Tidligere arrangementer - Side 51
Mathew Galloway, Institute of Theoretical Astrophysics, University of Oslo.
China’s main foreign policy initiatives are not directed at the West but prioritise south-south relations. In this seminar, we will learn more about China’s orientation towards developing countries and the meaning of the concept of a ‘more democratic world order’ for the Chinese Communist Party.
Kriser r?sker opp i systemer og utl?ser nyskapning. Hvor god er v?r kriseh?ndtering? Hva skal til for at vi blir bedre? Overlever strategiene m?tet med virkeligheten?
Lectures by visiting guest researchers Mesele Yihune Tamene, Tilaye Wube Hailemariam, Nega Tassie Abate, and Gashaw Tilahun Desta
The Ports speaker series features Martin Danyluk, assistant professor of geography at the University of Nottingham.
Maintenance plays a crucial role in ships and especially in the vital electric propulsion system. Intelligent predictive maintenance idealistically aims at preventing system failures and minimizing needless repairs, i.e., predicting failure likelihood and time to failure while providing the crew explainable predictions and recommending the best action for timely intervention. This presentation will cover a relevant work in collaboration with Sensor Systems in BigInsight, particularly a paper published under https://doi.org/10.1109/TII.2022.3144177. The failure prediction approach is driven by event logs, which include warnings, alarms, and operational information that describe all the happenings onboard the ship. The failure prediction objective is turned into classification and regression tasks; however, the training data pose three challenges. The events are irregular textual messages. The training data samples are not labelled. The datasets are extremely imbalanced, due to sparse failure events and multiple failure modes. The problem is casted into a weakly supervised machine learning framework. In a multiple instance learning process, the ungiven data labels are learned recursively while fitting the model parameters using deterministic annealing. The overall approach was tested on real ship data, and it successively forecasted few propulsion failures with explainable causes.
Welcome to a new AMR related event organised by the Interdisciplinary Forum for Research on Antimicrobial resistance (INFRA) at Helsam.
High-Resolution, 3D Imaging of fish mucosal immunology: Discovery of a new lymphoid tissue, organ, and nexus
Dr. Julien Resseguier (Researcher, FYSCELL / Department of Immunology, Faculty of Medicine, University of Oslo)
By Anna Sturrock from the University of Essex, UK
Abstract: We investigate the simulation of a rising bubble and a stationary droplet interaction to gain a better understanding of the rising dynamics and the morphology changing of bubble-droplet aggregate. A detailed study is conducted on the interaction process under different-size bubbles with various combinations of spreading factors. The current simulation framework consists of the conservative phase-field Lattice Boltzmann equation (LBE) for interface tracking and the velocity-pressure LBE for hydrodynamics. We simulate the contact line dynamics to confirm the method's accuracy. We further investigate the morphology changing of two contact droplets under different combinations of spreading factors and depict the final morphologies in a diagram. The separated, partially engulfed and complete engulfed morphologies can be replicated by systematically altering the sign of the spreading factors. The rising bubble and droplet interaction is simulated based on different final morphologies by adding a body force. The results show that the aggregate with double emulsion morphology can avoid distortion and maintain a greater terminal velocity than the aggregate with partially engulfed morphology.
Talk is online on Zoom. Please contact "timokoch at uio.no" for the Zoom link. This talk is part of the Mechanics Lunch Seminar series. Bring-your-own-lunch and lots of questions.
Deep learning (DL) has had unprecedented success and is now entering scientific computing with full force. However, current DL methods typically suffer from instability, even when universal approximation properties guarantee the existence of stable neural networks (NNs). In this talk we will show that there are basic well-conditioned problems in scientific computing where NNs with great approximation qualities are proven to exist, however, there does not exist any algorithm, even randomised, that can train (or compute) such a NN to even 1-digit of accuracy with a probability greater than 1/2. These results provide basic foundations for Smale’s 18th problem ("What are the limits of AI?") and imply a potentially vast classification theory describing conditions under which (stable) NNs with a given accuracy can be computed by an algorithm. We begin this theory by initiating a unified theory for compressed sensing and DL, leading to sufficient conditions for the existence of algorithms that compute stable NNs in inverse problems. We introduce Fast Iterative REstarted NETworks (FIRENETs), which we prove and numerically check (via suitable stability tests) are stable. The reference for this talk is: https://arxiv.org/abs/2101.08286 (to appear in Proc. Natl. Acad. Sci. USA).
NCMM Associate Investigator, Dr. Hege G. Russnes, Group Leader of the Genomic Alterations in Cancer group at Oslo University Hospital will present her research as part of the NCMM Tuesday Seminar Series.
Avdeling for helseledelse og helse?konomi inviterer til ?pen forelesning i helseledelse.
Abstract: The fungal kingdom is one of the most species-rich organismal groups, containing up to 6 million species worldwide with a large diversity of ecosystem functions. Multicellularity has evolved independently in fungi, and over time many different growth forms and structures have originated. I will present some basics on fungal growth and the formation of complex multicellular structures.
Online participation is possible too. Please contact "timokoch at uio.no" for the Zoom link. This talk is part of the Mechanics Lunch Seminar series. Bring-your-own-lunch and lots of questions.
Tony Mroczkowski, European Southern Observatory (ESO), München.
By Rebecca Taylor from Trent University, Ontario, Canada
NCMM Associate Investigator, Dr Lorena Arranz, Group Leader of the Stem Cell Aging and Cancer Research Group will present her research as part of the NCMM Tuesday Seminar Series.
Senter for tverrfaglig kj?nnsforskning inviterer kolleger og venner til v?rt ?rlige nytt?rsselskap, som i ?r blir et digitalt arrangement. Det blir nytt?rsk?seri ved Ida Jackson og utdeling av pris for beste masteroppgave med kj?nnsperspektiv.
Department seminar. Kjetil Storesletten is a Professor of Economics at the University of Minnesota. He will present the paper "Serial entrepreneurship in China".
How do low-carbon transitions create inequality and how can we make them more socially inclusive? Join us in the 2021 Hal Wilhite Memorial Lecture with Benjamin Sovacool.
Super-resolution is a hot topic in current day Machine Learning. The origin of the methodology dates back to applications in seismic imaging. I discuss the evolution from the early days and highlight some papers which have given new theoretical insights along the way. I illustrate the bridge between traditional convex optimization and current day convolutional neural nets. Along the way I show some examples where we have used this for current day applications in seismic imaging.
Helene Kn?velsrud, Senior Scientist and head of the Mapping and Disrupting Cancer Circuits Project at Oslo University Hospital, and Charlotte Boccara, head of the Sleep, Cognition & Development project team at the Institute of Basic Medical Sciences, UiO, will present their latest research as part of NCMM's Tuesday Seminar series.