# MLOps and Continual Learning for LHC Hardware Triggers

- Institution: CERN
- Speaker: Maksymilian Artur Moskwytyn
- Year: 2026
- Language: English
- Source: [CERN](https://videos.cern.ch/record/3026712)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

**Project Description**: This project develops a reproducible, hardware-aware MLOps pipeline for optimizing neural-network models for LHC hardware triggers. It combines automated architecture and quantization search, experiment tracking, physics-level validation, and FPGA deployment, with a reusable workflow demonstrated on an MHA-based minimum-bias anomaly-detection use case.

**Supervisor**: Ioannis Xiotidis

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## Lectures

1. [MLOps and Continual Learning for LHC Hardware Triggers](https://invisiblenetwork.ai/learn/cern/3026712/2fc2f37569e1), 5 min (CERN's player)