IEEE Organizations related to Molecular Computing

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No organizations are currently tagged "Molecular Computing"



Conferences related to Molecular Computing

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation


ICC 2020 - 2020 IEEE International Conference on Communications

All topics relating to existing and emerging communications networking technologies.


2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)

Cluster Computing, Grid Computing, Edge Computing, Cloud Computing, Parallel Computing, Distributed Computing


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Periodicals related to Molecular Computing

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No periodicals are currently tagged "Molecular Computing"


Most published Xplore authors for Molecular Computing

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Xplore Articles related to Molecular Computing

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Prospects of multiple-valued bio-information processing systems

[1988] Proceedings. The Eighteenth International Symposium on Multiple-Valued Logic, 1988

A model of multiple-valued molecular elements based on enzyme-substrate reactions is proposed as a basis for constructing an information-processing system. An important characteristic of enzymes is their specificity, which is used to provide a pass gate function. Both deterministic and stochastic information processing can be realized. Some applications based on the proposed model are demonstrated.<>


Molecular computing: a research proposal

PICMET '01. Portland International Conference on Management of Engineering and Technology. Proceedings Vol.1: Book of Summaries (IEEE Cat. No.01CH37199), 2001

None


Neuromolecular computing: mechanisms and architectures

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1988

The contrasting capabilities of biological systems and digital computers suggest radically different modes of information processing. The difference is connected to a fundamental tradeoff among programmability, computational efficiency, and evolutionary adaptability. Biological systems operate on the efficiency-adaptability side of this tradeoff. Biomolecular geometry (computing by shape) replaces electronic logic in this domain. The author describes a brain model that accommodates ...


Automatic extraction of node information for chemical molecular structure images

2012 International Symposium on Information Technologies in Medicine and Education, 2012

A chemical molecular image represents the connection relations among atoms, which uses nodes to stand for atoms of compound structure and uses edges to express connection bonds. The extraction of node information is focused on in the paper, and the main works include: (1) dividing nodes into two kinds in terms of node contents: intersection and endpoint; (2) identifying intersections ...


Biomolecular computing and programming

IEEE Transactions on Evolutionary Computation, 1999

Molecular computing is a discipline that aims at harnessing individual molecules at nanoscales for computational purposes. The best-studied molecules for this purpose to date have been DNA and bacteriorhodopsin. Biomolecular computing allows one to realistically entertain, for the first time in history, the possibility of exploiting the massive parallelism at nanoscales inherent in natural phenomena to solve computational problems. The ...


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Educational Resources on Molecular Computing

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IEEE.tv Videos

Molecular Cellular Networks: A Non von Neumann Architecture for Molecular Electronics - Craig Lent: 2016 International Conference on Rebooting Computing
Electric-field Bit Write-in for Molecular Quantum-dot Cellular Automata - Enrique Blair - ICRC 2018
EMBC 2011-Program-Systems in Synthetic Biology (Part I)-Bruce Tidor
Part Two: Interview with John Tisdale—IEEE VIC Summit 2018
Part 1: Interview with John Tisdale—IEEE VIC Summit 2018
Robotics History: Narratives and Networks Oral Histories: Richard Murray
Rebooting Computing: Parallelism in Computing
Rebooting Computing: Changing Computing
EMBC 2011-Keynote Lectures and Panel Discussion-PT I-Subra Suresh
Q&A with Michael Garner: IEEE Rebooting Computing Podcast, Episode 11
DOE Vision and Programmatic Activities in Advanced Computing Technologies: IEEE Rebooting Computing 2017
An Energy-efficient Reconfigurable Nanophotonic Computing Architecture Design: Optical Lookup Table - IEEE Rebooting Computing 2017
Energy Efficient Single Flux Quantum Based Neuromorphic Computing - IEEE Rebooting Computing 2017
A Unified Hardware/Software Co-Design Framework for Neuromorphic Computing Devices and Applications - IEEE Rebooting Computing 2017
Removing The Golden Handcuffs: Computing At The End of Moore's Scaling - IEEE Rebooting Computing Industry Summit 2017
DARPA's Vision for the Future of Computing: IEEE Rebooting Computing 2017
From the Quantum Moore's Law toward Silicon Based Universal Quantum Computing - IEEE Rebooting Computing 2017
On-chip Passive Photonic Reservoir Computing with Integrated Optical Readout - IEEE Rebooting Computing 2017
ICASSP 2010 - Advances in Neural Engineering
IEEE Future Directions: Rebooting Computing

IEEE-USA E-Books

  • Prospects of multiple-valued bio-information processing systems

    A model of multiple-valued molecular elements based on enzyme-substrate reactions is proposed as a basis for constructing an information-processing system. An important characteristic of enzymes is their specificity, which is used to provide a pass gate function. Both deterministic and stochastic information processing can be realized. Some applications based on the proposed model are demonstrated.<>

