Tag: CIS
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PICS Colloquium: “Exploiting time-domain parallelism to accelerate neural network training and PDE constrained optimization” with Eric Cyr
Title: Exploiting time-domain parallelism to accelerate neural network training and PDE constrained optimization Speaker: Eric Cyr, Principal Member of the Technical Staff at the Computer Science Research Institute at Sandia […]
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PICS Colloquium: “Exploiting time-domain parallelism to accelerate neural network training and PDE constrained optimization” with Eric Cyr
On Wednesday, April 24th at 10 AM EST, PICS will host a colloquium with Eric Cyr, Principal Member of the Technical Staff at the Computer Science Research Institute at Sandia […]
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PICS Colloquium: “Representations Learnt from Synthetic Volumes Enable Training-free Medical Image Analysis” with Neel Dey
On Friday, April 26th at 2 PM EST, PICS will host a colloquium with Neel Dey, Postdoctoral Associate in the Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory. […]
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PICS Workshop: Python Boot Camp
Instructor: Arvind Bhusnurmath Title: Python Boot Camp – from variables and simple statements to fun data visualizations Summary: In this boot camp we will begin from the basics of Python […]
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PICS Workshop: Python Boot Camp
PICS will be hosting a Python Boot Camp with instructor Arvind Bhusnurmath from the CIS department. It will be held in PICS 534 on Saturday, March 16th from 10 AM […]
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PICS Colloquium: “An introduction to neural ODEs in scientific machine learning” with Patrick Kidger
Speaker: Patrick Kidger, Mathematician at Google X Abstract: This is a quick introduction to neural ODEs for scientific applications. The goal is to (a) provide a modelling tool that enhances […]
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PICS Colloquium: “MFEM: Accelerating Efficient Solution of PDEs at Exascale”
Abstract: Upcoming exascale architectures require rethinking of the numerical algorithms used in large-scale PDE-based applications. These architectures favor algorithms, such as high-order finite elements, that expose fine-grain parallelism and maximize […]
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PICS Colloquium: “MFEM: Accelerating Efficient Solution of PDEs at Exascale” with Tzanio Kolev
On Friday, November 10th at 2:00 PM EST, PICS will host a virtual colloquium with Tzanio Kolev, Computational Mathematician at the Lawrence Livermore National Laboratory. There will be an in-person […]
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PICS Colloquium: “Modeling Assembly of Colloids with Charges and with Mobile Binders”
Speaker: Assistant Professor of Chemistry at New York University Abstract: In this talk, I will present our recent efforts in probing the physical processes underlying self-assembly of colloidal […]