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=== Boolean functions ===
Like CA, computations can be performed through the generation and propagation of signals that either grow or change over time. [[Computation]]s can occur within a signal or can occur through the interaction between signals. One type of processing, which uses signals and is gaining momentum is [[Signal processing|wave processing]], which involves the generation, expanding, and eventual collision of waves. Wave processing can be used to measure distances and find optimal paths. Computations can also occur through particles, gliders, solutions, and filterons localized structures that maintain their shape and velocity.{{clarify|date=August 2023|what are these things? what is a filteron?}} Given how these structures interact/collide with each other and with static signals, they can be used to store information as states and implement different [[Boolean functions]]. Computations can also occur between complex, potentially growing or evolving localized behavior through worms, ladders, and pixel-snakes. In addition to storing states and performing [[Boolean function]]s, these structures can interact, create, and destroy static structures.<ref name=":1">{{Cite book|last1=Chen|first1=F.|last2=He|first2=G.|last3=Xu|first3=X.|last4=Chen|first4=G.|title=2006 10th International Workshop on Cellular Neural Networks and Their Applications |chapter=Implementation of Arbitrary Boolean Functions via CNN |date=August 2006
The applications of CNNs to Boolean functions is discussed in the paper by Fangyue Chen, Guolong He, Xiubin Xu, and [[Chen Guanrong|Guanrong Chen]], "Implementation of Arbitrary Boolean Functions via CNN".<ref name=":1" />
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Another company, AnaLogic Computers was founded in 2000 by many of the same researchers behind the first algorithmically programmable CNN Universal Processor. In 2003, AnaLogic Computers developed a PCI-X visual processor board that included the ACE 4K processor,<ref>{{Cite web|title=StackPath|url=https://www.vision-systems.com/home/article/16738443/cellular-device-processes-at-ultrafast-speeds|access-date=2020-12-27|website=www.vision-systems.com|date=February 2003 }}</ref> with a [[Texas Instruments|Texas Instrument]] DIP module and a high-speed frame-grabber. This allowed CNN processing to be easily included in a desktop computer. In 2006, AnaLogic Computers developed their Bi-I Ultra High Speed Smart Camera product line, which includes the ACE 4K processor in their high-end models.<ref>A. Rodríguez-Vázquez, G. Liñán-Cembrano, L. Carranza, E. Roca-Moreno, R. Carmona-Galán, F. Jiménez-Garrido, R. Domínguez-Castro, and S. Meana, "ACE16k: The Third Generation of Mixed-Signal SIMD-CNN ACE Chips Toward VSoCs," IEEE Trans. on Circuits and Systems - I, 51(5): 851-863, 2004.</ref>
In 2006, Roska et al. published a paper on designing a Bionic Eyeglass for AnaLogic. The Bionic Eyeglass is a dual-camera, wearable platform, based on the Bi-I Ultra High Speed Smart Camera, designed to provide assistance to blind people. Some of its functions include route number recognition and color processing.<ref>{{Cite book|last1=Roska|first1=T.|last2=Balya|first2=D.|last3=Lazar|first3=A.|last4=Karacs|first4=K.|last5=Wagner|first5=R.|last6=Szuhaj|first6=M.|title=2006 IEEE International Symposium on Circuits and Systems |chapter=System aspects of a bionic eyeglass |date=May 2006
=== Analog CNN processors ===
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