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公开(公告)号:US20210256272A1
公开(公告)日:2021-08-19
申请号:US17174864
申请日:2021-02-12
Applicant: Intel Corporation
Inventor: Jeremie Dreyfuss , Amit Bleiweiss , Lev Faivishevsky , Tomer Bar-On , Yaniv Fais , Jacob Subag , Eran Ben-Avi , Neta Zmora , Tomer Schwartz
Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to save one or more outputs of a deep learning neural network in a storage system of an autonomous vehicle and upload the one or more outputs to a remote server. Other embodiments are also disclosed and claimed.
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公开(公告)号:US11037330B2
公开(公告)日:2021-06-15
申请号:US15482725
申请日:2017-04-08
Applicant: Intel Corporation
Inventor: Tomer Bar-On , Jacob Subag , Yaniv Fais , Jeremie Dreyfuss , Gal Novik , Gal Leibovich , Tomer Schwartz , Ehud Cohen , Lev Faivishevsky , Uzi Sarel , Amitai Armon , Yahav Shadmiy
IPC: G06T9/00 , H04N19/42 , G06N3/04 , H04N19/436 , G06N3/08
Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to implement a lossy compression algorithm which utilizes a data transform and quantization process to compress data in a convolutional neural network (CNN) layer. Other embodiments are also disclosed and claimed.
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53.
公开(公告)号:US20210049804A1
公开(公告)日:2021-02-18
申请号:US17006253
申请日:2020-08-28
Applicant: Intel Corporation
Inventor: Uzi Sarel , Ehud Cohen , Tomer Schwartz , Amitai Armon , Yahav Shadmiy , Itamar Ben-Ari , Amit Bleiweiss , Lev Faivishevsky , Tomer Bar-On , Yaniv Fais , Jacob Subag , Michael Behar , Guy Jacob , Gal Leibovich , Jeremie Dreyfuss
Abstract: In an example, an apparatus comprises a plurality of execution units; and logic, at least partially including hardware logic, to determine a sub-graph of a network that can be executed in a frequency domain and apply computations in the sub-graph in the frequency domain. Other embodiments are also disclosed and claimed.
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公开(公告)号:US10922556B2
公开(公告)日:2021-02-16
申请号:US15499889
申请日:2017-04-28
Applicant: Intel Corporation
Inventor: Jeremie Dreyfuss , Amit Bleiweiss , Lev Faivishevsky , Tomer Bar-On , Yaniv Fais , Jacob Subag , Eran Ben-Avi , Neta Zmora , Tomer Schwartz
Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to save one or more outputs of a deep learning neural network in a storage system of an autonomous vehicle and upload the one or more outputs to a remote server. Other embodiments are also disclosed and claimed.
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公开(公告)号:US10853035B2
公开(公告)日:2020-12-01
申请号:US16833128
申请日:2020-03-27
Applicant: Intel Corporation
Inventor: Yaniv Fais , Tomer Bar-On , Jacob Subag , Jeremie Dreyfuss , Lev Faivishevsky , Michael Behar , Amit Bleiweiss , Guy Jacob , Gal Leibovich , Itamar Ben-Ari , Galina Ryvchin , Eyal Yaacoby
Abstract: In an example, an apparatus comprises a plurality of execution units and logic, at least partially including hardware logic, to gate at least one of a multiply unit or an accumulate unit in response to an input of value zero. Other embodiments are also disclosed and claimed.
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公开(公告)号:US10372416B2
公开(公告)日:2019-08-06
申请号:US15499893
申请日:2017-04-28
Applicant: Intel Corporation
Inventor: Yaniv Fais , Tomer Bar-On , Jacob Subag , Jeremie Dreyfuss , Lev Faivishevsky , Michael Behar , Amit Bleiweiss , Guy Jacob , Gal Leibovich , Itamar Ben-Ari , Galina Ryvchin , Eyal Yaacoby
Abstract: In an example, an apparatus comprises a plurality of execution units and logic, at least partially including hardware logic, to gate at least one of a multiply unit or an accumulate unit in response to an input of value zero. Other embodiments are also disclosed and claimed.
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公开(公告)号:US20190102671A1
公开(公告)日:2019-04-04
申请号:US15720982
申请日:2017-09-29
Applicant: Intel Corporation
Inventor: Ehud Cohen , Moshe Maor , Ashutosh Parkhi , Michael Behar , Yaniv Fais
Abstract: A convolutional neural network (CNN) accelerator, including: a CNN circuit for performing a multiple-layer CNN computation, wherein the multiple layers are to receive an input feature according to an input feature map (IFM) and a weight matrix per output feature, wherein an output of a first layer provides an input for a next layer; and a mapping circuit to access a three-dimensional input matrix stored as a Z-major matrix; wherein the CNN circuit is to perform an inner-product direct convolution on the Z-major matrix, wherein the direct convolution lacks a lowering operation.
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公开(公告)号:US20180314934A1
公开(公告)日:2018-11-01
申请号:US15499900
申请日:2017-04-28
Applicant: Intel Corporation
Inventor: Eran Ben-Avi , Neta Zmora , Guy Jacob , Lev Faivishevsky , Jeremie Dreyfuss , Tomer Bar-On , Jacob Subag , Yaniv Fais , Shira Hirsh , Orly Weisel , Zigi Walter , Yarden Oren
Abstract: In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to traverse a solution space, score a plurality of solutions to a scheduling deep learning network execution, and select a preferred solution from the plurality of solutions to implement the deep learning network. Other embodiments are also disclosed and claimed.
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公开(公告)号:US20180314932A1
公开(公告)日:2018-11-01
申请号:US15499898
申请日:2017-04-28
Applicant: Intel Corporation
Inventor: Tomer Schwartz , Ehud Cohen , Uzi Sarel , Amitai Armon , Yaniv Fais , Lev Faivishevsky , Amit Bleiweiss , Yahav Shadmiy , Jacob Subag
CPC classification number: G06N3/06 , G06N3/0454
Abstract: In an example, an apparatus comprises a plurality of execution units and logic, at least partially including hardware logic, to generate synthetic data for a generative adversarial network (GAN) using the plurality of execution units. Other embodiments are also disclosed and claimed.
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公开(公告)号:US20180314899A1
公开(公告)日:2018-11-01
申请号:US15499889
申请日:2017-04-28
Applicant: Intel Corporation
Inventor: Jeremie Dreyfuss , Amit Bleiweiss , Lev Faivishevsky , Tomer Bar-On , Yaniv Fais , Jacob Subag , Eran Ben-Avi , Neta Zmora , Tomer Schwartz
Abstract: In an example, an apparatus comprises logic, at least partially including hardware logic, to save one or more outputs of a deep learning neural network in a storage system of an autonomous vehicle and upload the one or more outputs to a remote server. Other embodiments are also disclosed and claimed.
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