Knowledge Core
Applied Research.
We focus on compiling validated investigations for clinical compute, computer vision, and secure network infrastructure.
DIR-01
Clinical Segmentations
Investigating spatial segmentation, segmentation boundaries, and diagnostic imaging alignments for clinical support.
Focus Areas
- ·Spatial boundary nets
- ·High-res scan alignment
- ·Inference speed optimization
DIR-02
Model Optimization
Finetuning machine learning models to run efficiently on local/edge nodes with reduced GPU and RAM configurations.
Focus Areas
- ·Weight quantization
- ·Pruning techniques
- ·Local inference endpoints
DIR-03
Computer Vision
Developing robust algorithms for object tracking, depth estimation, and spatial mapping.
Focus Areas
- ·Depth estimation
- ·Spatial modeling
- ·Real-time edge classification
DIR-04
ML Systems Architecture
Designing low-latency, scalable pipelines for model training and real-time inference.
Focus Areas
- ·Distributed training structures
- ·Feature store setups
- ·Real-time monitoring gateways
DIR-05
Data Pipelines
Structuring automated pipelines for secure data extraction, cleaning, and preprocessing.
Focus Areas
- ·Data validation checks
- ·Parallel processing pipelines
- ·Secure metadata warehouses
DIR-06
Cloud Infrastructure
Engineering secure, automated network configurations and infrastructure setups.
Focus Areas
- ·Terraform deployments
- ·Self-healing Kubernetes clusters
- ·Multi-region fallback patterns