dScience lunsjseminar: Don’t trust your senses! @realfagsbiblioteket

UiO Realfagsbiblioteket | dScience lunsjseminar: Don’t trust your senses! @realfagsbiblioteket | Uploaded September 2024 | Updated October 2024, 36 seconds ago.
Velkommen til vårt dScience lunsjseminar i Realfagsbiblioteket med Henrik Skaug Sætra.

Program
12:00 – Dørene åpner og lunsj serveres

12:15 – "Don’t trust your senses!" av Henrik Skaug Sætra (førsteamanuensis, Institutt for informatikk)

13:15 – Mingling / slutt

Om seminarserien
dScience inviterer til ukentlige lunsjseminarer! Hver torsdag byr vi på lunsj og korte foredrag for PhD-kandidater og postdoktorer i våre lokaler. Grunnet begrenset med plass (40 personer) er dette førstemann til mølla. En gang i måneden holdes disse i Realfagsbiblioteket, hvor man kan forsyne seg av mat og drikke til spennende presentasjoner av interne og eksterne foredragsholdere.

https://www.uio.no/dscience/aktuelt/arrangementer/24-ls-sept19.html

$Exploring System Dynamics in the Natural World with AI - Danny Caballero Danny Caballero (Michigan State University) - We don’t need AI in science education, we need science education for AI Welcome to a conference on discovery and prediction in complex geo systems. AI/ML shows promise for accelerating Bayesian inversions, is able to capture and identify controlling features of high fidelity models, and appears to improve complex system analysis, including extending predictive horizons, for reasons that are not fully understood. This conference focuses on efforts to advance the use of AI/ML to understand physical processes in the geosciences and adjacent fields. AI/ML shows promise for accelerating Bayesian inversions, is able to capture and identify aspects of the dynamics of high fidelity models, and appears to improve complex system analysis, including extending predictive horizons, for reasons that are not fully understood. This has been demonstrated across the physical sciences including for geophysical modeling, fracture mechanics, and climate and weather prediction. This conference focuses on efforts to advance the use of AI/ML to understand physical processes in the geosciences and adjacent fields, and brings together practitioners and theorists from academia and industry for an open exchange of current results and discussions of future strategies. A central goal is to encourage diversity and collaboration between different disciplines, all through AI/ML practice, and to identify new connections between applications in fields, from networks to earthquakes, and turbulence to chaos. https://www.ub.uio.no/english/courses-events/events/mednat/ureal/2024/240930conference.html$

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