Advances in Machine Learning & Artificial Intelligence(AMLAI)

PassmoreLab, Austin, Texas, USA

Publications

• Research Article   
  A Unified ISR World Model: Vossels, Voxels, Mipvols, and Reinforcement Learning
  Author(s): Greg Passmore*
  
  ISR enterprises must integrate measurements from many sensing modalities, radar, EO/IR, LiDAR, SIGINT, acoustics, cyber, weather, and jamming, each with its own resolution, structure, and format. Traditional systems often discard richness by reducing inputs to tracks, maps, or occasional images, leaving little for machine learning to exploit. This paper introduces Vossels (Volumetric Singular Spectral Elements), which were designed to address sensor discordance by storing raw sensor data in a unified atomic structure, ensuring that the full information content is preserved for artificial intelligence and reinforcement learning. A Vossel encodes (x, y, z, t, λi , aj ) as a singular volumetric spectral element, capturing space, time, spectral channels, and auxiliary attributes. Integrated into voxel grids and mipvol hierarchies, Vossels support multiresolution storage, .. Read More»
  

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