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DART Project

DART Project

Data Analytics that are Robust and Trusted

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      • 2021 Student Poster Competition
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Author: Hanna Ford

2022 Student Poster Competition

  • All Hands

We are pleased to present the submissions from our project undergraduate and graduate level students.Continue Reading

DART Color Palette

  • Uncategorized

DART uses the following color palette: https://assets.adobe.com/public/f05214fd-4f48-4af5-741d-2323683483dc

Education Mini-Seed Grants

  • Seed Grants

Arkansas NSF EPSCoR’s current Track-1 project, Data Analytics that are Robust and Trusted (DART): FromContinue Reading

Research Seed Grants

  • Seed Grants

June 1, 2022: The 2022 solicitation period is closed. The next solicitation will be announcedContinue Reading

2022 All Hands Meeting and Poster Competition

  • All Hands

YR 2 Update Videos for External Advisory Board (May 2022) YR 2 Meeting Registration, Hotel,Continue Reading

2+2 Program Work-in-progress

  • Webinars

Title: 2+2 Program Work-in-progress, presented by the Education RTPresenter(s): Education RTDate: April 27, 2022 DescriptionContinue Reading

Research Network

  • Uncategorized

Prediction and learning for designing materials for solar energy conversion

  • Webinars

Title: Prediction and learning for designing materials for solar energy conversionPresenter(s): Rob CoridanDate: February 23,Continue Reading

Precognition: Seeing through the Future

  • Webinars

Title: Precognition: Seeing through the Future Presenter(s): Khoa Luu Date: January 26, 2022 Description Vision-basedContinue Reading

Deep Learning in Biomedical Imaging

  • Webinars

Title: Deep Learning in Biomedical Imaging Presenter(s): Ngan Le Date: December 1, 2021 Description MedicalContinue Reading

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This material is based upon work supported by the National Science Foundation under Award No. OIA-1946391. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

This work is licensed under CC BY-NC 4.0
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