Transitioning from ML to Hybrid QML in Neuroimaging - Episode 55

Explore the transition from machine learning to hybrid quantum machine learning in neuroimaging during this hour-long discussion. Delve into recent research on automated machine learning pipelines for Alzheimer's Disease detection and comparative analysis of algorithms for classifying neurodegenerative syndromes. Examine technology readiness levels for machine learning systems and potential hybrid QML incorporations, including quantum computing advancements in qubit-reuse, error mitigation, and quantum memory. Gain insights into Alzheimer's Disease background and access additional resources on neuroimaging applications in quantum technology.

Next Discussion: am PDT “Transitioning from ML to Hybrid QML in Neuroimaging” Thursday 11/3 Episode 55