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公开(公告)号：US20210020166A1
公开(公告)日：2021-01-21
申请号：US16516849
申请日：2019-07-19
发明人： Jinyu Li , Amit Kumar Agarwal , Yifan Gong , Harini Kesavamoorthy
摘要： Streaming machine learning unidirectional models is facilitated by the use of embedding vectors. Processing blocks in the models apply embedding vectors as input. The embedding vectors utilize context of future data (e.g., data that is temporally offset into the future within a data stream) to improve the accuracy of the outputs generated by the processing blocks. The embedding vectors cause a temporal shift between the outputs of the processing blocks and the inputs to which the outputs correspond. This temporal shift enables the processing blocks to apply the embedding vector inputs from processing blocks that are associated with future data.
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公开(公告)号：US11244673B2
公开(公告)日：2022-02-08
申请号：US16516849
申请日：2019-07-19
发明人： Jinyu Li , Amit Kumar Agarwal , Yifan Gong , Harini Kesavamoorthy , Changliang Liu , Liang Lu
IPC分类号： G10L15/16 , G10L15/14 , G06F40/149 , G06N3/04
摘要： Streaming machine learning unidirectional models is facilitated by the use of embedding vectors. Processing blocks in the models apply embedding vectors as input. The embedding vectors utilize context of future data (e.g., data that is temporally offset into the future within a data stream) to improve the accuracy of the outputs generated by the processing blocks. The embedding vectors cause a temporal shift between the outputs of the processing blocks and the inputs to which the outputs correspond. This temporal shift enables the processing blocks to apply the embedding vector inputs from processing blocks that are associated with future data.
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公开(公告)号：US11688399B2
公开(公告)日：2023-06-27
申请号：US17115293
申请日：2020-12-08
发明人： Adi Diamant , Karen Master Ben-Dor , Eyal Krupka , Raz Halaly , Yoni Smolin , Ilya Gurvich , Aviv Hurvitz , Lijuan Qin , Wei Xiong , Shixiong Zhang , Lingfeng Wu , Xiong Xiao , Ido Leichter , Moshe David , Xuedong Huang , Amit Kumar Agarwal
CPC分类号： G10L15/26 , G06V40/172 , G10L17/00 , H04N7/15
摘要： A method for facilitating a remote conference includes receiving a digital video and a computer-readable audio signal. A face recognition machine is operated to recognize a face of a first conference participant in the digital video, and a speech recognition machine is operated to translate the computer-readable audio signal into a first text. An attribution machine attributes the text to the first conference participant. A second computer-readable audio signal is processed similarly, to obtain a second text attributed to a second conference participant. A transcription machine automatically creates a transcript including the first text attributed to the first conference participant and the second text attributed to the second conference participant.
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公开(公告)号：US09971710B2
公开(公告)日：2018-05-15
申请号：US13761882
申请日：2013-02-07
CPC分类号： G06F13/1615 , G06F3/0647 , G09G5/001 , G09G5/39 , G09G2360/127
摘要： Embodiments are directed to optimizing data transfers between heterogeneous memory arenas. In one scenario, a computer system receives an indication that a data chunk is to be transferred from a first memory arena to a third memory arena, and then determines that for the data chunk to be transferred from the first memory arena to the third arena, the data chunk is to be transferred from the first memory arena to a second memory arena, and from the second memory arena to the third memory arena. The computer system divides the data chunk into smaller data portions and copies a first data portion from the first memory arena to the second memory arena. The computer system then copies the first data portion from the second memory arena to the third memory arena and copies a second data portion from the first memory arena to the second memory arena in parallel.
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