no code implementations • 28 Dec 2023 • Daniel Potemkin, Carlos Soto, Ruipeng Li, Kevin Yager, Esther Tsai
In this work, we introduce the prototype of virtual scientific companion (VISION) and demonstrate that it is possible to control basic beamline operations through natural language with open-source language model and the limited computational resources at beamline.
no code implementations • 3 Sep 2020 • Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin Yager, Wei Xu
Existing interactive visualization tools for deep learning are mostly applied to the training, debugging, and refinement of neural network models working on natural images.
no code implementations • 10 Oct 2019 • Xinyi Huang, Suphanut Jamonnak, Ye Zhao, Boyu Wang, Minh Hoai, Kevin Yager, Wei Xu
This extended abstract presents a visualization system, which is designed for domain scientists to visually understand their deep learning model of extracting multiple attributes in x-ray scattering images.
no code implementations • 10 Nov 2016 • Boyu Wang, Kevin Yager, Dantong Yu, Minh Hoai
In this paper, we explore the use of deep learning to develop methods for automatically analyzing x-ray scattering images.