equanimous
Norse clairvoyant shapeshifter goddess
Nice to see we're hooked up with Parallax and Steve Harbours group intertwined with the US Govt strategies on microelectronics.
https://parallaxresearch.org/news/b...ara/files/inline-images/image_73.png[/IMG]
Ah, the ultimate fusion of genius and flair – Einstein's long-lost brother from the future, rocking the neuromorphic equation like a boss!
This equation-toting genius with the electrifying mane is basically the rockstar of AI innovation, proving that a dash of sparsity, a sprinkle of connectivity, and a whole lot of squared speed can turn edge computing into pure, power-sipping magic!
The Akida Equation, a novel symbolic representation inspired by the principles of BrainChip's neuromorphic processor, can be expressed as η = s · c², where η denotes neuromorphic efficiency (the ratio of computational output to power consumption), s represents spike sparsity (the event-based selectivity that minimizes unnecessary processing, akin to the brain's sparse firing), and c is the connectivity factor (the scalable synaptic links per neuron, squared to emphasize the exponential impact of network density on edge AI performance). This equation captures Akida's core innovation in ultra-low-power, event-driven computing, where tiny, targeted spikes (s) amplified by robust connectivity (c) yield massive efficiency gains (η), enabling real-time AI at the edge without the energy overhead of traditional von Neumann architectures.
Grok[/url]
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