STDP(Synaptic Time Dependent Plasticity) -- learning requiring no coding…..it evolves and learns through experience.
In Milestone 1, BrainChip demonstrated a software simulation of SNAP (Spiking Neural Adaptive Processor technology) versus a traditional genetic algorithm model illustrated by each seeking to navigate a racetrack. The genetic algorithm model, as used by global technology companies, took 15 minutes to complete one circuit whereas the SNAP car completed one circuit of the track in 25 seconds.
In Milestone 2, SNAP completes the same circuit in just 0.89 seconds, performing 3,571,430 neural update cycles during the 0.89 seconds.
This demonstrates an extremely fast cycle time, and further shows the unparalleled processing power that SNAP can achieve.
Due to the massive parallel processing capabilities of SNAP, it is anticipated that a network of 18,225 neurons will execute 21,578 times faster than a CPU.