Brain-Inspired Hyperdimensional Computing: Theoretical Perspectives and Real-World Applications

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

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Big Data and Cognitive Computing is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• hyperdimensional computing
• vector symbolic architectures
• neuromorphic computing
• cognitive computing
• brain-inspired computing