CEA describes UFOund AI tool for tracking particles in WEST fusion plasma
France’s CEA described UFOund on 15 October, an AI tool that automatically detects particles in infrared images from the WEST tokamak. Developed by CEA-IRFM, it analyses views from 12 wall-protection cameras after experiments and records particle locations and trajectories.
Source review period:
Published: · Updated:
The source does not state the event date; the period shown is the source review period.
Debris from wall erosion can cool the plasma and cause disruptions. The roughly 35% share cited by CEA refers to disruptions during WEST’s March–April 2023 campaign, not a 2026 result. The announcement draws on research published in 2025; it does not claim that the tool solves commercial fusion power generation.
Data
UFOund research tool description
WEST post-experiment image analysis
- · Occurred
UFOund research tool description
WEST post-experiment image analysis
Methodology
Records 15 October institutional publication; the 2023 disruption share is not treated as a current result or model accuracy rate.
Updated:
Subjects and places
Subject proposals
- Artificial intelligenceSuggested
- Subject suggested from the title or summary: AIwww.cea.fr ↗
Geographic references
Only source-provided geographic references are shown. Opening an external map is optional. Optional story maps use OpenStreetMap. Opening a map sends your IP address and this site’s address to the map provider; location data remains readable as text without loading the map.
- France · Place role: Coverage · Place type: Country or area · Location precision: RegionalEvidence
- Explicit preserved editorial country/region; no city or national centroid inferredwww.cea.fr ↗