Thu, Nov 19
What Is Technically Different About Neuromorphic Computing?
Ground brain-inspired hardware in its mechanism before we turn to anticipatory governance.
Topic / Focus
We return to neuromorphic computing to ground it technically, connecting BRAID’s mechanisms to the imaginaries, materiality, thresholds, opacity, baselines, edge AI, and accountability questions raised earlier in the course.
Format: Full class · Lesson template: Concept + Lab
Guiding Questions
- What is technically different about neuromorphic computing compared to conventional hardware?
- How do BRAID’s mechanisms connect to imaginaries, materiality, and thresholds discussed earlier?
- What value propositions follow from this specific mechanism?
In This Class
In this meeting, we will:
- walk through neuromorphic computing and anomaly detection as technical explainers
- connect BRAID Case Study mechanisms to imaginaries, materiality, thresholds, opacity, baselines, edge AI, and accountability
- preview the anticipatory governance exercise in the next meeting