SZ4D Presents: Machine Learning & Artificial Intelligence Virtual Workshop

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From: Tushar Mittal <tmittal2@xxxxxxxxxxxx>


*SZ4D Presents: Machine Learning & Artificial Intelligence Virtual
Workshop, August 2-4, 2023*

Please plan to attend the *SZ4D Virtual Workshop on Machine Learning and
Artificial Intelligence (ML/AI) taking place August 2-4, 2023*, with three
sessions focused on different themes. Each session will have three invited
speakers (1hr), focused breakouts (1hr), & report back/synthesis (0.5hr).
More details about each session and link to register in advance on our
website
<https://urldefense.com/v3/__https://nam10.safelinks.protection.outlook.com/?url=https*3A*2F*2Fsz4d.us14.list-manage.com*2Ftrack*2Fclick*3Fu*3Dece0efdd81bfc3e95eab5e7bb*26id*3D67b1b291a1*26e*3D290fd26e78&data=05*7C01*7Ctmittal*40psu.edu*7C0b7b506770764c0c531508db7e78a59a*7C7cf48d453ddb4389a9c1c115526eb52e*7C0*7C0*7C638242828899778675*7CUnknown*7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0*3D*7C3000*7C*7C*7C&sdata=Np*2BTcjqw8zHDe6Q0C5ScK9meAnUd2V*2BxjexMgLNyzlg*3D&reserved=0__;JSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSU!!IKRxdwAv5BmarQ!bU3yiMpMwt6XIEXmoVh53f-uqjNB-sjLVcnVzi9jto8OLGaQFPBWOQPqcxLnNFSYSq73e0qUbbsmFjvn9HsYQEFrgA$>
and
below.
Workshop Objectives

To get community input, buy-in, and feedback regarding what AI/ML
approaches are most promising, and what specific steps are needed, to
achieve SZ4D goals: 1) Connect useful techniques across domains to enable
multi-disciplinary science, 2) Determine and prioritize focus areas for
future proposals; and 3) Understand community needs for ML/AI training and
community software.
Organizers

Daniel Trugman (University of Nevada Reno)

Tushar Mittal (Penn State)

Xuesong Ding (UT Austin)


*Please register for each session individually*
SESSION 1 | *Making Sense of Data with ML/AI*
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August 2, 9am-11:30am PDT
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Topics and Focus Areas

   -

   Detection of hidden patterns in geoscience data
   -

   Dimensionality reduction and clustering techniques
   -

   Methods enabling analysis and interpretation of large datasets
   -

   Denoising of time series
   -

   Transient and anomaly detection
   -

   Edge computing


Confirmed Invited Speakers

   -

   Jannes Munchmeyer (ISTerre) - FEC
   -

   Evan Goldstein (UNC Greensboro) - LS
   -

   Matthew Head (U. Illinois) - MDE

Register
<https://urldefense.com/v3/__https://nam10.safelinks.protection.outlook.com/?url=https*3A*2F*2Fsz4d.us14.list-manage.com*2Ftrack*2Fclick*3Fu*3Dece0efdd81bfc3e95eab5e7bb*26id*3D3b532e6d0d*26e*3D290fd26e78&data=05*7C01*7Ctmittal*40psu.edu*7C0b7b506770764c0c531508db7e78a59a*7C7cf48d453ddb4389a9c1c115526eb52e*7C0*7C0*7C638242828899778675*7CUnknown*7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0*3D*7C3000*7C*7C*7C&sdata=LdZtYk*2F9bQraoBSiN3k4Q1bUojjxIpe4PTNd*2F2WWD*2Bk*3D&reserved=0__;JSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUlJSUl!!IKRxdwAv5BmarQ!bU3yiMpMwt6XIEXmoVh53f-uqjNB-sjLVcnVzi9jto8OLGaQFPBWOQPqcxLnNFSYSq73e0qUbbsmFjvn9HugAAtSug$>

SESSION 2 | *Making Predictions with ML/AI*
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August 3, 9am-11:30am PDT
Topics and Focus Areas

   -

   Forecasting / time series datasets
   -

   Data assimilation
   -

   Causality and causal inference
   -

   Transfer learning across domains/regions
   -

   Generative models
   -

   Optimal experimental design


Confirmed Invited Speakers

   -

   Christelle Wauthier (Penn State) - MDE
   -

   Diego Melgar (University of Oregon) - FEC
   -

   Chaopeng Shen (Penn State) - LS

Register
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SESSION 3 | Facilitating Process-based Modeling with ML/AI

August 4, 9am-11:30am PDT
Topics and Focus Areas

   -

   Accelerating simulations/calculations with ML/AI
   -

   Reduced order models with ML/AI
   -

   Physics-informed ML
   -

   Bridging scales in space and time
   -

   Data-driven process or subgrid representation
   -

   Interpretable AI for geoscience


Confirmed Invited Speakers

   -

   Anima Anandkumar (Caltech) - LS/MDE/FEC
   -

   Qingkai Kong (LLNL) - FEC
   -

   Hamed Oâ??Ghaffari (MIT)  - MDE/FEC

Register
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