leading German corporations recently stood up the Quantum Technology and Applications Consortium (QUTAC) to explore and promote the commercial application of quantum computing (QC) targeted for the German industrial base as a way to ensure German competitive advantage across a broad array of industries. The effort spans industrial sectors and founding members that include automotive manufacturing (Bosch, BMW, and Volkswagen), chemical and pharmaceutical (BASF, Boehringer Ingelheim, and Merck), insurance (Munich Re) and technology (Infineon, SAP, and Siemens). AIRBUS is participating as an external contributor.