Neuromorphia
fact collector
@bludybludblud
this one mentions PLEIADES...?
https://worldwide.espacenet.com/patent/search/family/096095874/publication/US2025209313A1?q=PLEIADES brainchip
US2025209313A1 METHOD AND SYSTEM FOR IMPLEMENTING ENCODER PROJECTION IN NEURAL NETWORKS
[0009] For generating content, the neurons of NN models, such as polynomial expansion in adaptive distributed event-based systems (PLEAIDES) models, perform a temporal convolution operation on input signals with the temporal kernels. In some aspects, the temporal kernels are represented as an expansion over a basis function with kernel coefficients Gi . In some aspects, the kernel coefficients are trainable parameters of the neural network during learning. In some aspects, the kernel coefficients remain constant while generating content using convolutions during inference. Even though the recurrent mode of PLEIADES decomposes the convolution with a kernel onto a set of basis functions, the contribution from each may not be used individually, but summed together to provide a scalar value of the convolution. Such a scalar value has more limited power in generating signals than if a contribution, coefficient, from each basis could be used.
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