Gotowe bibliografie tematyczne / Memory (Artificial)

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Gotowa bibliografia na temat „Memory (Artificial)”

Autor: Grafiati

Data publikacji: 27 lipca 2024

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Memory (Artificial)"

Huang, Guang-qiu. "Artificial memory optimization." Applied Soft Computing 61 (December 2017): 497–526. http://dx.doi.org/10.1016/j.asoc.2017.08.021.

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Wan, Changjin, Pingqiang Cai, Ming Wang, Yan Qian, Wei Huang, and Xiaodong Chen. "Artificial Sensory Memory." Advanced Materials 32, no. 15 (2019): 1902434. http://dx.doi.org/10.1002/adma.201902434.

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Gensburger, Sarah, and Frédéric Clavert. "Is Artificial Intelligence the Future of Collective Memory?" Memory Studies Review 1, no. 2 (2024): 195–208. https://doi.org/10.1163/29498902-202400019.

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Abstract This Memory Studies Review special issue explores the intricate relationship between artificial intelligence (ai) and collective memory. In the one hand, the emergence of generative ai, exemplified by ChatGPT’s 2022 release, appears to herald a new infrastructure for collective memory. On the other, the memory studies work highlights the limits and the backlashes of this new form of memory in its social dimension. This leads to raise a provocative, open-ended question: Is artificial intelligence the future of collective memory? Our issue brings together diverse perspectives from memor

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Kim, Dongshin, and Jang-Sik Lee. "Liquid-based memory and artificial synapse." Nanoscale 11, no. 19 (2019): 9726–32. http://dx.doi.org/10.1039/c9nr02767j.

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Park, Youngjun, Min-Kyu Kim, and Jang-Sik Lee. "Emerging memory devices for artificial synapses." Journal of Materials Chemistry C 8, no. 27 (2020): 9163–83. http://dx.doi.org/10.1039/d0tc01500h.

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This paper reviews recent developments in artificial synapses that exploit various emerging memory devices. The emulation of synaptic plasticity and operation mechanism of artificial synapses using various materials and structures are presented.

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Welberg, Leonie. "Artificial activation of a memory trace." Nature Reviews Neuroscience 13, no. 5 (2012): 287. http://dx.doi.org/10.1038/nrn3242.

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Li, Xianneng, and Guangfei Yang. "Artificial bee colony algorithm with memory." Applied Soft Computing 41 (April 2016): 362–72. http://dx.doi.org/10.1016/j.asoc.2015.12.046.

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Chen, Yujie, Chi Chen, Hafeez Ur Rehman, et al. "Shape-Memory Polymeric Artificial Muscles: Mechanisms, Applications and Challenges." Molecules 25, no. 18 (2020): 4246. http://dx.doi.org/10.3390/molecules25184246.

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Shape-memory materials are smart materials that can remember an original shape and return to their unique state from a deformed secondary shape in the presence of an appropriate stimulus. This property allows these materials to be used as shape-memory artificial muscles, which form a subclass of artificial muscles. The shape-memory artificial muscles are fabricated from shape-memory polymers (SMPs) by twist insertion, shape fixation via Tm or Tg, or by liquid crystal elastomers (LCEs). The prepared SMP artificial muscles can be used in a wide range of applications, from biomimetic and soft rob

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Rafiq, Tanveer, Muhammad Azam, Muhammad Khalid, Salman Akber, Muhammad Sohaib Naseem, and Mian Mohsin Sattar. "Towards a Unified Model of Narrative Memory in Conscious Agents: From Human Cognition to Artificial Consciousness." Asian Bulletin of Big Data Management 4, no. 4 (2024): 55–68. https://doi.org/10.62019/abbdm.v4i4.243.

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This study seeks to bridge the gap between narrative memory in human cognition and artificial agents by proposing a unified model. Narrative memory, fundamental to human consciousness, organizes experiences into coherent stories, influencing memory structuring, retention, and retrieval. By integrating insights from human cognitive frameworks and artificial memory architectures, this work aims to emulate these narrative processes in artificial systems. The proposed model adopts a multi-layered approach, combining elements of episodic and semantic memory with narrative structuring techniques. It

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P, Mrs Divya, and Karthika K S. "A Cognitive Framework for Memory Reconstruction in Artificial Systems." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 770–75. https://doi.org/10.22214/ijraset.2025.68286.

