基本信息
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职业迁徙
个人简介
Our lab seeks the ingredients of intelligence. We use advances in machine intelligence to better understand human intelligence, and use insights from human intelligence to develop more fruitful kinds of machine intelligence.
In our pursuits, we focus on human cognitive abilities that elude the best AI systems. While there are many to choose from, our recent projects focus on the human abilities to learn new concepts from just a few examples, learn by asking questions, learn by generating new goals, and learn by producing novel combinations of known components. Our technical focus includes meta-learning, neuro-symbolic modeling, and machine learning from a child’s headcam video to learn through their “eyes and ears.”
In our pursuits, we focus on human cognitive abilities that elude the best AI systems. While there are many to choose from, our recent projects focus on the human abilities to learn new concepts from just a few examples, learn by asking questions, learn by generating new goals, and learn by producing novel combinations of known components. Our technical focus includes meta-learning, neuro-symbolic modeling, and machine learning from a child’s headcam video to learn through their “eyes and ears.”
研究兴趣
论文共 75 篇作者统计合作学者相似作者
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期刊级别
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CoRR (2024)
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arXiv (Cornell University)no. 3 (2024): 271-283
Cognition (2024): 105711-105711
Sreejan Kumar,Raja Marjieh, Byron Zhang, Declan Campbell,Michael Y. Hu,Umang Bhatt,Brenden Lake,Thomas L. Griffiths
CoRR (2024)
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CoRR (2024)
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NATURE MACHINE INTELLIGENCE (2024)
Scienceno. 6682 (2024): 504-511
Cognition (2024): 105690-105690
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