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Interplay Between Vertical and Horizontal Schemes of Computation: From Bayesian Inference to Quantum Logic via Gluing Boolean Algebras

Yukio-Pegio Gunji, Kyoko Nakamura, Kazuto Sasai, Iori Tani et al. • Entropy (2026)

Artificial intelligence is typically formulated as an information-processing system composed of artificial neurons, where computation is understood as recursive operations connecting inputs and outputs. However, real neural systems are mate...

DOAJ Open Access (DOAJ) DOI: 10.3390/e28050498

Trends in Quantum Computing Research

Kelly Shannon • Nova Science Publishers eBooks (2006)

Preface Monodromic Quantum Computing Quantum Games and Programmable Quantum Systems The Fraunhofer Quantum Computing Simulator NMR and the Problem of Quantum Computer Creation: New Outlook Trade-off in Quantum Amplitude Amplification Techni...

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Multiparty Delegated Quantum Computing

Elham Kashefi, Anna Pappa • Cryptography (2017)

Quantum computing has seen tremendous progress in the past few years. However, due to limitations in the scalability of quantum technologies, it seems that we are far from constructing universal quantum computers for everyday users. A more ...

OPENALEX cc-by DOI: https://doi.org/10.3390/cryptography1020012

Development of a protocol for a closed mobile internet channel based on post-quantum algorithms

С.П. Євсєєв, С.С. Погасій, В.С. Хвостенко • Системи обробки інформації (2021)

The development of computing technologies has made it possible not only to expand the range of mobile communication services, but also to significantly increase computing capabilities. The emergence of mobile Internet, 4G, 5G technologies m...

DOAJ Open Access (DOAJ) DOI: 10.30748/soi.2021.166.03

Non-supersymmetric AdS from string theory

Zihni Kaan Baykara, Daniel Robbins, Savdeep Sethi • SciPost Physics (2023)

We construct non-supersymmetric $AdS_3$ solutions of the $\mathrm O(16)× \mathrm O(16)$ heterotic string. Most of the backgrounds have a classical worldsheet definition but are quantum string vacua in the sense that string loop corrections ...

DOAJ Open Access (DOAJ) DOI: 10.21468/SciPostPhys.15.6.224

Quantum computing with neutral atoms

Mark E. Saffman • National Science Review (2018)

The power of quantum computation derives from algorithmic methods that exploit the availability of quantum superposition and entanglement to perform computations that are intractable with classical devices. The race is on to develop hardwar...

OPENALEX cc-by DOI: https://doi.org/10.1093/nsr/nwy088 PMC: 8291449

Quantum computing: pro and con

John P. Preskill • Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (1998)

I assess the potential of quantum computation. Broad and important applications must be found to justify construction of a quantum computer; I review some of the known quantum algorithms and consider the prospects for finding new ones. Quan...

OPENALEX Open Access DOI: https://doi.org/10.1098/rspa.1998.0171

Distributed System Development in B

Michael J. Butler, Marina Waldén • ePrints Soton (University of Southampton) (1996)

The B-Method is a method for the stepwise derivation of sequential programs. In this paper we show how the B-Method can be used for designing distributed systems by embedding action systems within this method. The action system formalism is...

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Configuring distributed systems

Jeff Kramer, Jeff Magee, Morris S. Sloman • ACM SIGOPS European Workshop (1992)

Distributed systems are constructed from a set of computational components which are bound together to interact and communicate to achieve some over all objective. In this paper, we examine the issues related to system configuration, partic...

OPENALEX DOI: https://doi.org/10.1145/506378.506406

Review of Generative AI methods in cybersecurity

Yagmur Yigit, William Johnston Buchanan, Madjid Tehrani, Leandros A. Maglaras • Internet of Things and Cyber-Physical Systems (2025)

Over the last decade, Artificial Intelligence (AI) has become increasingly popular, especially with the use of chatbots such as ChatGPT, Google’s Gemini, and DALL-E. With this rise, large language models (LLMs) and Generative AI (GenAI) hav...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.iotcps.2026.04.001

A systemic framework for addressing cybersecurity in construction

Žiga Turk, Borja García de Soto, Bharadwaj R. K. Mantha, Abel Maciel et al. • Automation in Construction (2021)

Today, the built environment is designed, built, and managed using digital technology, making it increasingly exposed to cyber security risks. Cybersecurity is a general topic, and the construction sector has been borrowing general solution...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.autcon.2021.103988

A survey of graphs in natural language processing

Vivi Năstase, Rada F. Mihalcea, Dragomir Radev • Natural Language Engineering (2015)

Abstract Graphs are a powerful representation formalism that can be applied to a variety of aspects related to language processing. We provide an overview of how Natural Language Processing problems have been projected into the graph framew...

OPENALEX Open Access DOI: https://doi.org/10.1017/s1351324915000340

Progress in neural networks

Omid M. Omidvar • Ablex Pub. Corp. eBooks (1991)

Receptive field calculus, Jan J. Koenderink visual reconstruction and data fusion, D. Suter visual perception of translational and rotational motion, Jim-Shih Liaw, Irwin K. King and Michael A. Arbib neural network for recovering observer m...

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Prediction Intervals for Artificial Neural Networks

J. T. Gene Hwang, Aidong Adam Ding • Journal of the American Statistical Association (1997)

The artificial neural network (ANN) is becoming a very popular model for engineering and scientific applications. Inspired by brain architecture, artificial neural networks represent a class of nonlinear models capable of learning from data...

OPENALEX DOI: https://doi.org/10.1080/01621459.1997.10474027