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Synthetic Biology, Artificial Intelligence, and Quantum Computing
[chapter]
2019
Genetic Engineering Technology and Synthetic Biology [Working Title]
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We envisage a world where genetic engineering, artificial intelligence (AI), and quantum computing (QC) will coalesce to bring about a forced speciation of the Homo sapiens. ...
The day is perhaps not far off when Homo sapiens itself will initiate its own speciation once it advances synthetic biology to a level where it can safely modify the brain to temper emotion and enhance ...
Synthetic Biology, Artificial Intelligence, and Quantum Computing DOI: http://dx.doi.org/10.5772/intechopen.83434
Synthetic Biology, Artificial Intelligence, and Quantum Computing DOI: http://dx.doi.org ...
doi:10.5772/intechopen.83434
fatcat:5kgm2k2qe5amrnggyzjk4qlmi4
Synthetic Biology and Artificial Intelligence: Grounding a Cross-Disciplinary Approach to the Synthetic Exploration of (Embodied) Cognition
2018
Complex Systems
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Recent scientific developments-the emergence in the 1990s of a "bodycentered" artificial intelligence (AI) and the birth in the 2000s of synthetic biology (SB)-allow and require the constitution of a new ...
and to the full realization of the "embodiment turn" in contemporary AI. ...
This work has been stimulated by our involvement in the European COST Action CM-1304 "Emergence and Evolution of Complex Chemical Systems" and TD-1308 "Origins and evolution of life on Earth and in the ...
doi:10.25088/complexsystems.27.3.199
fatcat:m5fgx3cannbtlaaxq7ukiku3ci
Biomedical Signal Processing, Artificial Neural Network: A Review
2016
Indian Journal of Science and Technology
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Neural networks are used in lot of areas of industry like finance, engineering, biology. Here describes the ANN and its importance. ...
This paper shows some basic features and processing techniques for biomedical signals and also contains the brief description of neural networks. ...
The characteristic of artificial neural networks are very similar to an intelligent system and other artificial intelligence based applications 6 . ...
doi:10.17485/ijst/2015/v8i1/106889
fatcat:j7egzng2bjefnkrihleg5ou7wq
Parallel clustering algorithms
1989
Parallel Computing
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Therefore, the parallelization of clustering algorithms is inevitable, and various parallel clustering algorithms have been implemented and applied to many applications. ...
Therefore, the applications of parallel clustering algorithms and the clustering algorithms for parallel computations are described in this paper. ...
For example, as in the engineering field including machine learning, artificial intelligence, pattern recognition, mechanical engineering and electrical engineering; computer science researches of web ...
doi:10.1016/0167-8191(89)90036-7
fatcat:uly53om5cjgzvcfdft5mkikafe
A Review on Community Detection in Large Complex Networks from Conventional to Deep Learning Methods: A Call for the Use of Parallel Meta-Heuristic Algorithms
2021
IEEE Access
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SYNTHETIC DATASETS Synthetic dataset is artificially produced rather than collected from real events. ...
Deep learning (hereinafter referred to as DL) has become one of the most active research areas in artificial intelligence and machine learning. ...
doi:10.1109/access.2021.3095335
fatcat:4zggvxofqvbcjbwylk7swc3c34
Proposed Collective ICOM-based post-scarcity/post-capital networked communities
2021
Procedia Computer Science
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operate as a unique intuitive human-analogous Collective Artificial General Intelligence (cAGI), designed to share continuous multiple human interactions as a controlled testbed for shared collaborative ...
operate as a unique intuitive human-analogous Collective Artificial General Intelligence (cAGI), designed to share continuous multiple human interactions as a controlled testbed for shared collaborative ...
Funding and Investing Note that the trends above could potentially be addressed through funding of scientific research and investing in technology: • Advances in synthetic biology, synthetic genomics and ...
doi:10.1016/j.procs.2021.06.019
fatcat:rqrhgb44hbdxthkm64zp2xwxci
Towards Programming Adaptive Linear Neural Networks Through Chemical Reaction Networks
[article]
2022
arXiv
pre-print
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2022 pre-print arXiv:2204.03168v1 fatcat:svs2d2uv2fbixkukwqv65tutlq
The results will have potential implications for the developments of synthetic biology, molecular computer and artificial intelligence. ...
This paper is concerned with programming adaptive linear neural networks (ALNNs) using chemical reaction networks (CRNs) equipped with mass-action kinetics. ...
programming paradigms. (3) Artificial intelligence (AI). ...
arXiv:2204.03168v2
fatcat:py2npcim7rgwhae225vtt3dcc4
Macromolecular networks and intelligence in microorganisms
2014
Frontiers in Microbiology
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biomolecular networks may enable synthetic biologists to create intelligent molecular networks for biotechnology, possibly generating new forms of intelligence, first in silico and then in vivo. ...
