Montag, 22. Januar 2024, 16:45 - 17:45 iCal

ISOR Colloquium

TALK POSTPONED!

"Reliability of Artificial Intelligence: Chances and Challenges"

Speaker: Gitta Kutyniok (Ludwig-Maximilians-Universität München, Germany)

HS 7 OMP1 (#1.303)
Oskar-Morgenstern-Platz 1, 1090 Wien

Vortrag

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Unfortunately, Prof. Kutyniok's talk (scheduled for January 22, 2024) has to be POSTPONED due to illness. A new date will be announced at a later date.

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Artificial intelligence is currently leading to one breakthrough after the other, both in public life with, for instance, autonomous driving and speech recognition, and in the sciences in areas such as medical imaging or molecular dynamics. However, one current major drawback worldwide, in particular, in light of regulations such as the EU AI Act and the G7 Hiroshima AI Process, is the lack of reliability of such methodologies.

In this lecture, we will provide an introduction into this vibrant research area, focussing specifically on deep neural networks. We will then survey recent advances, in particular, concerning performance guarantees and explainability approaches. Finally, we will discuss fundamental limitations of the training phase of deep neural networks on classical hardware, and reveal a surprising connection to novel computing approaches such as neuromorphic computing and quantum computing.

Zur Webseite der Veranstaltung

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Veranstalter

Institut für Statistik und Operations Research

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Kontakt

Sabine Sobotka-Tompits, BA
Fakultät für Wirtschaftswissenschaften
Institut für Statistik und Operations Research
+43 1 4277 38631
sabine.sobotka-tompits@univie.ac.at

Erstellt am Montag, 22. Januar 2024, 10:15
Letzte Änderung am Mittwoch, 31. Januar 2024, 15:16