This configuration allows for the analysis of data in real-time as experiments occur. A primary experimental connection for the platform is the National Spherical Torus Experiment-Upgrade (NSTX-U) at ...

This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Abstract: With latest advancements in architecture, reprogram ability and availability of abundant on-chip resources, FPGAs (Field Programmable Gate Array) are used as hardware accelerators to speedup ...

Abstract: Graphics Processing Units (GPUs) have emerged as the predominant hardware platforms for massively parallel computing. However, their inherent von-Neumann architecture still suffers ...

A very minimal implementation of neural network on Matlab to fit mechanical properties of a multi-principal element alloy (or HEA for high entropy alloys). The example given fits the Vickers hardness ...

Governments and tech companies continue to pour money into quantum technology in the hopes of building a supercomputer that can work at speeds we can't yet fathom to solve big problems. Imagine a ...