Fullmoonfever
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Not my DD but FF's.
Robust Iterative Value Conversion: Deep Reinforcement Learning for Neurochip-driven Edge Robots
A neurochip is a device that reproduces the signal processing mechanisms of brain neurons and calculates Spiking Neural Networks (SNNs) with low power consumption and at high speed. Thus, neurochips are attracting attention from edge robot applications, which suffer from limited battery capacity
We verified RIVC's effectiveness on a neurochip-driven robot. The results showed that RIVC consumed 1/15 times less power and increased the calculation speed by five times more than an edge CPU (quad-core ARM Cortex-A72)
RICV:
5.1.1. Entire Experiment Settings
This section describes the construction of the proposed framework shown in
Fig. 2. We utilized a desktop PC equipped with a GPU (Nvidia RTX3090) for
updating the policies and an Akida Neural Processor SoC as a neurochip [9, 12].
The robot was controlled by the policies implemented in the neurochip. SNNs
were implemented to the neurochip by a conversion executed by the MetaTF
of Akida that converts the software [9, 12].
Or was it.....
I gotta protect my billable (wish) DD IP hours... I'll happily take any effective SP rise as payment though
Thankfully through our collective DD efforts info is generally found on this site first most of the time.
BRN Discussion Ongoing
As much as Peter and others within the Brainchip executive like and admire Mike Davies I think our technology is far superior, our Brains department haven't stalled, we've continued to "accelerate" and to be perfectly honest I wouldn't entertain a takeover offer from Intel..I'll stick with...
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