Learning To Discover is a program on Artificial Intelligence and High Energy Physics (HEP) to take place at Institut Pascal Paris-Saclay 19th Apr 2022 to 29th Apr 2022, in its beautiful new building. Over the two weeks, three themes will be successively tackled during innovation-oriented sessions of two days each, followed by a three-day general conference on AI and physics.
Since 2014, the field of AI and HEP has grown exponentially. Physicists have realised quickly the potential of AI to deal with the large amount of complex data they are collecting and analysing. Many AI techniques have been put forward, with scientific collaboration based on open data sets, challenges, workshops and papers.
Learning To Discover is a first-of-its-kind program where participants will have access to deep technical insights in advanced machine learning techniques, and their application to particle physics. During the event, blending the concept of hackathon, hands-on and tutorials, physicists who have attempted to apply machine learning to specific challenges in HEP will expose their problem case and the solutions they have arrived at so far. ML experts will expose the latest advances in relevant techniques. Machine learning experts and ML-aware physicists will work hand in hand on existing datasets, building upon and improving existing solutions.Bibliography and open datasets will have been made available months earlier in order to make the event most productive. Under this particular environment, the participants will be able to discuss and understand shortcomings of existing solutions and develop novel architectures and methods to outperform on the specific problem.
This is the fifth annual workshop of the LPCC inter-experimental machine learning working group at CERN. It will take place at CERN with remote participation made possible.
This is the fourth annual workshop of the LPCC inter-experimental machine learning working group.
The structure is the following :
- Monday 28th March : Tutorials
- Tuesday 29th March : Plenary
- Wednesday 30th March-Friday 1st April: workshop sessions
The following plenary speakers are confirmed so far:
- Konstantinos Bousmalis (Deepmind Robotics)
- Laurent Daudet (LightOn)
- Anna Goldie (Google Brain)
- Alex Gramfort (INRIA)
- Tommaso Dorigo (U Padova)
- Nils Thuerey (TUM)
- Sofia Vallecorsa (CERN)
- Christoph Weniger (GRAPPA, Amsterdam)
The bulk of the workshop will be be built from contributed talks, for which abstract submission is open (will close 18th Feb 2022). For the contributed talks, the following Tracks have been defined:
- ML for object identification and reconstruction
- ML for analysis : event classification, statistical analysis and inference, including anomaly detection
- ML for simulation and surrogate model : Application of Machine Learning to simulation or other cases where it is deemed to replace an existing complex model
- Fast ML : Application of Machine Learning to DAQ/Trigger/Real Time Analysis
- ML infrastructure : Hardware and software for Machine Learning
- ML training, courses, tutorial, open datasets and challenges
- ML for astroparticle
- ML for phenomenology and theory
- ML for particle accelerators
- Other
Since their creation in 1966 by Jean Tran Thanh Van, the Rencontres de Moriond bring together physicists for in-depth discussions in a friendly and relaxed atmosphere. The 55th Rencontres de Moriond session devoted to QCD AND HIGH ENERGY INTERACTIONS will take place from Saturday, March 27th to Saturday, April 3rd, 2021.
Dr Teppei Katori, Kings College London
Neutrino physics is one of the most flourishing fields in particle physics. Neutrinos are elementary particles of nature, and scientists found they have mass. This was the topic of the 2015 Nobel prize, and is the only clear evidence for this mass beyond the Standard Model of particle physics. Scientists all over the world study properties of neutrinos or use neutrinos as a new tool to investigate astrophysical objects and fundamental properties of the universe. In this talk Dr Katori will review particle physics and the status of the most exciting neutrino projects in the world.
This event may also be delivered as an online webinar. If necessary due to Coronavirus or venue restrictions it will be an online webinar only.
A combined annual meeting of the IOP Astroparticle Physics Group, the High Energy Particle Physics Group and the Nuclear Physics Group.
From 12-15 April 2021, the Institute of Physics will be bringing together the UK Nuclear Physics, High Energy Particle Physics and Astroparticle Physics communities for a joint annual conference. Due to the ongoing Covid situation, this meeting will be delivered in an entirely online format. The meeting will feature keynote and invited talks from major national and international speakers, as well as extensive opportunities for contributed talks. Poster sessions will be presented using a virtual environment to promote social interaction, and updates and discussions with senior members of the Science and Technology Facilities Council will be provided at a Town Meeting.
The BSM-2021 Conference is an online meeting, organized by The Center for Fundamental Physics (CFP) at Zewail City of Science and Technology and Faculty of Engineering and Natural Sciences at Sabancı University.
The conference aims at discussing latest developments in the physics beyond the standard models of particle physics, cosmology and gravitation. We hope that the conference will help to strengthen the international collaborations among the high energy physicists, and allow for fruitful discussions on most recent theoretical, experimental and observational developments.
The program consists of plenary presentations by invited speakers and contributed talks selected from submitted abstracts. The main topics of the conference are:
- Collider Physics and Beyond
- Supersymmetry and GUT
- Higgs Physics
- Neutrino Physics
- Astroparticle Physics and Dark Matter
- Gravity and Black Holes
- Cosmology and Early Universe
- String Theory and Phenomenology
Participation in the BSM-2021 is FREE.
