NVIDIA Announces NVLink Fusion to Support Semi-custom AI Infrastructure

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.

The U.S. Senate passed the United States Innovation and Competition Act (USICA) on June 8th, a major step forward in providing support and financial investment in furthering the United States' competitive capabilities in technology, including semiconductor capabilities. The USICA is bipartisan legislation intended to give federal funding to key science and technology areas, including STEM research, technology transfer, semiconductor research and manufacturing, as well as NASA research activities. The bill also seeks to establish a framework for agencies including the NSF and DOE to collaborate in these areas, to help ensure U.S. leadership in science and technology.