Results 71 to 80 of about 90,486 (306)

Integrated Ovonic Threshold Switching Selector and Resistive Switching Memory 1S1R in Electrodeposited ZnTe Thin Films

open access: yesAdvanced Materials Technologies, EarlyView.
This study showcases the first‐ever demonstration of ovonic threshold switching (OTS) and resistive switching (RS) in ZnTe thin films fabricated via a fast, cost‐effective electrodeposition method. By controlling the deposition potential, ZnTe film is tuned to demonstrate OTS or RS behaviors, enabling the implementation of one‐selector‐one‐resistor ...
Ayoub H. Jaafar   +8 more
wiley   +1 more source

Probabilistic computing using Cu0.1Te0.9/HfO2/Pt diffusive memristors

open access: yesNature Communications, 2022
Designing a computing scheme to solve complex tasks as the big data field proliferates remains a challenge. Here, the authors present a probabilistic bit generation hardware built using the random nature of Cu x Te1−x /HfO2/Pt memristors capable of ...
Kyung Seok Woo   +5 more
doaj   +1 more source

Logics with probabilistic team semantics and the Boolean negation [PDF]

open access: yesarXiv, 2023
We study the expressivity and the complexity of various logics in probabilistic team semantics with the Boolean negation. In particular, we study the extension of probabilistic independence logic with the Boolean negation, and a recently introduced logic FOPT.
arxiv  

Probabilistic logic of quantum observations [PDF]

open access: yesLogic Journal of the IGPL, 2018
A probabilistic propositional logic, endowed with an epistemic component for asserting (non-)compatibility of diagonizable and bounded observables, is presented and illustrated for reasoning about the random results of projective measurements made on a given quantum state.
Luís Alcácer   +4 more
openaire   +3 more sources

Chemical AI in the Limelight: The Contribution of Photochromic Materials and Oscillatory Chemical Reactions

open access: yesAdvanced Optical Materials, EarlyView.
Photochromic compounds are versatile ingredients for the development of Chemical AI. When they are embedded in a tight microenvironment, they become Markov blankets. They are also valuable for processing Boolean and Fuzzy logic. They contribute to neuromorphic engineering in wetware based on opto‐chemical signals exchanged with oscillatory chemical ...
Pier Luigi Gentili
wiley   +1 more source

Adapting Logic to Physics: The Quantum-Like Eigenlogic Program

open access: yesEntropy, 2020
Considering links between logic and physics is important because of the fast development of quantum information technologies in our everyday life. This paper discusses a new method in logic inspired from quantum theory using operators, named Eigenlogic ...
Zeno Toffano, François Dubois
doaj   +1 more source

Probabilistic regular graphs [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2010
Deterministic graph grammars generate regular graphs, that form a structural extension of configuration graphs of pushdown systems. In this paper, we study a probabilistic extension of regular graphs obtained by labelling the terminal arcs of the graph ...
Christophe Morvan, Nathalie Bertrand
doaj   +1 more source

Novel Solution‐Processed Fe2O3/WS2 Hybrid Nanocomposite Dynamic Memristor for Advanced Power Efficiency in Neuromorphic Computing

open access: yesAdvanced Science, EarlyView.
Solution‐processed approach for integration of Fe2O3/WS2 nano‐hybrid composite memristor devices. Remarkable switching characteristics and excellent durability for up to 105 cycles. The device shows ultra‐low energy consumption of 0.072 pJ and excellent environmental stability.
Faisal Ghafoor   +11 more
wiley   +1 more source

Model Checking Probabilistic Timed Automata with One or Two Clocks [PDF]

open access: yesLogical Methods in Computer Science, 2008
Probabilistic timed automata are an extension of timed automata with discrete probability distributions. We consider model-checking algorithms for the subclasses of probabilistic timed automata which have one or two clocks.
Marcin Jurdzinski   +2 more
doaj   +1 more source

Integrative Multi‐Omics and Routine Blood Analysis Using Deep Learning: Cost‐Effective Early Prediction of Chronic Disease Risks

open access: yesAdvanced Science, EarlyView.
Omicsformer, a deep learning model, integrates multi‐omics and routine blood data to accurately predict risks for nine chronic diseases, including cancer and cardiovascular conditions. Validated using large scale clinical data, it reveals early risk trajectories, advancing personalized medicine and offering a cost‐effective, community‐based solution ...
Zhibin Dong   +20 more
wiley   +1 more source

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