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FairVis

FairVis is Helping Data Scientists Discover Societal Biases in their Machine Learning Models

Researchers present FairVis - a visual analytics system that enables discovery of user subgroups to discover bias in machine learning models.

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Peter S. Dodds

IDEaS Co-hosts Its First Distinguished Visitor

Peter S. Dodds visits Georgia Tech for two weeks in November.

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HPC Resource - data stack

HPC Framework Blocks May Instigate a New Era of Accessibility for Software Engineers

CSE Professor Ümit Çatalyürek receives NSF grant to develop a framework that facilitates simpler programming of scalable parallel systems in high-performance computing (HPC) and exascale machines.

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Asynchronous Methods for HPC

New Tricks for an Old Technique: Asynchronous Methods for Exascale Computing

CSE researchers present a new perspective on applying asynchronous methods to combat bottlenecks in exascale computing.

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