RP3
Development of multiscale/cross-modal patient/deep-learning models of AD in the hybrid quantum-classical computing environments
RP3 aims to create a proof-of-concept for an integrated multiscale knowledge platform that allows exploration across various spatial and temporal levels of brain organization. It will provide a means for organizing and visualizing multiscale data spanning from molecules to emergent behavior, as well as projecting and simulating hierarchical domains of brain system function and temporal sequencing. RP3 will utilize hybrid quantum-classical computational infrastructure and apply multiscale, cross-modal deep learning models to produce interface parameterization and coupling rules linking different hierarchical systems and information domains.
The search results do not provide specific information about team members, recent findings, relevant papers, or recent news from RP3. As this appears to be a proposed research program within the CLARA project, it is likely that these details have not yet been established or made public. The program seems to be in its planning stages as part of a larger Center of Excellence proposal.
Description:
RP3 aims to create a proof-of-concept for an integrated multiscale knowledge platform that allows exploration across various spatial and temporal levels of brain organization. It will provide a means for organizing and visualizing multiscale data spanning from molecules to emergent behavior, as well as projecting and simulating hierarchical domains of brain system function and temporal sequencing. RP3 will utilize hybrid quantum-classical computational infrastructure and apply multiscale, cross-modal deep learning models to produce interface parameterization and coupling rules linking different hierarchical systems and information domains
Team members:
Jean Marie Bouteiller, Ph.D.
Ara S. Khachaturian, Ph.D.
INDRC Scientific Advisory Board Chair