公开(公告)号：US20180300556A1

公开(公告)日：2018-10-18

申请号：US15488555

申请日：2017-04-17

Applicant: Intel Corporation

Inventor： MAYURESH M. VARERKAR ,  BARNAN DAS ,  NARAYAN BISWAL ,  STANLEY J. BARAN ,  GOKCEN CILINGIR ,  NILESH V. SHAH ,  ARCHIE SHARMA ,  SHERINE ABDELHAK ,  SACHIN GODSE ,  FARSHAD AKHBARI ,  NARAYAN SRINIVASA ,  ALTUG KOKER ,  NADATHUR RAJAGOPALAN SATISH ,  DUKHWAN KIM ,  FENG CHEN ,  ABHISHEK R. APPU ,  JOYDEEP RAY ,  PING T. TANG ,  MICHAEL S. STRICKLAND ,  XIAOMING CHEN ,  ANBANG YAO ,  TATIANA SHPEISMAN ,  Vasanth Ranganathan ,  Sanjeev Jahagirdir

IPC: G06K9/00 ,  G06T1/20

CPC classification number: G06K9/00771 ,  G06K9/00362 ,  G06K9/00711 ,  G06K2009/00738 ,  G06T1/20

Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.

公开(公告)号：US20220278696A1

公开(公告)日：2022-09-01

申请号：US17750134

申请日：2022-05-20

Applicant: INTEL CORPORATION

Inventor： JUSTIN HOGABOAM ,  NARAYAN SRINIVASA

IPC: H03M13/15 ,  G06N3/08 ,  H03M13/00 ,  G06N10/00 ,  G06N3/063 ,  G06N3/04

Abstract: Apparatus and method for neural network learning to detect and correct quantum errors. For example, one embodiment of an apparatus comprises. For example, one embodiment of an apparatus comprises: a quantum processor comprising one or more data quantum bits (qbits) and one or more ancilla qbits; an error decoder to decode a state of at least one of the ancilla qbits to generate an error syndrome related to one or more qbit errors; a neural network to evaluate the error syndrome and to either identify a known corrective response for correcting the error or to perform unsupervised learning to identify a corrective response to the error syndrome.

公开(公告)号：US20190332869A1

公开(公告)日：2019-10-31

申请号：US16379176

申请日：2019-04-09

Applicant: Intel Corporation

Inventor： MAYURESH M. VARERKAR ,  BARNAN DAS ,  NARAYAN BISWAL ,  STANLEY J. BARAN ,  GOKCEN CILINGIR ,  NILESH V. SHAH ,  ARCHIE SHARMA ,  SHERINE ABDELHAK ,  SACHIN GODSE ,  FARSHAD AKHBARI ,  NARAYAN SRINIVASA ,  ALTUG KOKER ,  NADATHUR RAJAGOPALAN SATISH ,  DUKHWAN KIM ,  FENG CHEN ,  ABHISHEK R. APPU ,  JOYDEEP RAY ,  PING T. TANG ,  MICHAEL S. STRICKLAND ,  XIAOMING CHEN ,  ANBANG YAO ,  TATIANA SHPEISMAN ,  VASANTH RANGANATHAN ,  SANJEEV JAHAGIRDAR

IPC: G06K9/00 ,  G06N3/063 ,  G06T1/20 ,  G06N3/08 ,  G06N3/04

Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.