A December 10–12 working group met to bring together researchers from two fields — neuromorphic computing and stochastic ...

The relentless advancement of artificial intelligence (AI) across sectors such as healthcare, the automotive industry, and social media necessitates the development of more efficient hardware ...

Abstract: Stochastic computing is a promising technique for realizing high-performance computing owing to its extremely low hardware cost. However, the stochastic number (SN) has too many information ...

Beijing’s Beihang University has initiated the first large-scale deployment of non-binary AI chips, The project introduces a hybrid computing system that fuses binary and stochastic logic to improve ...

Scientists have built the first networked quantum computer using photons, demonstrating that room-temperature modules can be connected and scaled up. When you purchase through links on our site, we ...

This is a transaction-level, event-driven python-based simulator for evaluation of stochastic computing based optical neural network accelerators for various quantized Convolutional Neural Network ...

An example of SC-FCNN on MNIST. This work is an un-offical implementation of paper: Dynamic Energy-Accuracy Trade-off Using Stochastic Computing in Deep Neural Networks. We use full-SC process, all ...

ABSTRACT: The paper describes some implementation aspects of an algorithm for approximate solution of the traveling salesman problem based on the construction of convex closed contours on the initial ...