2 papers
cs.LG2026
Active Learning Strategies for Efficient Machine-Learned Interatomic Potentials Across Diverse Material Systems
Mohammed Azeez Khan, Aaron D'Souza, Vijay Choyal
Efficient materials discovery requires reducing costly first-principles calculations for training machine-learned interatomic potentials (MLIPs). We develop an active learning (AL)…
cs.IR2024
Overcoming LLM Challenges using RAG-Driven Precision in Coffee Leaf Disease Remediation
Selva Kumar S, Afifah Khan Mohammed Ajmal Khan, Imadh Ajaz Banday +2
This research introduces an innovative AI-driven precision agriculture system, leveraging YOLOv8 for disease identification and Retrieval Augmented Generation (RAG) for context-awa…