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Reconstructing computational system dynamics from neural data with recurrent neural networks.

• Authors : Durstewitz D; Dept. of Theoretical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany. .; Interdisciplinary Center for Scientific Computing, Heidelberg University, Heidelberg, Germany. .

Subjects: Artificial Intelligence* ; Neurosciences*; Animals

• Source: Nature reviews. Neuroscience [Nat Rev Neurosci] 2023 Nov; Vol. 24 (11), pp. 693-710. Date of Electronic Publication: 2023 Oct 04.Publisher: Nature Pub. Group Country of Publication: England NLM ID: 100962781 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Integrating artificial intelligent techniques and continuous time simulation modelling. Practical predictive analytics for energy efficiency and failure detection.

• Authors : Crespo Márquez, Adolfo¹ (AUTHOR) ; Crespo Del Castillo, Adolfo² (AUTHOR) ; Gómez Fernández, Juan F.¹ (AUTHOR)

Subjects: *CONTINUOUS time models; *ENERGY consumption; *MAINTENANCE

• Source: Computers in Industry. Feb2020, Vol. 115, pN.PAG-N.PAG. 1p.

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Real-Time Analysis in Artificial Intelligence: An ability to make informed decisions is key in systems that handle dynamic situations.

• Authors : PAULSEN, KARL

Subjects: ARTIFICIAL neural networks; ARTIFICIAL intelligence; GENERATIVE artificial intelligence

• Source: TV Technology; Jan2025, Vol. 43 Issue 1, p20-21, 2p

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AI Survival Prediction Modeling: The Importance of Considering Treatments and Changes in Health Status over Time.

• Authors : Adam, Nabil; Wieder, Robert

Subjects: BREAST cancer prognosis; BREAST tumor treatment; PREDICTION modelsUNITED States

• Source: Cancers; Oct2024, Vol. 16 Issue 20, p3527, 13p

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From Large Language Models to Large Multimodal Models: A Literature Review.

• Authors : Huang, Dawei; Yan, Chuan; Li, Qing

Subjects: LANGUAGE models; ARTIFICIAL intelligence; LITERATURE reviews

• Source: Applied Sciences (2076-3417); Jun2024, Vol. 14 Issue 12, p5068, 30p

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Stability-preserving discrete models for a class of continuous neural network models.

• Authors : Shirisha, G.; Vernekar, Saroj; Revathi, Ravilisetty

Subjects: ARTIFICIAL neural networks; FINITE differences; DYNAMICAL systems

• Source: Nonlinear Studies; 2024, Vol. 31 Issue 1, p221-237, 17p

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A systematic literature survey on recent trends in stock market prediction.

• Authors : Balasubramanian, Prakash; P., Chinthan; Badarudeen, Saleena

• Source: PeerJ Computer Science; Jan2024, p1-25, 25p

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Discerning Discretization for Unmanned Underwater Vehicles DC Motor Control.

• Authors : Menezes, Jovan; Sands, Timothy

Subjects: MOTOR vehicles; ADAPTIVE control systems; ARTIFICIAL intelligence

• Source: Journal of Marine Science & Engineering; Feb2023, Vol. 11 Issue 2, p436, 17p

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Indoor room temperature forecasting in buildings: a literature review (2001-21).

• Authors : Pandey, Kamal; Basu, Bhaskar

Subjects: STATISTICAL learning; ENERGY consumption of buildings; FORECASTING methodology

• Source: Facilities; 2023, Vol. 41 Issue 1/2, p81-107, 27p

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DeepPricing: pricing convertible bonds based on financial time-series generative adversarial networks.

• Authors : Tan, Xiaoyu; Zhang, Zili; Zhao, Xuejun

Subjects: GENERATIVE adversarial networks; CONVERTIBLE bonds; BULL markets

• Source: Financial Innovation; 6/6/2022, Vol. 8 Issue 1, p1-38, 38p

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