Frontiers

High-Dimensional Representations in Brain and Machine: Vector Symbolic Architectures for Neural Computation

Recent advances in neuroscience, cognitive science, and artificial intelligence are converging on the need for representations that are at once distributed, ...
IEEE

A Knowledge Graph Approach to Cyber Threat Mitigation Derived from Data Flow Diagrams

Abstract: Data Flow Diagrams (DFD) have proven effective in designing and analyzing the flow of data in enterprise systems. They serve as indispensable tools for enterprises that are undergoing ...
Semiconductor Engineering

Zero-Trust Data Sharing Architectures Redefining Chip Manufacturing

Real-time security clearances are becoming increasingly common in manufacturing of advanced-node semiconductors, where data ...
IEEE

Efficient Deep Neural Network Training With a Novel 5.3-Bit Block Floating Point Data Format

Abstract: Low-bit-width data formats offer a promising solution for enhancing the energy efficiency of Deep Neural Network (DNN) training accelerators. In this work, we introduce a novel 5.3-bit data ...
Electronic Design

11 Myths About the Portable Stimulus Standard

Is the Portable Stimulus Standard (PSS) living up to its promise of portable verification and validation across levels of ...