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Artificial cognitive systems suitable of storing and recalling complex patterns are vital for advancing independent intelligence. These systems bear the integration of episodic and semantic memory structures to reconstruct shattered information without significant interference. This study presents a new frame for artificial memory reconstruction inspired by mortal cognitive processes. The frame includes the storage and recovery of spatio-temporal patterns and the operation of Intelligent Software Agents to emulate mortal- suchlike memory functionality. By using contextual integration and simil

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Rozprawy doktorskie na temat "Memory (Artificial)"

Hedberg, Charlie Forsberg, and Alexander Pedersen. "Artificial Intelligence : Memory-driven decisions in games." Thesis, Blekinge Tekniska Högskola, Institutionen för teknik och estetik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3640.

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Developing AI (Artificial Intelligence) for games can be a hard and challenging task. It is sometimes desired to create behaviors that follow some sort of logical pattern. In order to do this, information must be gathered and processed. This bachelor thesis presents an algorithm that could assist current AI technologies to collect and memorize environmental data. The thesis also covers practical implementation guidelines, established through research and testing.<br>Att utveckla AI (Artificiell Intelligence) i spel kan vara en hård och utmanande uppgift. Ibland är det önskvärt att skapa beteen

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Bachhav, Pramod. "Explicit memory inclusion for efficient artificial bandwidth extension." Electronic Thesis or Diss., Sorbonne université, 2019. http://www.theses.fr/2019SORUS492.

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La plupart des algorithmes ABE exploitent les informations contextuelles ou la mémoire capturée via l'utilisation de caractéristiques statiques ou dynamiques extraites de trames de parole voisines. L'utilisation de la mémoire entraîne des caractéristiques dimensionnelles plus élevées et une complexité informatique accrue. Lorsque les informations provenant de trames de prévisualisation sont également utilisées, la latence augmente également. Les travaux antérieurs montrent l'avantage pour ABE d'exploiter la mémoire sous la forme d'entités dynamiques avec un modèle de régression standard. Même

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Kanar, Ege. "Photography as artificial memory: Construction of the Photographic Self." Master's thesis, Akademie múzických umění v Praze. Filmová a televizní fakulta AMU. Knihovna, 2008. http://www.nusl.cz/ntk/nusl-78095.

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Moposita, Tatiana. "Artificial Neural Network (ANN) design using Compute-in-Memory." Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS682.

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De nos jours, l'ère du " More than Moore" a émergé comme une influence significative face aux limitations anticipées par la loi de Moore. Les systèmes informatiques explorent des technologies alternatives pour maintenir et améliorer les performances. Cette idée émergé pour résoudre les défis des systèmes électroniques inspirés des réseau biologiques, communément appelés Réseau Neurones Artificiels (ANN). L'utilisation des technologies emerging non-volatile memory (eNVM) est étudiée comme des alternatives prometteuses. Ces technologies offrent plusieurs avantages par rapport à la technologie CM

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Day, Jonathan. ""Must I remember?" : artificial memory systems and early modern England." Thesis, University of Liverpool, 2014. http://livrepository.liverpool.ac.uk/2006202/.

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My thesis traces the evolution of artificial memory systems from classical Greece to early modern England to explore memorial traumas and the complex nature of a very particular way of remembering. An artificial memory system is a methodology to improve natural memory. Classical artificial memory systems employ an architectural metaphor, emphasising regularity and striking imagery. Classical memory systems also frequently describe the memory as a blank page. This thesis follows the path of transmission of these ideas and the perennial relationship between memory and forgetting and memory and f

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Ludwig, Lars [Verfasser], and Thomas [Akademischer Betreuer] Lachmann. "Extended Artificial Memory. Toward an integral cognitive theory of memory and technology / Lars Ludwig. Betreuer: Thomas Lachmann." Kaiserslautern : Technische Universität Kaiserslautern, 2013. http://d-nb.info/1045194794/34.

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Ntourntoufis, Panayotis. "Aspects of the theory of weightless artificial neural networks." Thesis, Imperial College London, 1994. http://hdl.handle.net/10044/1/8506.

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Turvey, Simon Paul. "Analysing and enhancing the performance of associative memory architectures." Thesis, University of Hertfordshire, 2003. http://hdl.handle.net/2299/14113.

