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Taesiri AI

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About

Taesiri AI is an initiative led by Mohammad Reza Taesiri, a third-year Ph.D. student at the University of Alberta, specializing in the intersection of computer vision, explainable machine learning, and video games. The project emphasizes research in applying foundation models to real-world issues, including video game testing and quality control. The AI tool showcases several research publications that delve into video game glitch detection, the effectiveness of vision language models, and AI robustness through visual correspondence-based explanations, aligning closely with contemporary advancements in machine learning and computer vision techniques. The focus is on creating vision assistants for video games and leveraging AI to enhance gameplay experience and quality.

Platform
Web
Keywords
gamingcomputer visionai researchexplainable aivideo games
Task
research analysis
Features

explainable machine learning

computer vision applications

foundation models in gaming

video game quality control

research in ai robustness

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