The new IBM Zero Instruction Set Computer (ZISC) provides a radial bas
is function neural network. The first generation chip (ZISC036) allows
for 64 8-bit inputs, 36 RBF neurons in the middle layer, and up to 16
383 possible output categories. Forward processing takes 4 mu s with a
20MHz clock. Cascading multiple chips increases the number of availab
le RBF's with no increase in processing time. The chip also executes a
learning algorithm. We report on tests of the ZISC with a high energy
physics related task.