The rapidly increasing volume and complexity of data is demanding the relentless scaling of
computing power. With transistor feature size approaching physical limits, the benefits that …

Hyperdimensional computing (HDC) is a paradigm for data representation and learning
originating in computational neuroscience. HDC represents data as high-dimensional, low …

Data movement and processing have become significant bottlenecks for conventional Von
Neumann architectures, especially as dataset sizes continue to grow. This issue is …