S6E4: Joel Ye: Examining Neural Data More Efficiently And Holistically Science In Parallel podcast

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S6E4: Joel Ye: Examining Neural Data More Efficiently and Holistically

6M ago 25:10

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Indhold leveret af Sarah Webb and Krell Institute. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Sarah Webb and Krell Institute eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Understanding how the brain works remains a grand scientific challenge, and it's yet another area where researchers are examining whether foundation models could help them find patterns in complex data. Joel Ye of Carnegie Mellon University talks about his work on foundation models, their potential and limitations and how others can get involved in applying these AI tools.

Joel Ye is a Ph.D. student in the program in neural computation at Carnegie Mellon University in Pittsburgh, where he studies ways to understand brain data and brain-computer interfaces. He's a third-year Department of Energy Computational Science Graduate Fellow.

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39 episoder

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S6E4: Joel Ye: Examining Neural Data More Efficiently and Holistically

Science in Parallel

published 6M ago

Del

MP3•Episode hjem

Indhold leveret af Sarah Webb and Krell Institute. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Sarah Webb and Krell Institute eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Understanding how the brain works remains a grand scientific challenge, and it's yet another area where researchers are examining whether foundation models could help them find patterns in complex data. Joel Ye of Carnegie Mellon University talks about his work on foundation models, their potential and limitations and how others can get involved in applying these AI tools.

Joel Ye is a Ph.D. student in the program in neural computation at Carnegie Mellon University in Pittsburgh, where he studies ways to understand brain data and brain-computer interfaces. He's a third-year Department of Energy Computational Science Graduate Fellow.

… continue reading

39 episoder

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