Amazon Technologies, Inc. patent applications on July 11th, 2024
Patent Applications by Amazon Technologies, Inc. on July 11th, 2024
Amazon Technologies, Inc.: 11 patent applications
Amazon Technologies, Inc. has applied for patents in the areas of B62B5/00 (1), H04N19/42 (1), H04L67/1029 (1), G06F9/455 (1), G06F11/14 (1) B62B5/0096 (1), G06F3/0626 (1), G06F13/4068 (1), G06F40/20 (1), G06N3/084 (1)
With keywords such as: frame, data, logic, computer, network, device, host, apparatus, include, and weight in patent application abstracts.
Patent Applications by Amazon Technologies, Inc.
20240227903. ITEM IDENTIFYING MOBILE APPARATUS_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Wade Burch of Grafton MA (US) for amazon technologies, inc., Robert David Serra of Nashua NH (US) for amazon technologies, inc., Matthew Clark Webster of Lincoln RI (US) for amazon technologies, inc., Jacob A. Siegel of Southborough MA (US) for amazon technologies, inc., Brendan Kyle Mcleod of Londonderry NH (US) for amazon technologies, inc., Jacob Paul Warren of Auburn MA (US) for amazon technologies, inc., Sridharan Thirumalai Vasu of Framingham MA (US) for amazon technologies, inc.
IPC Code(s): B62B5/00, B62B3/14, G01G19/12, G06Q30/0601, H04N23/90
CPC Code(s): B62B5/0096
Abstract: this disclosure describes, in part, a mobile apparatus for identifying items. for instance, the mobile apparatus may include a frame, a basket that attaches to the frame, a tray that attaches to the frame, and a user-facing module that attaches to the frame. weight sensors may be located beneath the basket and the tray in order to determine the weights of items added to the mobile apparatus. the user-facing module may include imaging devices, such as cameras, that the mobile apparatus uses to perform one or more functions. for example, the mobile apparatus may use the imaging devices to identify items placed within the basket, determine locations of the mobile apparatus within a facility, and/or the like. by including these components, the mobile apparatus is able to generate data that represents the items added to the mobile apparatus, the weights of the items, and the costs of the items.
Inventor(s): Dmitri Pavlichin of Redwood City CA (US) for amazon technologies, inc., Shubham Chandak of Palo Alto CA (US) for amazon technologies, inc., Itschak Weissman of Stanford CA (US) for amazon technologies, inc., Christopher George Burgess of Charlotte NC (US) for amazon technologies, inc.
IPC Code(s): G06F3/06
CPC Code(s): G06F3/0626
Abstract: a data service implements a configurable data compressor/decompressor using a recipe generated for a particular data set type and using compression operators of a common registry (e.g., pantry) that are referenced by the recipe, wherein the recipe indicates at which nodes of a compression graph respective ones of the compression operators of the registry are to be implemented. the configurable data compressor/decompressor provides a customizable framework for compressing data sets of different types (e.g., belonging to different data domains) using a common compressor/decompressor implemented using a common set of compression operators.
20240232117. CONFIGURABLE LOGIC PLATFORM_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Islam Atta of Vancouver (CA) for amazon technologies, inc., Christopher Joseph Pettey of Woodinville WA (US) for amazon technologies, inc., Asif Khan of Cedar Park TX (US) for amazon technologies, inc., Robert Michael Johnson of Austin TX (US) for amazon technologies, inc., Mark Bradley Davis of Austin TX (US) for amazon technologies, inc., Erez Izenberg of Tel Aviv (IL) for amazon technologies, inc., Nafea Bshara of San Jose CA (US) for amazon technologies, inc., Kypros Constantinides of Seattle WA (US) for amazon technologies, inc.
IPC Code(s): G06F13/40, G06F9/445, G06F13/42, G06F15/78
CPC Code(s): G06F13/4068
Abstract: the following description is directed to a configurable logic platform. in one example, a configurable logic platform includes host logic and a reconfigurable logic region. the reconfigurable logic region can include logic blocks that are configurable to implement application logic. the host logic can be used for encapsulating the reconfigurable logic region. the host logic can include a host interface for communicating with a processor. the host logic can include a management function accessible via the host interface. the management function can be adapted to cause the reconfigurable logic region to be configured with the application logic in response to an authorized request from the host interface. the host logic can include a data path function accessible via the host interface. the data path function can include a layer for formatting data transfers between the host interface and the application logic.
