Hybrid Architectures & Lightweight Optimization | Machine Intelligence & Neural Dynamics
Halo Mind is a distributed & Inter-Disciplinary AI research group focused on engineering hardware-efficient neural mechanisms, optimized architectures, and much more... Our core mandate is bridging continuous physical dynamics with discrete neural computation to deploy robust architectures in mission-critical, harsh environments.
Our architectural focus centers on:
- Sub-Quadratic Sequence Modeling (SSM's)
- Deep Learning Architectures
- Space AI
- Medical Vision
- OCR
- Distribution-Free Uncertainty Quantification
& much more...
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Space Weather & Remote Sensing: Deploying CNN-DDL frameworks with dynamic
$\Delta$ -gates for zero-shot solar cycle generalization and aerospace defect detection. - Volumetric Medical Imaging: Formulating geometric residual learning blocks to resolve representation drift in 3D State Space Models for concentric cardiac segmentation.
- Ancient Epigraphy & Complex Vision: Engineering end-to-end self-supervised OCR pipelines (SimCLR + WGAN-GP) for highly degraded historical scripts.
Full Portfolio & Publications: halomind-research.github.io
Contact: halomind.research.group@gmail.com
