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个人简介
His current research focuses on methods for evaluating the capabilities of AI systems, neuro-symbolic approaches to AI, and brain-inspired AI architectures.
In earlier work, Murray conducted research in:
Smarter Workforce: Applications of machine learning, forecasting and optimization to a broad range of workforce management problems
Multimedia: Indexing and search of multimedia data
Anomaly Detection: Detecting early warning signs of anomalous behavior in sensor streams, public health data, and finance.
In his first project at IBM Research, Murray was a member of the team that developed Deep Blue, the first computer to defeat the reigning world chess champion in a regulation match.
In earlier work, Murray conducted research in:
Smarter Workforce: Applications of machine learning, forecasting and optimization to a broad range of workforce management problems
Multimedia: Indexing and search of multimedia data
Anomaly Detection: Detecting early warning signs of anomalous behavior in sensor streams, public health data, and finance.
In his first project at IBM Research, Murray was a member of the team that developed Deep Blue, the first computer to defeat the reigning world chess champion in a regulation match.
研究兴趣
论文共 139 篇作者统计合作学者相似作者
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Conference of the European Chapter of the Association for Computational Linguisticspp.394-405, (2024)
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MACHINE LEARNING, OPTIMIZATION, AND DATA SCIENCE, LOD 2022, PT II (2023): 502-509
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arXiv (Cornell University) (2022)
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International Workshop on Neural-Symbolic Learning and Reasoning (NeSy)pp.171-185, (2022)
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Kinjal Basu,Keerthiram Murugesan,Mattia Atzeni,Pavan Kapanipathi, Kartik, Talamadupula,Tim Klinger,Murray Campbell,Mrinmaya Sachan,Gopal Gupta
semanticscholar(2021)
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N. Egidos,R. Ballabriga, F. Bandi,M. Campbell,D. Gascon,S. Gomez, J.M. Fernandez-Tenllado, X. Llopart, R. Manera,J. Mauricio,D. Sanchez,A. Sanmukh,
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