ACAT2022 has put together a spectacular program of plenary talks! Abstracts may be submitted until July 14, 2022 and registration is now open!
The 21th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2022) will take place between Monday, 24th and Friday 28th October, 2022 at the Villa Romanazzi Carducci in Bari, Italy. If registered, It will also be possible to follow the sessions online.
Abstract submission
Abstract submission is open until July, 14, 2022. Click here to submit your abstract.
ACAT promises to showcase an excellent set of plenary speakers, and highlights include Maria Spiropulu (Caltech) on Analysis of Higgs particle on quantum computing; Anna Scaife (Manchester) on Artificial Intelligence in the SKA Era; Gregor Kasieczka (Hamburg) on Machine Learning in the Search for New Fundamental Physics; Andrea Wulzer (Padua) on Learning New Physics from an (Imperfect) Machine; Raja Appuswamy (Eurecom) on Advancements in DNA as a Data Storage Medium; and Ana Lucia Varbanescu (Twente and Amsterdam) on Predicting Performance.
To complement the plenary program, we invite you to submit abstracts for parallel talks and posters. The poster sessions will be both in person and through a virtual platform, allowing for a wider and exciting conference experience.
Registration
Early Registration is open until 20 August 2022. Click here to start your registration.
Please forward this news to others who might be interested. ACAT's success is based on its many high quality contributions and the technical expertise of its attendees.
We look forward to seeing you in October in Bari or, if that is not possible, in a virtual conference room!
The 21th edition of ACAT will, once again, bring together computational experts from a wide range of disciplines, including particle-, nuclear-, astro-, and accelerator-physics as well as high performance computing. Through this unique forum, we will explore the areas where these disciplines overlap with computer science, fostering the exchange of ideas related to cutting-edge computing, data-analysis, and theoretical-calculation technologies.
AI meets Reality
The theme of ACAT 2022 will reflect the increasing adoption of AI (Artificial Intelligence) and ML (Machine Learning) techniques as standard tools in science and beyond. This use in real production workflows shows both successes and new challenges.
Scientific Programme
ACAT Workshops have plenary and parallel sessions during the five-day conference. The parallel sessions cover the following areas:
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Track 1: Computing Technology for Physics Research, including languages, paradigms, architectures, virtualization, networking and online computing.
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Track 2: Data Analysis - Algorithms and Tools, including machine learning, analysis techniques, simulation, reconstruction and visualization methods, and future ideas such as quantum computing.
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Track 3: Computations in Theoretical Physics: Techniques and Methods, including automatic systems, higher order calculations, computer algebra techniques, and theoretical and simulation aspects of computational physics.
This edition of ACAT will emphasize Artificial Intelligence and Machine Learning, although as at the previous ACATs we hope that a wide variety of experimental and theoretical topics will be discussed.
Additional Information
If you have been forwarded this email and would like to make sure you don't miss out when registration opens, please subscribe by sending an email to acat-loc2022@cern.ch!
