Falcon Dai Research Portfolio
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About
Falcon Dai is an accomplished AI researcher with a PhD in computer science specializing in reinforcement learning from TTI-Chicago. His extensive research interests include reinforcement learning (optimism, regret, safety), meaning and interpretation (semiotics, semantics), social implications of machine learning, 3D computer vision, language modeling, robotics, and human cortical processing of language. The website serves as a portfolio, showcasing his numerous publications in top-tier conferences like NeurIPS and AAAI, working papers, and selected presentations. It also highlights past projects, including software for ECoG electrode registration, a Twitter data analytics project, and a Chrome extension. He currently works as a researcher at Symbolica AI.
Platform
Features
• twitter data analytics
• ecog electrode registration software
• algorithmic safeguards research
• 3d computer vision for depth data
• robotics and imitation learning
• near-imperceptible steganographic text
• language modeling and generation
• reinforcement learning research
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