  A set of highly-optimized custom macro extensions is developed for a 7nm CMOS
cell library for implementing Temporal Neural Networks (TNNs) that can mimic
brain-like sensory processing with extreme energy efficiency. A TNN prototype
(13,750 neurons and 315,000 synapses) for MNIST requires only 1.56mm2 die area
and consumes only 1.69mW.
