~/talk

What Cloud Computing Can Learn from Neuroscience: How the Brain Architects 'Cloud Applications' [I]

Talkat CloudNativeCon + KubeCon Europe 2017 · on Thursday, 2017-03-30· at 15:40· B 09· [machine-learning, distributed-systems]
links:none on file
slides:none on file

Proposal to model the addiction reward circuit as microservices on Kubernetes/OpenStack, mapping pods to ventral tegmental area (VTA), nucleus accumbens and orbital/prefrontal cortices, ingesting 7T fMRI and other modalities and running interchangeable algorithms (random forest, neural nets, Gaussian processes). The claim is a working v0.01: simulate dopaminergic signaling, including measured delays (VTA signal ~0.02s vs prefrontal ~2s), run experiments via a CI/CD simulation pipeline, and scale across containers, bare-metal HPC and registries for reproducible research.

AI-written summary · about

  1. 0:00Intro
  2. 0:38Who am I
  3. 1:59Who are you
  4. 2:22Game
  5. 3:30Infrastructure
  6. 6:05Principles of Intelligence
  7. 8:09Agenda
  8. 9:07Neuroscience Crash Course
  9. 10:41Addiction Circuit
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