AIMC Topic: Memory

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Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging.

Nature communications Sep 28, 2021
Medical imaging is a central part of clinical diagnosis and treatment guidance. Machine learning has increasingly gained relevance because it captures features of disease and treatment response that are relevant for therapeutic decision-making. In cl...
Humans Neural Networks, Computer Machine Learning Lung Diagnostic Imaging Memory Tomography, X-Ray Computed Learning
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Multiscale representations of community structures in attractor neural networks.

PLoS computational biology Aug 23, 2021
Our cognition relies on the ability of the brain to segment hierarchically structured events on multiple scales. Recent evidence suggests that the brain performs this event segmentation based on the structure of state-transition graphs behind sequent...
Neural Networks, Computer Models, Neurological Hippocampus Humans Memory Theta Rhythm
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Concurrent Associative Memories With Synaptic Delays.

IEEE transactions on neural networks and learning systems Aug 3, 2021
This article presents concurrent associative memories with synaptic delays useful for processing sequences of real vectors. Associative memories with synaptic delays were introduced by the authors for symbolic sequential inputs and demonstrated sever...
Memory Association Learning Databases, Factual Deep Learning Humans Neural Networks, Computer Synapses Models, Neurological Algorithms Speech Recognition Software
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Dual Memory LSTM with Dual Attention Neural Network for Spatiotemporal Prediction.

Sensors (Basel, Switzerland) Jun 21, 2021
Spatiotemporal prediction is challenging due to extracting representations being inefficient and the lack of rich contextual dependences. A novel approach is proposed for spatiotemporal prediction using a dual memory LSTM with dual attention neural n...
Neural Networks, Computer Memory
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Digital electronics in fibres enable fabric-based machine-learning inference.

Nature communications Jun 3, 2021
Digital devices are the essential building blocks of any modern electronic system. Fibres containing digital devices could enable fabrics with digital system capabilities for applications in physiological monitoring, human-computer interfaces, and on...
Digital Technology Body Temperature Memory Remote Sensing Technology Electronics Textiles Neural Networks, Computer Machine Learning User-Computer Interface Monitoring, Physiologic Wearable Electronic Devices Humans
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Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization.

IEEE transactions on neural networks and learning systems Apr 2, 2021
The Bayesian method is capable of capturing real-world uncertainties/incompleteness and properly addressing the overfitting issue faced by deep neural networks. In recent years, Bayesian neural networks (BNNs) have drawn tremendous attention to artif...
Memory Software Validation Algorithms Neural Networks, Computer Computer Systems Computers Artificial Intelligence Humans Deep Learning Bayes Theorem Software
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A Fast Spatial Pool Learning Algorithm of Hierarchical Temporal Memory Based on Minicolumn's Self-Nomination.

Computational intelligence and neuroscience Mar 17, 2021
As a new type of artificial neural network model, HTM has become the focus of current research and application. The sparse distributed representation is the basis of the HTM model, but the existing spatial pool learning algorithms have high training ...
Neural Networks, Computer Algorithms Memory
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Anomalous Behavior Detection Framework Using HTM-Based Semantic Folding Technique.

Computational and mathematical methods in medicine Mar 16, 2021
Upon the working principles of the human neocortex, the Hierarchical Temporal Memory model has been developed which is a proposed theoretical framework for sequence learning. Both categorical and numerical types of data are handled by HTM. Semantic F...
Electronic Data Processing Memory Neocortex Natural Language Processing Semantics Pattern Recognition, Automated Computational Biology Models, Neurological Humans Algorithms Machine Learning Neural Networks, Computer Learning
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Quantization Friendly MobileNet (QF-MobileNet) Architecture for Vision Based Applications on Embedded Platforms.

Neural networks : the official journal of the International Neural Network Society Dec 29, 2020
Deep Neural Networks (DNNs) have become popular for various applications in the domain of image and computer vision due to their well-established performance attributes. DNN algorithms involve powerful multilevel feature extractions resulting in an e...
Memory Photic Stimulation Algorithms Humans Deep Learning Neural Networks, Computer Pattern Recognition, Automated
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A comprehensive study of class incremental learning algorithms for visual tasks.

Neural networks : the official journal of the International Neural Network Society Dec 8, 2020
The ability of artificial agents to increment their capabilities when confronted with new data is an open challenge in artificial intelligence. The main challenge faced in such cases is catastrophic forgetting, i.e., the tendency of neural networks t...
Psychomotor Performance Memory Visual Perception Algorithms Reproducibility of Results Neural Networks, Computer Humans Artificial Intelligence
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