Darmstadt. Machine Learning for Scattering Problems

Designing complex engineering systems often relies on simulation and optimization. Examples include electric motors or high-frequency devices. These processes are based on the Finite Element

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Global Communication Network Concept

Kaiserslautern. Federated Learning Workshop – Decentralized Machine Learning That Ensures Data Privacy

Machine Learning helps us almost everywhere in the modern world, but technical and data protection challenges often need to be clarified first. One solution is Federated Learning! The Machine Learning model is trained decentrally on local devices, which guarantees better data protection and security.

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ChatGPT: If Scale is the Answer, What is Left to be Asked?

Prof. Dr. Goran Glavaš from the Uni Würzburg will present a talk on the topic »ChatGPT: If Scale is the Answer, What is Left to be Asked?«. His presentation will be publically and online acessable, but adresses mainly scientists. This event is the starting point for the new edition of our seminar series »Machine and Deep Learning«.

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Seismic Imaging Provides an Insight Into the Earths Subsurface

The seismic reflection method involves sending acoustic waves thousands of meters under the Earth’s surface. The reflected signals provide scientists with information about the characteristics of the subsurface. Researchers at the Fraunhofer ITWM are able to process seismic data in greater detail.

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KTU Big Data School

Faculty of Mathematics and Natural Sciences (Kaunas University of Technology) kindly invites you to participate in 3 days event “Big Data School 2022″ in Kaunas

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Fourth International Conference on Computational Finance, June 6-10, 2022.

The Chair Applied Mathematics and Numerical Analysis of the University of Wuppertal is the organizer of the Fourth International Conference on Computational Finance (ICCF2022). This

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New Series of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization

On September 20, 16.30 (CET), we are returning with the second season of the Online Seminar Series Machine Learning NeEDS Mathematical Optimization, https://congreso.us.es/mlneedsmo/. Please find

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Using machine learning to produce a very high resolution land-cover map for Ireland

Eoin Walsh CRT student In order to make forecasts about the weather, meteorologists make use of Numerical Weather Prediction (NWP) models. These models require real

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Graphs in Space: Graph Embeddings for Machine Learning on Complex Data

In today’s world, data in graph and tabular form are being generated at astonishing rates, with algorithms for machine learning (ML) and data mining (DM)

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Industrial PhD: Machine Learning techniques for slender structures in the offshore industry

My name is Halvor Snersrud Gustad and I am a first year industrial-Ph.D. student at TechnipFMC in cooperation with the Department of Mathematical Sciences of

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