Towards Edge Computing: A Software and Hardware Co-Design Methodology for Application-Specific Integrated Circuit (ASIC)-based Scientific Neuromorphic Computing (NC)
Description
One project: Current deep neural network (DNN)-based Artificial Intelligence (AI) algorithms have already been successfully applied to particle physics applications. This project will develop a co-design approach for methodologies and their implement
Detailed example
One project: Current deep neural network (DNN)-based Artificial Intelligence (AI) algorithms have already been successfully applied to particle physics applications. This project will develop a co-design approach for methodologies and their implementation of edge computing for optimal handling of data streams
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
One project: Current deep neural network (DNN)-based Artificial Intelligence (AI) algorithms have already been successfully applied to particle physics applications. This project will develop a co-design approach for methodologies and their implementation of edge computing for optimal handling of data streams
Audit / financial statement impact
Does not meet definition
Controls / human review
ATO: Not reported; PIA: Not published