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Research Highlights

ECO: Evolutionary Cellular Optimisation

Hyperparameter generation and tuning via Holland–von Neumann (HvN) landscapes. Applied across computer vision, medical imaging, NLP and LLMs, autonomous driving, and structured document processing.

Submitted

#CellularAutomata

#HPO

LoRA Fine-tuning with ECO

LlaMA model adaptation on Natural Questions under optimiser-driven control (ECO vs Optuna). Deployed on 8×H100s. Deterministic evaluation metrics enable robust comparison across high-volume tuning cycles.

In Progress

#LoRA

#LLaMA3