~/talk

Recap and Closing Remarks: Neuropunk revolution and energy consumption

Talkat DSC Europe 24 · 2024-11-18..11-22· [machine-learning]
slides:none on file

Argues that spiking neuromorphic hardware can cut AI energy use by orders of magnitude, demonstrates a hardware model of a rat spinal cord using memristive synapses and two plastic neurons that self-organize an output pattern matching rehabilitative gait after one minute versus 40 weeks biologically, and claims an implantable, microwatt device and robotic controllers are feasible. Timeline for practical systems is 5–7 years based on current prototypes and minimal neuron counts.

AI-written summary · about

  1. 0:00Neuropunk closing intro
  2. 1:51Energy in digital neural nets
  3. 7:13Brain rules for efficiency
  4. 10:52Neuroscience inspiration
  5. 14:48Hardware AI without software
  6. 16:55Spinal cord tech future
  7. 18:00Spinal tech timeline Q&A
  8. 19:25Spiking neural network revolution
  9. 20:08Closing remarks
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