The CNN Universal Machine is generalized as the latest step in computational architectures:
a Universal Machine on Flows. Computational complexity and computer complexity issues …

In 1992, a new spatial temporal computing idea had been proposed, the CNN Universal
Machine. It turned out that a new paradigm in computing on image flows, a Universal …

To overcome shortcomings of the currently available optical computer architectures a
programmable opto-electronic CNN array computer (POAC) is introduced. It combines the …

A graphical environment for CNN algorithm development is presented. The new generation
of graphical cards with many general purpose processing units introduces the massively …

Optical correlators provide efficient optical implementation of the CNN computers with high
parallelism. A semi incoherent optical correlator with design considerations is presented …

Abstract− We have designed a two-wavelength correlator as the kernel processor of a
programmable optical analogic/array computer (POAC) to optically implement CNN-UM …

A programmable opto-electronic analogic CNN computer (POAC) provides an efficient frame
for diverse image processing applications, as it combines the enormous inherent …

In the last three years there were distinguished advancements in designing and
implementing our optical setup of Cellular Neural Networks (CNNs), Programmable Optical …

Within the programmable opto-electronic analogic computer (POAC) framework a new, feed
forward only optical CNN-UM implementation has been introduced. It is grounded on an …

A new principle of computing and computers is emerging: the analogic cellular computer. Its
architecture, the Cellular Neural Net (CNN) Universal Machine, is now implemented in …