ÜBER DIESE EPISODE
If you experience any technical difficulties with this video or would like to make an accessibility-related request, please send a message to digicomm@uchicago.edu.
On a November 8, 2012, panel, UChicago scientists and scholars and IBM experts discuss how high performance computing is transforming academic research.
Learn more about join speaker series at nationallabs.uchicago.edu/page/speaker-series
On a November 8, 2012, panel, UChicago scientists and scholars and IBM experts discuss how high performance computing is transforming academic research.
Learn more about join speaker series at nationallabs.uchicago.edu/page/speaker-series
Englisch
Vereinigte Staaten
TRANSKRIPT 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
VERGANGENE FOLGEN SUCHEN
Vorhandene Folgen von Computer Science (video) durchsuchen.
WEITERE EPISODEN IN DIESEM PODCAST
If you experience any technical difficulties with this video or would like to make an accessibility-related request, please send a message to digicomm@uchicago.edu.
This conference is in honor of Partha Niyogi, the Louis Block Professor in Computer Science and Statistics at the University of Chica…
If you experience any technical difficulties with this video or would like to make an accessibility-related request, please send a message to digicomm@uchicago.edu.
Partha Niyogi Memorial Conference: "Topology and the Geometry of Manifolds from Sampling". This conference is in honor of Partha Niyo…
If you experience any technical difficulties with this video or would like to make an accessibility-related request, please send a message to digicomm@uchicago.edu.
Partha Niyogi Memorial Conference: "A Risk-based View of the Conventional and New Types of Path Inference in HMM". This conference is…
If you experience any technical difficulties with this video or would like to make an accessibility-related request, please send a message to digicomm@uchicago.edu.
Partha Niyogi Memorial Conference: "Learning Vector-valued Functions and Data-dependent Kernels for Manifold Regularization". This co…
Rechtliche Hinweise: Der auf dieser Seite eingebettete Podcast und das Bildmaterial stammen von The University of Chicago, das Eigentum seines Eigentümers ist und nicht mit Listen Notes, Inc. verbunden ist oder von diesen unterstützt wird.
BEARBEITEN
Vielen Dank, dass Sie uns helfen, die Podcast-Datenbank auf dem neuesten Stand zu halten.