WMLQ2022 - International Workshop on Machine Learning and Quantum Computing Applications in Medicine and Physics

Added by graag666 on 2022-06-27

Conference Dates:

Start Date Start Date: 2022-09-13
Last Date Last Day: 2022-09-16
Deadline for abstracts/proposals Deadline for abstracts/proposals: 2022-07-17

Conference Contact Info:

Contact Person Contact Person: Wojciech Krzemie?, Konrad Klimaszewski
Email Email: [email protected]
Address Address: Tribacka street 4, Warsaw, Poland

Conference Description:

We cordially invite you to the International Workshop on Machine Learning and Quantum Computing Applications in Medicine and Physics, which will take place in Warsaw (Poland) from 13 to 16 September 2022. The workshop is organized by the National Centre for Nuclear Research in cooperation with scientists from the University of Vienna and Jagiellonian University.

In the past two years, we have seen an increasing number of interdisciplinary exchanges, especially with machine learning methods involved. Many times similar techniques and tools are used to solve a variety of problems. This workshop aims to facilitate the transfer of knowledge by bringing together experts from various institutions and research groups in the field of medical imaging, radiotherapy, physics, and computer science. The workshop serves as a platform to enable research at the edge of various disciplines. The transfer of methods between disciplines is highly needed and it has repeatedly proved to be a very fruitful approach.

The workshop will take place in KIG, Tr?backa street 4, in Old Town zone (Stare Miasto).


List of topics:
* machine learning methods in medical applications,
* machine learning methods in high-energy physics ?nd astrophysics,
* quantum machine learning,
* Generative Adversarial Networks for fast simulations both in medicine ?nd particle physics,
* quantum simulations,
* quantum ?nd quantum-inspired computing algorithms,
* novel methods in medical imaging,
* High-Performance Computing (HPC) in physics ?nd medicine, in particular on heterogeneous platforms such as FPGA ?nd GPU.

A training hands-on session will be held during the workshop. It will focus on applications of transfer learning methods.

The workshop is planned to operate in an on-site format.
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