Many scientists remain doubtful that true AI can ever be developed. The operation of the human mind is still little understood, and computer design may remain essentially incapable of analogously duplicating those unknown, complex processes. Various routes are being used in the effort to reach the goal of true AI. One approach is to apply the concept of parallel processing_interlinked and concurrent computer operations. Another is to create networks of experimental computer chips, called silicon neurons, that mimic data_processing functions of brain cells. Using analog technology, the transistors in these chips emulate nerve_cell membranes in order to operate at the speed of neurons.
In all cases, however, the task that the algorithm is to accomplish must be definable. That is, the definition may involve mathematical or logic terms or a compilation of data or written instructions, but the task itself must be one that can be stated in some way. In terms of ordinary computer usage, this means that algorithms must be programmable, even if the tasks themselves turn out to have no solution. In computational devices with a built_in microcomputer logic, this logic is a form of algorithm. As computers increase in complexity, more and more software_program algorithms are taking the form of what is called hard software.