  • Molecular computing: a research proposal

    None

  • Neuromolecular computing: mechanisms and architectures

    The contrasting capabilities of biological systems and digital computers suggest radically different modes of information processing. The difference is connected to a fundamental tradeoff among programmability, computational efficiency, and evolutionary adaptability. Biological systems operate on the efficiency-adaptability side of this tradeoff. Biomolecular geometry (computing by shape) replaces electronic logic in this domain. The author describes a brain model that accommodates a hierarchy of processes built on top of shape-based molecular computing, including electrochemical processes in single neurons and collective processes in neural networks. The model serves as a computer architecture capable of recruiting molecular mechanisms for novel forms of computing.<>

  • Automatic extraction of node information for chemical molecular structure images

    A chemical molecular image represents the connection relations among atoms, which uses nodes to stand for atoms of compound structure and uses edges to express connection bonds. The extraction of node information is focused on in the paper, and the main works include: (1) dividing nodes into two kinds in terms of node contents: intersection and endpoint; (2) identifying intersections through computing the deviation of pixels, which are lager deviation of others; and (3) extracting atomic contents of nodes after identifying nodes and merging them. Through implementing experiments for BMP images of chemical molecular structure, it shows that the accuracy of extracting atomic information of nodes by the method proposed is very high. The work lays foundations for automatic extraction information for chemical molecular structure images, and for chemical molecular structure images-based retrieval.

  • Biomolecular computing and programming

    Molecular computing is a discipline that aims at harnessing individual molecules at nanoscales for computational purposes. The best-studied molecules for this purpose to date have been DNA and bacteriorhodopsin. Biomolecular computing allows one to realistically entertain, for the first time in history, the possibility of exploiting the massive parallelism at nanoscales inherent in natural phenomena to solve computational problems. The implementation of evolutionary algorithms in biomolecules would bring full circle the biological analogy and present an attractive alternative to meet large demands for computational power. The paper presents a review of the most important advances in biomolecular computing in the last few years. Major achievements to date are outlined, both experimental and theoretical, and major potential advances and challenges for practitioners in the foreseeable future are identified. A list of sources and major events in the field has been compiled in the Appendix, although no exhaustive survey of the expanding literature is intended.

  • A molecular computing in development process

    Nonprogrammable molecular computing is observed in two distinct classes of biological processes, evolutionary and developmental. Evolutionary molecular computing generates information at the rate of approximately 3*10/sup -15/ b/s/degree of freedom. In contrast, developmental molecular computing generates information at the rate of approximately 10/sup 2/ b/s/degree of freedom. A unit of the developmental degree of freedom is an aggregate of those evolutionary degrees of freedom whose number is roughly of the order of 10/sup 16/.<>

  • On Ladders' complexity mechanism and quantitative regulation of scalable molecular computers by Rho family GTPases

    We propose a new bio-molecular computing method based on Rho family GTPases, and report that the Ladders' complexity increasing phenomenon is observed when molecular computing by Rho family GTPases is applied to solve large-scale 3-SAT problems. We also present the optimal condition for the regulation scheme as Pg=h Pl/Ql where Pg is the probability of global communication among the sub-pathways, Pl is the probability of local communication in the sub- pathways within the domain of the neighborhood, and h is the experimental coefficient dependent on the temperature, kinase activity and sorts of cells.

  • The Development of Computational Technology and Its Use in Finance

    From the constitution of computation, the main subjects of computer science and technology have been summarized. Meanwhile, the reasons why the developments of software technologies have pushed the computational science be widely used were analyzed. Multiple computing models were discussed base on different computer architectures. Finally, computation as a methodology, two important finance problems, effective financial supervision and high-speed financial product pricing, were solved by distributed and parallel computing.

  • Implementation of reaction-diffusion cellular automata

    Proposes an experimental model of artificial reaction-diffusion systems, which provides a foundation for constructing future massively parallel molecular computers. The key idea is to control redox-active molecules in solution by an array of integrated microelectrodes and to realize artificially programmable reaction-diffusion dynamics in a very small amount of solution.

  • DNA Computing to Solve Vertex Coloring Problem

    DNA computing or well known as molecular computing is computing technique using DNA molecule to store information and using biochemistry operation as computational tool to manipulate string in DNA strand to produce the result. Lipton point out massive parallelism and storage capacity make this convenient to solve combinatorial problems. In this paper we proposed DNA based computer to solve vertex coloring problem where in this paper we proposed DNA encoding and computational procedure inspired by greedy algorithm to generate all possible solutions to coloring a graph.



Standards related to Molecular Computing

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No standards are currently tagged "Molecular Computing"


Jobs related to Molecular Computing

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