Hybrid Compute-in-Memory: abstract simplified (17695824)

A compute-in-memory array is described in the abstract. This array is designed to implement a filter for a specific layer in a neural network. The purpose of this filter is to process data by multiplying a set of activation bits with a set of filter weight bits. This multiplication process is performed for each channel within a group of channels. The resulting products are then accumulated through a charge accumulation process using multiple capacitors. Finally, the accumulated charge is digitized to produce the output of the filter.