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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3001765
Abstract: For many natural language processing applications, estimating similarity and relatedness between words are key tasks that serve as the basis for classification and generalization. Currently, vector semantic models (VSM) have become a fundamental language modeling…
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Keywords:
vector symbolic;
similarity estimation;
semantic similarity;
high dimensional ... See more keywords
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Published in 2022 at "Proceedings of the IEEE"
DOI: 10.1109/jproc.2022.3209104
Abstract: This article reviews recent progress in the development of the computing framework vector symbolic architectures (VSA) (also known as hyperdimensional computing). This framework is well suited for implementation in stochastic, emerging hardware, and it naturally…
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Keywords:
vector symbolic;
computing framework;
hardware;
framework ... See more keywords
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Published in 2024 at "Biomimetics"
DOI: 10.3390/biomimetics9030175
Abstract: We propose a new nature- and neuro-science-inspired algorithm for spatiotemporal learning and prediction based on sequential recall and vector symbolic architecture. A key novelty is the learning of spatial and temporal patterns as decoupled concepts…
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Keywords:
sequence learning;
vector symbolic;
learning prediction;
prediction ... See more keywords
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Published in 2025 at "Robotics"
DOI: 10.3390/robotics14040038
Abstract: The rapid adoption of artificial intelligence (AI) systems, such as predictive AI, generative AI, and explainable AI, is in contrast to the slower development and uptake of robotic AI systems. Dynamic environments, sensory processing, mechanical…
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Keywords:
motion intelligence;
vector symbolic;
smart contracts;
motion ... See more keywords