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This thesis investigates the way in which information about the structure of a set of training data with 'natural' characteristics may be used to positively influence the design of associative memory neural network models of the Hopfield type. This is done with a view to reducing the level of connectivity in models of this type. There are three strands to this work. Firstly, an empirical evaluation of the implementation of existing theory is given. Secondly, a number of existing theories are combined to produce novel network models and training regimes. Thirdly, new strategies for constructing

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Tigreat, Philippe. "Sparsity, redundancy and robustness in artificial neural networks for learning and memory." Thesis, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire, 2017. http://www.theses.fr/2017IMTA0046/document.

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L'objectif de la recherche en Intelligence Artificielle (IA) est de répliquer les capacités cognitives humaines au moyen des ordinateurs modernes. Les résultats de ces dernières années semblent annoncer une révolution technologique qui pourrait changer profondément la société. Nous focalisons notre intérêt sur deux aspects cognitifs fondamentaux, l'apprentissage et la mémoire. Les mémoires associatives offrent la possibilité de stocker des éléments d'information et de les récupérer à partir d'une partie de leur contenu, et imitent ainsi la mémoire cérébrale. L'apprentissage profond permet de p

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Church, Dana L. "Spatial encoding of artificial flowers by bumblebees (Bombus impatiens): The contents of memory." Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/29206.

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A novel methodology allowed simultaneous investigation of three elements of bumblebee foraging behaviour: spatial encoding of flower position, landmark use, and scent marking. Bumblebees were presented with a row of artificial flowers in a flight cage, one flower offering reward (S+). Testing involved empty (i.e., unrewarding) flowers. In Experiment 1, flower covers presumed to be scent marked (old covers) were switched with one of the unmarked covers, or replaced with new, scent-mark-free covers. Results confirmed previous research: presence of old covers influenced response type rather than

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Książki na temat "Memory (Artificial)"

Kanerva, Pentti. Sparse distributed memory. MIT Press, 1988.

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Kolcz, A. Approximation properties of memory-based artificial neural networks. UMIST, 1995.

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Barba, Gianfranco Dalla. Memory, Consciousness and Temporality. Springer US, 2002.

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Kanerva, Pentti. Sparse distributed memory and related models. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1992.

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Mace, Mary E. Memory Storage Patterns in Parallel Processing. Springer US, 1987.

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Denning, Peter J. Sparse disributed memory. Research Institute for Advanced Computer Science, [NASA Ames Research Center, 1989.

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Jean, Delacour, and Levy Jean-Claude, eds. Systems with learning and memory abilities. North-Holland, 1988.

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K, Riesbeck Christopher, ed. Experience, memory, and reasoning. L. Erlbaum Associates, 1986.

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Przybylski, Steven A. Cache and memory hierarchy design: A performance-directed approach. Morgan Kaufmann Publishers, 1990.

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Jorgensen, Charles C. Distributed memory approaches for robotic neural controllers. Research Institute for Advanced Computer Science, NASA Ames Research Center, 1990.

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Części książek na temat "Memory (Artificial)"

Pratt, Ian. "Memory Organization." In Artificial Intelligence. Macmillan Education UK, 1994. http://dx.doi.org/10.1007/978-1-349-13277-5_7.

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Crowder, James A., John N. Carbone, and Shelli A. Friess. "Artificial Memory Systems." In Artificial Cognition Architectures. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8072-3_5.

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Krauss, Patrick. "Memory." In Artificial Intelligence and Brain Research. Springer Berlin Heidelberg, 2024. http://dx.doi.org/10.1007/978-3-662-68980-6_7.

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Jia, Huijue. "Memory in Cells." In Neuroscience for Artificial Intelligence. Jenny Stanford Publishing, 2023. http://dx.doi.org/10.1201/9781003410980-4.

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Isaev, Peter, and Patrick Hammer. "Memory System and Memory Types for Real-Time Reasoning Systems." In Artificial General Intelligence. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33469-6_15.

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Özkural, Eray. "Towards Heuristic Algorithmic Memory." In Artificial General Intelligence. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22887-2_47.

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Wichert, Andreas. "Quantum Associative Memory." In Quantum Artificial Intelligence with Qiskit. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003374404-14.

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Orseau, Laurent, and Mark Ring. "Memory Issues of Intelligent Agents." In Artificial General Intelligence. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35506-6_23.

