PhD Therapy @realfagsbiblioteket

UiO Realfagsbiblioteket | PhD Therapy @realfagsbiblioteket | Uploaded June 2018 | Updated October 2024, 6 hours ago.
Struggling with imposter syndrome? Lost your motivation? Does your work feel useless? Is your supervisor giving you a hard time? Send your questions to our experts here and get their qualified opinon - and perhaps even a solution to your problems!

Host: Sunniva Rose

Panel: Cathrine Tellefsen, Steven Ray Wilson, Ilan Dehli Villanger, Ann-Cecilie Larsen

Boklansering: Ragnhild Sollund - Bare et dyr?

Hvordan føle seg frem i universet: om kvantefysikken og virkeligheten

Plancks strålingslov: klima, energi, kvanter og kameraer som kan se i mørke -Torbjørn Skauli

GEO-Wednesday: Hunting for fossil earthquakes in the Norwegian rocks

GEO Wednesday: Exploring Alien Worlds –Travelling the Solar System and Beyond

Physics at the Library: Ben Still - How to Build a LEGO Universe

GeoOnsdag: Drones, a unique perspective on features of the natural world

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