Brain-Inspired Hyperdimensional Computing: Theoretical Perspectives and Real-World Applications
A special issue of Big Data and Cognitive Computing (ISSN 2504-2289).
Deadline for manuscript submissions: 31 October 2024 | Viewed by 312
Special Issue Editors
Interests: computational biology; machine learning; metagenomics; microbial genomics; vector-symbolic architectures; hyperdimensional computing
Interests: machine learning; hyperdimensional computing; reproducible multi-omics data analysis workflow and pipelines development
Interests: molecular dynamics simulations; computational chemistry; quantum computing; protein structure prediction; cheminformatics software development
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore the emerging field of hyperdimensional computing (HDC, a.k.a. vector-symbolic architectures), inspired by the way in which the human brain remembers and processes information, leveraging vectors in a high-dimensional space and a set of arithmetic operations. This publication will delve into the theoretical foundations, methodologies, algorithms, and practical applications of hyperdimensional computing, fostering a deeper understanding of its potential impact in the management of big data and cognitive computing. This Special Issue seeks to encompass a wide array of topics related to HDC, with the objective of providing a comprehensive overview of the theoretical underpinnings and practical applications of this novel computational paradigm. We invite researchers worldwide to share their latest research on HDC. We are particularly interested in papers that present new theoretical insights, innovative algorithms, and real-world applications.
The scope includes, but is not limited to:
- Theoretical frameworks and models underpinning hyperdimensional computing;
- Arithmetic and mathematical foundations of hyperdimensional spaces for data representation and processing;
- Hyperdimensional computing techniques for feature extraction, classification, and clustering;
- Applications of hyperdimensional computing in natural language processing, computer vision, and speech recognition, and other domains where it can be applied to solve specific scientific problems;
- Integration of hyperdimensional computing with cognitive computing for enhanced artificial intelligence capabilities;
- Hardware implementations and optimizations to accelerate hyperdimensional computing tasks;
- Comparative analysis of hyperdimensional computing with traditional computing paradigms in terms of performance, scalability, and efficiency;
- Use cases and success stories demonstrating the practical utility of hyperdimensional computing in real-world scenarios.
Dr. Fabio Cumbo
Dr. Jayadev Joshi
Dr. Bryan Raubenolt
Dr. Rahul Shubhra Mandal
Guest Editors
Manuscript Submission Information
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Keywords
- hyperdimensional computing
- vector symbolic architectures
- neuromorphic computing
- cognitive computing
- brain-inspired computing
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