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Complex sequential understanding through the awareness of spatial and temporal concepts

Pang, B; Zha, KW; Cao, HW; Tang, JJ; Yu, MH; Lu, CW

Lu, CW (corresponding author), Shanghai Jiao Tong Univ, Shanghai, Peoples R China.; Lu, CW (corresponding author), Shanghai Jiao Tong Univ, Comp Sci & Engn CSE, Shanghai, Peoples R China.; Lu, CW (corresponding author), Shanghai Jiao Tong Univ, AI Inst, MoE Key Lab Artificial Intelligence, Shanghai, Peoples R China.; Lu, CW (corresponding author), Shanghai Jiao Tong Univ, Qing Yuan Res Inst, Shanghai, Peoples R China.

NATURE MACHINE INTELLIGENCE, 2020; 2 (5): 245

Abstract

Understanding sequential information is a fundamental task for artificial intelligence. Current neural networks attempt to learn spatial and temporal ......

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