In: News

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MSEE Machine Learning workshop highlights techniques for automated analysis of experimental data

In recent years, methods based on Deep Convolutional Neural Networks (DCNNs) have shown impressive performance improvements for object detection and recognition...

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MSEE researchers publish article featuring novel diagnostics in Nature Communications

MSEE researchers Velat Kilic (CCRI), Mark Foster (CCRI), and KT Ramesh (RA1-FA2) recently contributed to an article highlighting MSEE-supported work on...

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From LLNL “It’s getting hot in here: lasers deliver powerful shocking punch”

  • August 7, 2024
  • News

The following article was originally published on 11/15/23 by Lawrence Livermore National Laboratory (LLNL) and features Harry Radousky, and other MSEE collaborators in...

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MSEE hosts fourth Annual Technical Review

  • August 5, 2024
  • News

From June 11–13, members of the MSEE community gathered in Baltimore, Maryland for this year’s MSEE URA Annual Technical Review (ATR)....

Cross Cutting Research Initiative: Cracking the code on brittle materials

The following article was originally published on 6/18/24 by Johns Hopkins University (JHU) and features Mark Foster, Liuchi Li, and other MSEE collaborators...

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JHU shines a spotlight on MSEE collaborator Amee Polk

  • April 11, 2024
  • News

The following article was originally published on 4/3/24 by the Department of Materials Science and Engineering at Johns Hopkins University and features...