no code implementations • 9 Jan 2024 • Michael E. Glinsky
Special attention will be paid to the being having the ability to characterize and control a collective system of many identical conservative sub-systems conservatively interacting.
no code implementations • 8 Oct 2023 • Michael E. Glinsky, Sharon Sievert
The view of electronic currency as a transactional equity associated with tangible assets of a sub-economy will be developed, in contrast to the view of stock as an equity associated mostly with intangible assets of a sub-economy.
no code implementations • 22 Nov 2022 • Zhen Guo, Zhiguang Liu, Qihang Zhang, George Barbastathis, Michael E. Glinsky
We propose a noise-resilient deep reconstruction algorithm for X-ray tomography.
no code implementations • 7 Apr 2022 • Zhen Guo, Jung Ki Song, George Barbastathis, Michael E. Glinsky, Courtenay T. Vaughan, Kurt W. Larson, Bradley K. Alpert, Zachary H. Levine
X-ray tomography is capable of imaging the interior of objects in three dimensions non-invasively, with applications in biomedical imaging, materials science, electronic inspection, and other fields.
no code implementations • 15 Nov 2021 • Zhen Guo, Jung Ki Song, George Barbastathis, Michael E. Glinsky, Courtenay T. Vaughan, Kurt W. Larson, Bradley K. Alpert, Zachary H. Levine
Training the deep generative models with synthetic IC data from CircuitFaker illustrates the capabilities of the learned prior from machine learning.
no code implementations • 13 Apr 2020 • Michael E. Glinsky, Thomas W. Moore, William E. Lewis, Matthew R. Weis, Christopher A. Jennings, David J. Ampleford, Patrick F. Knapp, Eric C. Harding, Matthew. R. Gomez, Adam J. Harvey-Thompson
We have developed a metric of image morphology based on the Mallat Scattering Transformation (MST), a transformation that has proved to be effective at distinguishing textures, sounds, and written characters.
no code implementations • 1 Nov 2019 • Michael E. Glinsky, Thomas W. Moore, William E. Lewis, Matthew R. Weis, Christopher A. Jennings, David A. Ampleford, Eric C. Harding, Patrick F. Knapp, Matthew. R. Gomez, Sophia E. Lussiez
We have developed a metric of image morphology based on the Mallat Scattering Transformation (MST), a transformation that has proved to be effective at distinguishing textures, sounds, and written characters.
Computational Physics High Energy Physics - Theory Fluid Dynamics Plasma Physics