Real Time
Real-time processing focuses on developing systems capable of analyzing and responding to data instantaneously, crucial for applications demanding immediate feedback. Current research emphasizes efficient algorithms and model architectures, such as those based on deep learning, to reduce computational latency in diverse domains including robotics, healthcare, and AI-assisted tutoring. This field's advancements are driving progress in areas like autonomous navigation, personalized healthcare monitoring, and human-computer interaction, enabling more responsive and effective systems.
Papers
August 10, 2023
August 9, 2023
August 8, 2023
Real-Time Progressive Learning: Accumulate Knowledge from Control with Neural-Network-Based Selective Memory
Yiming Fei, Jiangang Li, Yanan Li
Fourier neural operator for real-time simulation of 3D dynamic urban microclimate
Wenhui Peng, Shaoxiang Qin, Senwen Yang, Jianchun Wang, Xue Liu, Liangzhu Leon Wang
August 2, 2023
July 27, 2023
July 24, 2023
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July 15, 2023
July 11, 2023
July 2, 2023
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June 26, 2023
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June 15, 2023
June 12, 2023