Aueaphum Aueawatthanaphisut

MedRLM transforms clinical decision support by enabling recursive reasoning over complex patient data, significantly enhancing diagnostic accuracy and referral efficiency.

LLM-orchestrated multi-agent systems can revolutionize BDaaS by providing a trustworthy, adaptive framework that outperforms traditional methods in lifecycle reliability and governance.

A neuro-symbolic governor enables robots to make safer decisions by combining transformer-based ethical reasoning with a continuous risk metric, outperforming purely data-driven safety filters in interpretability and real-time performance.