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Honglak Lee
Six new projects funded by LG AI Research
The projects are a part of LG’s mission to advance AI such as Deep Reinforcement Learning, 3D Scene Understanding, and Reasoning with a Large-scale Language Model and Bias & Fairness related to AI ethics.LG AI Research opens North American Artificial Intelligence Research Center in Ann Arbor with strong ties to U-M
The LG AI Research Center, and its partnership with U-M, represents a commitment by LG to become a leader in developing advanced AI technologies.Student to deliver invited talk on future directions in deep reinforcement learning
Wilka Carvalho assesses what may be necessary to enable deep RL agents to become helpful companions in society.Seven papers by CSE researchers presented at AAAI 2021
Twelve students and faculty co-authored papers spanning several key application areas for AI.
CSE researchers present 9 papers at leading AI conference
The students and faculty submitted projects spanning several key application areas for AI.Exploring the source of social stereotypes
Carvalho plans to pursue research at the intersection of reinforcement learning, machine learning, and computational cognitive science.
CSE Graduate Student Xinchen Yan Selected for Rackham Predoctoral Fellowship and Google PhD Fellowship
Xinchen Yan was selected for both fellowships to support his research in machine learning and its application in computer vision, graphics and robotics.
Honglak Lee selected for Sloan Research Fellowship
His work impacts computer vision, audio recognition, robotics, text modeling, and healthcare.
U-M, IBM partner on advanced conversational computing system
The project aims to develop a cognitive system that functions as an academic advisor for undergraduate computer science and engineering majors at the university.
Cafarella and Lee named Morris Wellman Faculty Development Professors
The professorship is awarded to junior faculty members in recognition of outstanding contributions to teaching and research.
Honglak Lee Receives CAREER Award for Research in Advanced Deep Learning Techniques
The research outcomes will be distributed through publications, talks, and tutorials.