Read only memory architecture for analog matrix operations

A hybrid memory computing unit utilized in matrix operations of a neural network, comprising:

• a first layer including random access memory (RAM) including a RAM compute unit, wherein the RAM compute unit is configured to store reprogrammable task parameters;
• a second layer including a read only memory (ROM) that includes a unit element including one or more connections, wherein a weight associated with a ROM computing unit is responsive to either a connection or lack of connection internal to the unit cell or between the unit element and a wordline and a bitline utilized to form an array of rows and columns in the ROM computing unit, wherein the weight associated with the ROM computing unit is one-time programmable via a contact or connection;
• and
• one or more passive or active electrical elements located in the unit element, wherein the passive or active electrical elements are configured to adjust the weight associated with the ROM compute unit, wherein the ROM computing unit is configured to receive an input and output a value associated with the matrix operation, wherein the value is responsive to the input and weight.