Patents by Inventor Amit Bleiweiss

Amit Bleiweiss has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20210256272
    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.
    Type: Application
    Filed: February 12, 2021
    Publication date: August 19, 2021
    Applicant: Intel Corporation
    Inventors: Jeremie Dreyfuss, Amit Bleiweiss, Lev Faivishevsky, Tomer Bar-On, Yaniv Fais, Jacob Subag, Eran Ben-Avi, Neta Zmora, Tomer Schwartz
  • Patent number: 11093822
    Abstract: In an example, an apparatus comprises a plurality of execution units comprising at least a first type of execution unit and a second type of execution unit and logic, at least partially including hardware logic, to expose embedded cast operations in at least one of a load instruction or a store instruction; determine a target precision level for the cast operations; and load the cast operations at the target precision level. Other embodiments are also disclosed and claimed.
    Type: Grant
    Filed: April 28, 2017
    Date of Patent: August 17, 2021
    Assignee: INTEL CORPORATION
    Inventors: Uzi Sarel, Ehud Cohen, Tomer Schwartz, Amitai Armon, Yahav Shadmiy, Amit Bleiweiss, Gal Leibovich, Jeremie Dreyfuss, Lev Faivishevsky, Tomer Bar-On, Yaniv Fais, Jacob Subag
  • Patent number: 11087206
    Abstract: A mechanism is described for facilitating memory handling and data management in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting multiple tables associated with multiple neural networks at multiple autonomous machines, where each of the multiple tables include an index. The method may further include combining the multiple tables and multiple indexes associated with the multiple tables into a single table and a single index, respectively, where the single table is communicated to the multiple autonomous machines to allow simultaneous processing of one or more portions of the single table using one or more memory devices and one or more processors of one or more of the multiple autonomous machines.
    Type: Grant
    Filed: April 28, 2017
    Date of Patent: August 10, 2021
    Assignee: INTEL CORPORATION
    Inventors: Tomer Schwartz, Ehud Cohen, Uzi Sarel, Amitai Armon, Yaniv Fais, Lev Faivishevsky, Amit Bleiweiss, Yahav Shadmiy, Jacob Subag
  • Patent number: 11079825
    Abstract: Apparatus, devices, systems, methods, and articles of manufacture are disclosed to allocate power in a computing device. An example system includes a compiler to: analyze power consumption behavior of power consumption units of the computing device; build a power profile; and generate source code with hints of the power profile. The example system includes a power control circuit to: develop a power policy using the hints of the power profile and requests for power licenses from the power consumption units of the computing device; and allocate power to the power consumption units based on the power profile.
    Type: Grant
    Filed: August 13, 2019
    Date of Patent: August 3, 2021
    Assignee: Intel Corporation
    Inventors: Anat Heilper, Eran Dagan, Amit Bleiweiss, Amit Gur
  • Patent number: 11048333
    Abstract: A system and method for close range object tracking are described. Close range depth images of a user's hands and fingers or other objects are acquired using a depth sensor. Using depth image data obtained from the depth sensor, movements of the user's hands and fingers or other objects are identified and tracked, thus permitting the user to interact with an object displayed on a screen, by using the positions and movements of his hands and fingers or other objects.
    Type: Grant
    Filed: March 6, 2018
    Date of Patent: June 29, 2021
    Assignee: Intel Corporation
    Inventors: Gershom Kutliroff, Yaron Yanai, Amit Bleiweiss, Shahar Fleishman, Yotam Livny, Jonathan Epstein
  • Publication number: 20210141604
    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.
    Type: Application
    Filed: November 24, 2020
    Publication date: May 13, 2021
    Applicant: Intel Corporation
    Inventors: 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
  • Publication number: 20210056768
    Abstract: Techniques are provided for generation of synthetic 3-dimensional object image variations for training of recognition systems. An example system may include an image synthesizing circuit configured to synthesize a 3D image of the object (including color and depth image pairs) based on a 3D model. The system may also include a background scene generator circuit configured to generate a background for each of the rendered image variations. The system may further include an image pose adjustment circuit configured to adjust the orientation and translation of the object for each of the variations. The system may further include an illumination and visual effect adjustment circuit configured to adjust illumination of the object and the background for each of the variations, and to further adjust visual effects of the object and the background for each of the variations based on application of simulated camera parameters.
    Type: Application
    Filed: September 4, 2020
    Publication date: February 25, 2021
    Applicant: INTEL CORPORATION
    Inventors: Amit Bleiweiss, Chen Paz, Ofir Levy, Itamar Ben-Ari, Yaron Yanai
  • Publication number: 20210049804
    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.
    Type: Application
    Filed: August 28, 2020
    Publication date: February 18, 2021
    Applicant: Intel Corporation
    Inventors: 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
  • Patent number: 10922556
    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.
    Type: Grant
    Filed: April 28, 2017
    Date of Patent: February 16, 2021
    Assignee: INTEL CORPORATION
    Inventors: Jeremie Dreyfuss, Amit Bleiweiss, Lev Faivishevsky, Tomer Bar-On, Yaniv Fais, Jacob Subag, Eran Ben-Avi, Neta Zmora, Tomer Schwartz
  • Patent number: 10853035
    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.
