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UID:20250602T101848EDT-132950GWUd@132.216.98.100
DTSTAMP:20250602T141848Z
DESCRIPTION:How can mathematics contribute to AI?\n\nAbstract:\n\nArtificia
l intelligence is arguably the hottest topic in science. Computer science
and engineering currently set the agenda in this field\, sidelining mathem
atics to a large extent. This talk\, however\, will highlight that mathema
tics has a lot to offer. We will introduce mathematical guarantees that pr
ovide deep insights into the inner workings of AI\, and we will show how s
tatistical principles can make AI more efficient. More generally\, we will
discuss the role of mathematics\, especially statistics\, in AI and data
science.\n\nSpeaker\n\nJohannes is the chair of Mathematics for Data-Drive
n Methods at University of Hamburg. His research journey includes ETH Zuri
ch\, UC Berkeley\, Cornell University\, and University of Washington. More
over\, Johannes was Visiting Professor at UC Louvain\, University of Hong
Kong\, and University Gustave Eiffel. He is an associate editor of the Ele
ctronic Journal of Statistics\, Sankhya A\, and the Canadian Journal of St
atistics. Johannes is a prominent spokesperson of data science and AI in G
ermany: in addition to his podcast and his presence in social and classica
l media\, he is a founding member of Hamburg Virtual Initiative for Scienc
e & Technology in AI\, a member of Kiez of Computing and Data Science\, an
d the outreach delegate for mathematics at University of Hamburg. He also
organizes workshops and is a keynote speaker on the topic.\n\nhttps://mcgi
ll.zoom.us/j/89838224036\n\nMeeting ID: 898 3822 4036\n\nPasscode: None\n
DTSTART:20250228T203000Z
DTEND:20250228T213000Z
LOCATION:Room 1104\, Burnside Hall\, CA\, QC\, Montreal\, H3A 0B9\, 805 rue
Sherbrooke Ouest
SUMMARY:Johannes Lederer (University of Hamburg)
URL:/mathstat/channels/event/johannes-lederer-universi
ty-hamburg-363832
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