Lab Reports
Whitepapers and research publications
Latest Publications
Peer-reviewed papers, technical whitepapers, and applied research reports from the Aximora AI Lab.
Scaling Multimodal Foundation Models for Industrial Inspection
A comprehensive study on adapting vision-language models to manufacturing quality control, achieving state-of-the-art defect detection across 14 material types with minimal fine-tuning.
Privacy-Preserving Federated Learning in Healthcare Networks
Novel secure aggregation protocols enabling multi-hospital model training while maintaining HIPAA compliance and achieving diagnostic accuracy within 2% of centralized approaches.
Sub-Watt Neural Architectures for Edge Deployment
Hardware-aware neural architecture search yielding models that run inference under 500mW on ARM Cortex-M class processors, enabling always-on AI in battery-powered IoT devices.
Causal Inference for Explainable Supply Chain Optimization
Integrating causal discovery with reinforcement learning to produce supply chain decisions that are both optimal and human-interpretable, validated across 8 global logistics networks.
Real-Time Digital Twin Synchronization at Scale
A distributed event-driven architecture for maintaining sub-second synchronization between physical assets and their digital twins across 50,000+ concurrent IoT endpoints.
Domain-Adaptive Large Language Models for Enterprise Knowledge
Efficient domain adaptation techniques for enterprise LLMs using retrieval-augmented generation and parameter-efficient fine-tuning, reducing hallucination rates by 85% in specialized knowledge domains.
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