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Jia, Huijue. "Memory in Dendritic Spines." In Neuroscience for Artificial Intelligence. Jenny Stanford Publishing, 2023. http://dx.doi.org/10.1201/9781003410980-5.

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Edelkamp, Stefan. "Memory Limitations in Artificial Intelligence." In Algorithms for Memory Hierarchies. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-36574-5_11.

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Streszczenia konferencji na temat "Memory (Artificial)"

Tossoun, Bassem, Di Liang, Stanley Cheung, et al. "In-Memory Optical Computing with Non-Volatile Silicon Photonic Memory." In Optical Fiber Communication Conference. Optica Publishing Group, 2025. https://doi.org/10.1364/ofc.2025.w3d.6.

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Research in non-volatile memory on silicon photonic integrated circuits is advancing rapidly. We explore recent progress in this emerging area and discuss their applications within programmable PICs for machine learning, artificial intelligence, and quantum computing.

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Panagoulias, Dimitrios P., Persephone Papatheodosiou, Anastasios Bonakis, Dimitrios Dikeos, Maria Virvou, and George A. Tsihrintzis. "Memory and Schema in Human-Generative Artificial Intelligence Interactions." In 2024 IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2024. https://doi.org/10.1109/ictai62512.2024.00072.

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Chang, Meng-Fan. "Tutorial: Nonvolatile Circuits for Memory, Logic, and Artificial Intelligence." In 2018 IEEE International Solid-State Circuits Conference - (ISSCC). IEEE, 2018. https://doi.org/10.1109/isscc19945.2018.11005958.

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Huang, Bo-Sheng, Ted T. Kuo, Li-Jen Wang, and Chia-Yu Lin. "Remind: Recall Enhanced Memory Integration for Natural Language Dialogue Systems." In 2025 IEEE Conference on Artificial Intelligence (CAI). IEEE, 2025. https://doi.org/10.1109/cai64502.2025.00125.

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Dudzik, Bernd, Hayley Hung, Mark Neerincx, and Joost Broekens. "Artificial Empathic Memory." In the 2018 Workshop. ACM Press, 2018. http://dx.doi.org/10.1145/3267799.3267801.

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Ae, T., R. Aibara, and Y. Nishioka. "A memory-based artificial neural network." In 1991 IEEE International Joint Conference on Neural Networks. IEEE, 1991. http://dx.doi.org/10.1109/ijcnn.1991.170468.

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Shimizu, Y., and Y. Osana. "Chaotic Complex-Valued Multidirectional Associative Memory." In Artificial Intelligence and Applications. ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.674-121.

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Adda, Coline, Julien Tranchant, Pablo Stoliar, et al. "An Artificial Neuron Founded on Resistive Switching of Mott Insulators." In 2017 IEEE International Memory Workshop (IMW). IEEE, 2017. http://dx.doi.org/10.1109/imw.2017.7939071.

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Boybat, Irem, Manuel Le Gallo, S. R. Nandakumar, et al. "An efficient synaptic architecture for artificial neural networks." In 2017 17th Non-Volatile Memory Technology Symposium (NVMTS). IEEE, 2017. http://dx.doi.org/10.1109/nvmts.2017.8171302.

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Sun, Koun-Tem, Syuan-Rong Syu, and Shih-Yun Lee. "Design Semantic Memory by Artificial Neural Network." In 2019 IEEE 2nd International Conference on Knowledge Innovation and Invention (ICKII). IEEE, 2019. http://dx.doi.org/10.1109/ickii46306.2019.9042636.

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Raporty organizacyjne na temat "Memory (Artificial)"

Walden, Victoria Grace, and Kate Marrison, eds. Recommendations for using Artificial Intelligence and Machine Learning for Holocaust Memory and Education. REFRAME, 2023. http://dx.doi.org/10.20919/elvh8804.

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Mazari, Mehran, Yahaira Nava-Gonzalez, Ly Jacky Nhiayi, and Mohamad Saleh. Smart Highway Construction Site Monitoring Using Artificial Intelligence. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2025.2336.

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Construction is a large sector of the economy and plays a significant role in creating economic growth and national development,and construction of transportation infrastructure is critical. This project developed a method to detect, classify, monitor, and track objects during the construction, maintenance, and rehabilitation of transportation infrastructure by using artificial intelligence and a deep learning approach. This study evaluated the performance of AI and deep learning algorithms to compare their performance in detecting and classifying the equipment in various construction scenes.

