Articles tagged with "Vector Symbolic Architectures, Hardware Technologies, Cognitive Computing, Neural Networks, Artificial Intelligence"

Hardware Technologies And Algorithms for Vector Symbolic Architectures (Purdue Univ., Georgia Tech)

Researchers from Purdue University and Georgia Institute of Technology have published a technical paper on "Cross-Layer Design of Vector-Symbolic Computing," focusing on the convergence of hardware and algorithms in Vector Symbolic Architectures (VSAs). The paper aims to bridge the gap between theoretical software-level explorations and the development of efficient hardware architectures for VSAs. It discusses principles of vector-symbolic computing, hardware technologies for VSAs, and a methodology for cross-layer design. The paper also proposes a hierarchical cognition hardware system as a demonstration of the co-design approach. Open research challenges for future exploration are also highlighted.