We focus on developing autonomous AI agents capable of learning, reasoning, and decision-making across diverse domains.
Research on agents that can process and understand text, images, audio, and other data modalities.
Developing agents capable of natural, coherent dialogue and enhanced human-AI interaction.
Exploring methods for agents to learn optimal behaviors through environmental interaction and feedback.
Our research translates into practical solutions across healthcare, finance, education, and manufacturing.
AI agents assisting in medical diagnosis, personalized treatment planning, and healthcare resource optimization.
Risk assessment, fraud detection, and personalized investment advisory services.
Our interdisciplinary team combines expertise in AI, machine learning, cognitive science, and engineering.
PhD-level experts from top universities including Stanford, MIT, and Carnegie Mellon.
Published in top-tier conferences including NeurIPS, ICML, ACL, and CVPR.
Recognition from ACM, IEEE, AAAI, and other prestigious scientific organizations.