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13:00
|
--- Lunch Break ---
|
|
14:00
|
Optimal AI deployment for Online Data Processing
(until 16:00)
(40/S2-A01 - Salle Anderson)
|
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14:00
|
Deployment of Machine Learning Algorithms into Hardware Trigger systems - aka MLOps
-
Maciej Mikolaj Glowacki
(CERN)
|
|
14:05
|
Improving fast inference solutions at LHCb
-
Maarten Van Veghel
(Nikhef National institute for subatomic physics (NL))
|
|
14:10
|
hls4ml and conifer
-
Sioni Paris Summers
(CERN)
|
|
14:15
|
Edge AI for Feature Extraction and Data Preprocessing on FPGAs
- Dr
Thomas Poschl
(CERN)
|
|
14:20
|
Evaluation and Integration of AMD AI Engines for low latency inference in HL-LHC Experiments
-
Dimitrios Danopoulos
(CERN)
|
|
14:25
|
pQuant
-
Roope Oskari Niemi
|
|
14:30
|
Automation of optimization / quantization methods in the CERN MLOps offering
-
Amine Lahouel
(CERN)
|
|
14:35
|
AI/DL Long Lived Particles triggering in the Atlas Muon Spectrometer for Phase-2 HL-LHC
-
Davide Di Croce
(CERN)
|
|
14:40
|
Online Track Seeding with Edge-Classification GNNs in High Occupancy Environments
-
Christian Sonnabend
(CERN, Heidelberg University (DE))
|
|
14:45
|
Distributed Reconstruction in FPGAs and ASICs for Trigger Systems
-
André David
(CERN)
|
|
14:50
|
Common-mode noise rejection for the Phase 2 CMS HGCAL
-
Arne Christoph Reimers
(CERN)
|
|
14:55
|
AI-Enabled Custom Chips for Front-End and Back-End Electronics in HEP Experiments
-
Sioni Paris Summers
(CERN)
|
|
15:00
|
Anomaly Detection in the CMS Level 1 Trigger (Run 3 & Phase 2)
-
Maciej Mikolaj Glowacki
(CERN)
|
|
15:05
|
LLM-based Reasoning tools for front-end and back-end processing algorithm design
-
Maurizio Pierini
(CERN)
|
|
15:10
|
ML Anomaly detection Triggers with Continuous Flows and Vector Field-based algorithm
-
Francesco Vaselli
(Scuola Normale Superiore & INFN Pisa (IT))
Maurizio Pierini
(CERN)
|
|
15:15
|
CMS: Anomaly detection and event classification with transformers for L1 Scouting on Versal AI engine
-
Elias Leutgeb
(CERN)
|
|
15:20
|
Unsupervised Anomaly Detection for the Trigger
-
Thorsten Wengler
(CERN)
Markus Elsing
(CERN)
Ioannis Xiotidis
(CERN)
|
|
15:25
|
Super resolution models for offline-like reconstruction in the scouting stream
-
Sebastian Wuchterl
(CERN)
|
|
15:30
|
ML in the CMS Phase 2 Level 1 Trigger
-
Sioni Paris Summers
(CERN)
|
|
15:35
|
Hit-based flavour tagging applications at trigger level using AI/DL
-
Markus Elsing
(CERN)
Lorenzo Santi
(CERN)
|
|
15:40
|
Enhancing Classical Trigger Algorithms with Machine Learning
-
Thorsten Wengler
(CERN)
Ioannis Xiotidis
(CERN)
|
|
15:45
|
GPU (de)compression
-
Jolly Chen
(CERN & University of Twente (NL))
|
|
15:50
|
Edge SpAIce
-
Sioni Paris Summers
(CERN)
|
|
16:00
|
--- Coffee Break ---
|
|
16:20
|
Large Language Models-based assistants
(until 17:50)
|
|
16:20
|
GINO: a Grid-INtelligent Operator for Monte Carlo and Analysis
-
Maximiliano Puccio
(CERN)
|
|
16:25
|
AI Chatbot for the ALICE O² Bookkeeping System
- Mr
George Raduta
(CERN)
|
|
16:30
|
AI Assistant for ATLAS operations and beyond
-
Carlos Solans Sanchez
(CERN)
|
|
16:35
|
AI-assisted Coding Tools for LHCb
-
Titus Mombächer
(University of Cincinnati (US))
|
|
16:40
|
AI for training and documentation at LHCb
- Dr
Nicole Skidmore
(University of Warwick)
|
|
16:45
|
LHCb Analysis Chatbot
- Dr
Nicole Skidmore
(University of Warwick)
|
|
16:50
|
LLM for HEP co-pilot
-
Georgios Karathanasis
(CERN)
|
|
16:55
|
Proposal for a working group to develop AI for scientific writing at CERN
-
Micha Moskovic
(CERN)
|
|
17:00
|
Streamlining Technology Support of Distributed HEP Communities
- Dr
Maria Arsuaga Rios
(CERN)
|
|
17:05
|
Federated learning towards a common CERN chatbot
-
Maurizio Pierini
(CERN)
|
|
17:10
|
A multi-agent system for LHCb computing operations
-
Alexandre Franck Boyer
(CERN)
|
|
17:15
|
AI-Powered development tools: adoption challenges and access framework
-
Ismael Posada Trobo
(CERN)
|
|
17:20
|
Catalog and infrastructure for LLM serving and fine-tuning
-
Ricardo Rocha
(CERN)
|
|
17:25
|
Systematic Assessment of Common LLMs wrt. HEP Analysis Codes
-
Danilo Piparo
(CERN)
|
|
17:30
|
LLM compression
-
Maurizio Pierini
(CERN)
|
|
17:35
|
Operational Intelligence for Computing Operations, enabled by Generative AI
-
Panos Paparrigopoulos
(CERN)
Alessandro Di Girolamo
(CERN) Dr
Maria Arsuaga Rios
(CERN)
|
|
17:40
|
Training and Education
(until 18:00)
|
|
17:40
|
STEAM Academy: a multi-year training backbone for Machine Learning at CERN
-
Felice Pantaleo
(CERN)
|
|
17:45
|
Courses and best practices for ML development and operations (MLOps)
-
Ricardo Rocha
(CERN)
Raulian-Ionut Chiorescu
|
|
17:50
|
mPP tutorials
-
Maurizio Pierini
(CERN)
|
|
17:55
|
AI sprint at CERN
-
Dolores Garcia
(CERN)
|