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Pasupuleti, Murali Krishna. Neural Computation and Learning Theory: Expressivity, Dynamics, and Biologically Inspired AI. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv425.

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Abstract: Neural computation and learning theory provide the foundational principles for understanding how artificial and biological neural networks encode, process, and learn from data. This research explores expressivity, computational dynamics, and biologically inspired AI, focusing on theoretical expressivity limits, infinite-width neural networks, recurrent and spiking neural networks, attractor models, and synaptic plasticity. The study investigates mathematical models of function approximation, kernel methods, dynamical systems, and stability properties to assess the generalization capa

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BARKHATOV, NIKOLAY, and SERGEY REVUNOV. A software-computational neural network tool for predicting the electromagnetic state of the polar magnetosphere, taking into account the process that simulates its slow loading by the kinetic energy of the solar wind. SIB-Expertise, 2021. http://dx.doi.org/10.12731/er0519.07122021.

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The auroral activity indices AU, AL, AE, introduced into geophysics at the beginning of the space era, although they have certain drawbacks, are still widely used to monitor geomagnetic activity at high latitudes. The AU index reflects the intensity of the eastern electric jet, while the AL index is determined by the intensity of the western electric jet. There are many regression relationships linking the indices of magnetic activity with a wide range of phenomena observed in the Earth's magnetosphere and atmosphere. These relationships determine the importance of monitoring and predicting ge

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Khan, Saif M. Maintaining the AI Chip Competitive Advantage of the United States and its Allies. Center for Security and Emerging Technology, 2019. http://dx.doi.org/10.51593/20190013.

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The United States and its allies enjoy a competitive advantage in the production of artificial intelligence chips necessary for leading AI research and implementation. This memo identifies chokepoints for limiting China’s access to key chipmaking equipment.

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Chopra, H. D. FINAL REPORT: FG02-01ER-45906 - A novel class of artificially modulated magnetic multilayers based on magnetic shape memory alloys. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/840960.

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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detecti

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Aroca Moya, Belén. Conceptos, fundamentos y herramientas de neurociencia y su aplicación al billete. Banco de España, 2023. http://dx.doi.org/10.53479/29749.

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El neurodiseño y el diseño emocional se aplican en el desarrollo de productos que conecten con la visión y el estilo de vida de los consumidores. Esta tendencia también afecta a los billetes: son necesarios diseños más seguros y fiables que logren representar a los ciudadanos y despertar un sentimiento de orgullo al utilizarlos. El objetivo de este documento es compilar los conceptos y fundamentos clave de la neurociencia, la percepción y el diseño, así como ofrecer una visión general de la neurociencia y de las técnicas de análisis aplicadas al ciclo de vida del billete: el diseño de billetes

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Memoria de Iniciación Científica 2023. Universidad Autónoma de Chile, 2024. http://dx.doi.org/10.32457/12728/10296202484.

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«Entre lo imposible y lo posible hay una investigación», es la idea que impulsa los pasos de las y los estudiantes que forman parte del Programa de Iniciación Científica de la Universidad Autónoma de Chile, iniciativa que ha transformado vidas y marcado un hito en el mundo de la investigación. Durante nueve años, este programa ha sido el catalizador que ha fomentado la formación de habilidades críticas para el desarrollo de actividades de investigación e innovación. Una estructura sólida que ha dado lugar a investigaciones de primer nivel, con impacto en la sociedad y el crecimiento personal y

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Dichiarazione di Munster sui principi etici e sull‘ integrità della ricercar. Munster Technological University, 2025. https://doi.org/10.34719/jtqm3323.

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"<p>INGENIUM è un'alleanza di dieci istituti di istruzione superiore di dieci paesi europei. Questa università europea cerca di facilitare ciascun membro della rete nell‘ offrire programmi di studio e titoli di alta qualità con componenti digitali che sono condivisi all'interno dell'Alleanza INGENIUM.</p> <p>Negli istituti di istruzione superiore vi è una crescente enfasi sulla promozione di buone pratiche in tutti gli aspetti della ricerca12, da quella di base a quella applicata finanche alla commercializzazione. L'etica della ricerca (RE) e l'integrità della ricerca (RI) so

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