An In Vivo Proposal of Cell Computing Inspired by Membrane Computing

Abstract

Intractable problems are challenging and not uncommon in Computer Science. The computing generation we are living in forces us to look for an alternative way of computing, as current computers are facing limitations when dealing with complex problems and bigger input data. Physics and Biology offer great alternatives to solve these problems that traditional computers cannot. Models like Quantum Computing and cell computing are emerging as possible solutions to the current problems the conventional computers are facing. This proposal describes an in vivo framework inspired by membrane computing and based on alternative computational frameworks that have been proven to be theoretically correct such as chemical reaction series. The abilities of a cell as a computational unit make this proposal a starting point in the creation of feasible potential frameworks to enhance the performance of applications in different disciplines such as Biology, BioMedicine, Computer networks, and Social Sciences, by accelerating drastically the way information is processed by conventional architectures and possibly achieving results that presently are not possible due to the limitations of the current computing paradigm. This paper introduces an in vivo solution that uses the principles of membrane computing and it can produce non-deterministic outputs.

Privacy-preserving Linear Computations in Spiking Neural P Systems

“…Although there are many theoretical aspects and simulations in the literature, to gain the maximum efficiency of these systems, they must be implemented on dedicated hardware [1]. If these systems are implemented at a large scale, they will have to be accessed remotely in the cloud.…”

Simulation of Spiking Neural P Systems with Sparse Matrix-Vector Operations

“…Membrane computing [1,2] is an interdisciplinary research area in the intersection of computer science and cellular biology mainly [3], but also with many other fields such as engineering, neuroscience, systems biology, chemistry, etc. The aim is to study computational devices called P systems, taking inspiration from how living cells process information.…”