Beyond Vision: Physics meets AI

Aims and scope

The workshop Beyond Vision: Physics meets AI (BVPAI), to be held within the 22nd International Conference on Image Analysis and Processing (ICIAP 2023), on September 11th, 2023, in Udine. Beyond Vision: Physics meets AI is the first ICIAP workshop devoted to Nuclear and other Physics-based Imaging technologies and the applications of Statistical Learning methods and Artificial Intelligence techniques to Physics.

In the recent years, we have witnessed the incredible rise of Artificial Intelligence in all physical sciences: from Computer Vision techniques driven by Nuclear Imaging for painting restoration, to deep generative models used to look for signs of New Physics with the big experiments at CERN. Those technologies are becoming ubiquitus in research activities, pushing research towards the most advanced tools and techniques developed in Computer Vision.

The aim of the workshop is to furnish researchers with different backgrounds a place to share experiences, learn best practices and contribute to the discussion about the current challenges in the application of Statistical Learning and Artificial Intelligence methods to various physics domains, and explore the possibilities offered by the Nuclear vision systems to the many possible applicative realms.

Researchers and Technologists willing to participate in the Workshop should submit a paper through the CMT3 workshop page, passing through a double-blind review phase.

The submission deadline is July, 10th, 2023 July, 21st, 2023. Accepted papers will be published in Springer Lecture Notes in Computer Science.

The official workshop programme is now available!

Topics

The workshop is organized in two main tracks:

1. Nuclear & other Physics-based Imaging technologies
   • Nuclear (& other Physics-based extended) Computer Vision for Cultural Heritage
   • Particle Accelerators applications: imaging, software and statistical analysis
   • Stastical learning for Astronomy
   • X-ray, Neutron and Proton image analysis and processing for Medical Physics
   • AI-enhanced experimental apparatus
   • Neutron and X-Ray-based Tomographic analysis for applied physics
   • Multimodal analysis methods
2. Generative Models & other disruptive Deep Learning methods for Physical Sciences
   • Density estimation
   • Anomaly detection
   • Physics-informed systems
   • Fast detector simulation
   • Synthetic data augmentation
   • Other SOTA methods for Physics Data Analysis and processing

Key dates

• Paper submission deadline: July, 10th, 2023 July 21st, 2023
• Decision to authors: July 31st, 2023
• Camera ready papers due: August 20th, 2023
• Workshop date: September, 11th, 2023

Organizers

Alessandro Bombini INFN-Firenze	Matteo Barbetti University of Firenze	Lisa Castelli INFN-Firenze	Stefano Dal Pra INFN-CNAF

Contact

For any questions, please contact us via CMT3 at cmt3/BVPAI2023/Email/Chairs or via our institutional emails.