    Type: Grant
    Filed: March 27, 2020
    Date of Patent: December 1, 2020
    Assignee: INTEL CORPORATION
    Inventors: 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
  • Publication number: 20200327392
    Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed that optimize layers of a machine learning model for a target hardware platform. An example apparatus includes a communication processor to obtain information specific to the target hardware platform (THP) on which to execute the machine learning model; a layer generation controller to generate layers of the machine learning model based on the information specific to the THP; and a deployment controller to, in response to the machine learning model satisfying a threshold error metric, deploy the machine learning model to the THP.
    Type: Application
    Filed: June 26, 2020
    Publication date: October 15, 2020
    Inventor: Amit Bleiweiss
  • Publication number: 20200293282
    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.
    Type: Application
    Filed: March 27, 2020
    Publication date: September 17, 2020
    Applicant: Intel Corporation
    Inventors: 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
  • Patent number: 10769862
    Abstract: Techniques are provided for generation of synthetic 3-dimensional object image variations for training of recognition systems. An example system may include an image synthesizing circuit configured to synthesize a 3D image of the object (including color and depth image pairs) based on a 3D model. The system may also include a background scene generator circuit configured to generate a background for each of the rendered image variations. The system may further include an image pose adjustment circuit configured to adjust the orientation and translation of the object for each of the variations. The system may further include an illumination and visual effect adjustment circuit configured to adjust illumination of the object and the background for each of the variations, and to further adjust visual effects of the object and the background for each of the variations based on application of simulated camera parameters.
    Type: Grant
    Filed: August 2, 2018
    Date of Patent: September 8, 2020
    Assignee: Intel Corporation
    Inventors: Amit Bleiweiss, Chen Paz, Ofir Levy, Itamar Ben-Ari, Yaron Yanai
  • Patent number: 10762685
    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.
    Type: Grant
    Filed: October 31, 2019
    Date of Patent: September 1, 2020
    Assignee: INTEL CORPORATION
    Inventors: 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
  • Publication number: 20200225756
    Abstract: A system and method for close range object tracking are described. Close range depth images of a user's hands and fingers or other objects are acquired using a depth sensor. Using depth image data obtained from the depth sensor, movements of the user's hands and fingers or other objects are identified and tracked, thus permitting the user to interact with an object displayed on a screen, by using the positions and movements of his hands and fingers or other objects.
    Type: Application
    Filed: March 6, 2018
    Publication date: July 16, 2020
    Inventors: Gershom Kutliroff, Yaron Yanai, Amit Bleiweiss, Shahar Fleishman, Yotam Livny, Jonathan Epstein
  • Publication number: 20200169720
    Abstract: An activity recording system is provided. The activity recording system includes a three-dimensional camera, a sensor arrangement that is fitted to a subject being recorded, and an activity recording device. The activity recording device receives image information from the three-dimensional camera and sensor arrangement information from the sensor arrangement. Both the image information and the sensor arrangement information include location measurements. The sensor arrangement information is generated by location sensors that are positioned at target features of the subject to be tracked. The sensor arrangement information is a key to the image information that specifies where, in any given image, the target features of the subject lie. Activity data having these characteristics may be applied to solve a variety of system development problems. Such activity data can be used to training machine learning components or test computer vision components for a fraction of the cost of using conventional techniques.
    Type: Application
    Filed: January 30, 2020
    Publication date: May 28, 2020
    Applicant: INTEL CORPORATION
    Inventor: Amit Bleiweiss
  • Publication number: 20200143579
    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.
    Type: Application
    Filed: October 31, 2019
    Publication date: May 7, 2020
    Applicant: Intel Corporation
    Inventors: 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
  • Patent number: 10606559
    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.
    Type: Grant
    Filed: June 12, 2019
    Date of Patent: March 31, 2020
    Assignee: INTEL CORPORATION
    Inventors: 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
  • Patent number: 10567738
    Abstract: An activity recording system is provided. The activity recording system includes a three-dimensional camera, a sensor arrangement that is fitted to a subject being recorded, and an activity recording device. The activity recording device receives image information from the three-dimensional camera and sensor arrangement information from the sensor arrangement. Both the image information and the sensor arrangement information include location measurements. The sensor arrangement information is generated by location sensors that are positioned at target features of the subject to be tracked. The sensor arrangement information is a key to the image information that specifies where, in any given image, the target features of the subject lie. Activity data having these characteristics may be applied to solve a variety of system development problems. Such activity data can be used to training machine learning components or test computer vision components for a fraction of the cost of using conventional techniques.
    Type: Grant
    Filed: November 9, 2018
    Date of Patent: February 18, 2020
    Assignee: Intel Corporation
    Inventor: Amit Bleiweiss
  • Publication number: 20190370643
    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to map workloads. An example apparatus includes a constraint definer to define performance characteristic targets of the neural network, an action determiner to apply a first resource configuration to candidate resources corresponding to the neural network, a reward determiner to calculate a results metric based on (a) resource performance metrics and (b) the performance characteristic targets, and a layer map generator to generate a resource mapping file, the mapping file including respective resource assignments for respective corresponding layers of the neural network, the resource assignments selected based on the results metric.
    Type: Application
    Filed: August 15, 2019
    Publication date: December 5, 2019
    Inventors: Estelle Aflalo, Amit Bleiweiss, Mattias Marder, Eliran Zimmerman