Here, we explore how macromolecular networks in microbes confer intelligent characteristics, such as memory, anticipation, adaptation and reflection and we review current understanding of how network organization ...
Many of these aspects may be useful for synthetic biology; a synthetic biology that will give rise to much more sustainable, productive systems.
ACKNOWLEDGMENTS Hans V. ...
doi:10.3389/fmicb.2014.00379
pmid:25101076
pmcid:PMC4106424
fatcat:mm5xevb23jexrawtydiz5litdu
The Age of Analog Networks
2008
The AI Magazine
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Some examples of analog networks are genetic regulatory networks, metabolic networks, neural networks, analog electronic circuits, and control systems. ...
In this paper we will discuss the general relevance of the analog network concept and describe an evolutionary approach to the automatic synthesis and the reverse engineering of analog networks. ...
Acknowledgments Many thanks to Simon Harding for reading and commenting on the manuscript. This work was supported by the Swiss National Science Foundation, grant no. 200021-112060. ...
doi:10.1609/aimag.v29i3.2156
fatcat:nf3oitjnh5f55o56pobithegqq
The dying dreamer: architecture of parallel realities
2003
Technoetic Arts
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The investigation leads into elaborate experiments in physical space, employing and developing artificiality and virtuality, as the creative mind pursues the desire for parallel realities. ...
The second article, "The Operative Fields of the Artificial", focuses on the negotiation of artificiality through the layers of fiction in des Esseintes´ projects and the transitional character of his ...
Katja Grillner for generously supporting this work with ideas and criticism, and for being such a brilliant source of both knowledge and energy. ...
doi:10.1386/tear.1.1.61/0
fatcat:xugesaswbndnppnyd6m332d3ne
Artificial Gene Regulatory Networks—A Review
2019
Artificial Life
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In Engineering, modeling and implementations of artificial gene regulatory 1 networks has been an expanding field of research and development over the past few decades. ...
This review discusses the concept of gene regulation, the current state-of-the-art in gene regulatory networks, including modeling and simulation, and reviews their use in artificial evolutionary settings ...
more intelligent behaviors for artificial agents in the near future. ...
doi:10.1162/artl_a_00267
fatcat:kmshnduj7bap5nezctik63uvae
A Unifying Mathematical Framework for Genetic Robustness, Environmental Robustness, Network Robustness and their Trade-offs on Phenotype Robustness in Biological Networks. Part III: Synthetic Gene Networks in Synthetic Biology
2013
Evolutionary Bioinformatics
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This paper presents a unifying mathematical framework for investigating the principles of both robust stabilization and environmental disturbance attenuation for synthetic gene networks in synthetic biology ...
Therefore, the trade-offs between intrinsic robustness, genetic robustness, environmental robustness, and network robustness in synthetic biology can also be investigated through corresponding phenotype ...
and artificial systems. ...
doi:10.4137/ebo.s10686
pmid:23515190
pmcid:PMC3596975
fatcat:ynwf3dstgzh4vnj3mo5h6fx25i
SCNN: Swarm Characteristic Neural Network
[article]
2021
arXiv
pre-print
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In this paper, we propose and verify the effectiveness and efficiency of SCNN, an innovative neural network inspired by the swarm concept. ...
There is a weighted connection between nodes in a neural network. Instead of biology signals as weights for connection, the artificial neural network uses a numerical value. ...
BACKGROUND
SWARM INTELLIGENCE Swarm intelligence is a field of artificial intelligence that is motivated by the conduct of some social living creatures, for example, ants, termites, birds, and fish. ...
arXiv:2103.15550v1
fatcat:wdqapff7zfgzvdguzt3uvqjlyi
Evolutionary algorithms in genetic regulatory networks model
[article]
2012
arXiv
pre-print
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Genetic Regulatory Networks (GRNs) plays a vital role in the understanding of complex biological processes. ...
In this paper we have reviewed various evolutionary algorithms-based approach for modeling GRNs and discussed various opportunities and challenges. ...
The proposed model was tested on five synthetic networks and results were compared with dynamic Bayesian network model and found that sensitivity is approximately 5% higher and precision was approximately ...
arXiv:1205.1986v1
fatcat:sndsoua6cfbftpru4iv5jkxm6q
Fundamentals of Neural Networks
2021
International Journal for Research in Applied Science and Engineering Technology
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Artificial Neural Networks (ANNs) are algorithm-based systems that are modelled after Biological Neural Networks (BNNs). ...
We study neural networks (NNs) and highlight the different learning approaches and algorithms used in Machine Learning and Deep Learning. ...
NEURAL NETWORKS AND ARTIFICIAL INTELLIGENCE In certain quarters, neural networks are synonymous with artificial intelligence. ...
doi:10.22214/ijraset.2021.37362
fatcat:2ebyvnxsj5djbewbd4ii4ubl4y
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