Artificial Intelligence

Projects portfolio

Innovative AI projects to accelerate scientific discovery

Fermilab scientists are pushing the boundaries of discovery through innovative projects combining cutting-edge technology, artificial intelligence and deep scientific expertise. From real-time data analysis and intelligent detectors to scalable computing and machine learning simulations, these efforts are transforming how researchers explore the universe.

Below is a selection of current projects that highlight Fermilab’s commitment to pushing the boundaries of discovery and accelerating scientific progress. Click to learn more.

  • AI chatbot
    AI chatbot to improve accelerator operations
  • Aspen Open Jets
    Merging data and simulation for machine learning
  • AXOL1TL
    Finding anomalous physics events at the Large Hadron Collider
  • CaloDiffusion
    AI models speed up particle simulations at the High-Luminosity Large Hadron Collider
  • hls4ml
    An open-source framework to make neural networks hardware-ready
  • Many-jet event generation
    Making complex physics simulation more efficient
  • MicroBooNE public datasets
    Advancing AI/ML research with Fermilab’s public datasets
  • NuGraph
    New AI tool to reconstruct neutrino events
  • Quantifying Uncertainty in AI
    Research toward reliable uncertainty quantification
  • READS
    Using AI to diagnose beam loss in real time
  • SIDDA
    Using domain adaptation to increase AI model robustness
  • Smartpixels
    AI-enabled detectors for faster particle tracking in physics experiments
  • SuperSONIC
    Inference-as-a-service for offloading AI computing