Inventor(s): Cedric Philippe Archambeau of Berlin (DE) for amazon technologies, inc., Sanjiv Ranjan Das of San Jose CA (US) for amazon technologies, inc., Michele Donini of Berlin (DE) for amazon technologies, inc., Michaela Hardt of Berkeley CA (US) for amazon technologies, inc., Tyler Stephen Hill of Los Altos CA (US) for amazon technologies, inc., Krishnaram Kenthapadi of Sunnyvale CA (US) for amazon technologies, inc., Pedro L Larroy of San Carlos CA (US) for amazon technologies, inc., Xinyu Liu of Santa Clara CA (US) for amazon technologies, inc., Keerthan Harish Vasist of Sunnyvale CA (US) for amazon technologies, inc., Pinar Altin Yilmaz of Palo Alto CA (US) for amazon technologies, inc., Muhammad Bilal Zafar of Berlin (DE) for amazon technologies, inc.
IPC Code(s): G06F40/20, G06F16/22, G06N5/01
CPC Code(s): G06F40/20
Abstract: a determination is made that an explanatory data set for a common set of predictions generated by a machine learning model for records containing text tokens is to be provided. respective groups of related tokens are identified from the text attributes of the records, and record-level prediction influence scores are generated for the token groups. an aggregate prediction influence score is generated for at least some of the token groups from the record-level scores, and an explanatory data set based on the aggregate scores is presented.
Inventor(s): Vignesh Vivekraja of Santa Clara CA (US) for amazon technologies, inc., Thiam Khean Hah of Milpitas CA (US) for amazon technologies, inc., Randy Renfu Huang of Morgan Hill CA (US) for amazon technologies, inc., Ron Diamant of Santa Clara CA (US) for amazon technologies, inc., Richard John Heaton of San Jose CA (US) for amazon technologies, inc.
IPC Code(s): G06N3/084, G06N3/045, G06N3/063, G06N3/10
CPC Code(s): G06N3/084
Abstract: methods and systems for performing a training operation of a neural network are provided. in one example, a method comprises: performing backward propagation computations for a second layer of a neural network to generate second weight gradients; splitting the second weight gradients into portions; causing a hardware interface to exchange a first portion of the second weight gradients with the second computer system; performing backward propagation computations for a first layer of the neural network to generate first weight gradients when the exchange of the first portion of the second weight gradients is underway, the first layer being a lower layer than the second layer in the neural network; causing the hardware interface to transmit the first weight gradients to the second computer system; and causing the hardware interface to transmit the remaining portions of the second weight gradients to the second computer system.
Inventor(s): MANOJ AGGARWAL of SEATTLE WA (US) for amazon technologies, inc., GERARD GUY MEDIONI of LOS ANGELES CA (US) for amazon technologies, inc., CHAD DESJARDINS of SEATTLE WA (US) for amazon technologies, inc., DILIP KUMAR of SEATTLE WA (US) for amazon technologies, inc.
IPC Code(s): G06V40/50, G06V10/774, G06V40/70
CPC Code(s): G06V40/50
Abstract: user enrollment to a biometric identification system begins with a pre-enrollment process on selected general input devices (gid) such as smartphones. the user may enter identification data such as their name and use a camera of the gid to acquire first image data, such as of their hand. the first image data is processed to determine a first representation. upon presentation of a hand at a biometric input device, second image data is acquired. the second image data is processed to determine a second representation. if the second representation is deemed to be associated with the first representation, the enrollment process may be completed by storing the second representation for subsequent use.
20240233726. NAMING DEVICES VIA VOICE COMMANDS_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Rohan Mutagi of Redmond WA (US) for amazon technologies, inc., Isaac Michael Taylor of Seattle WA (US) for amazon technologies, inc.
IPC Code(s): G10L15/22, G06F3/16
CPC Code(s): G10L15/22
Abstract: techniques for naming devices via voice commands are described herein. for instance, a user may issue a voice command to a voice-controlled device stating, “you are the kitchen device”. thereafter, the device may respond to voice commands directed, by name, to this device. for instance, the user may issue a voice command requesting to “play music on my kitchen device”. given that the user has configured the device to respond to this name, the device may respond to the command by outputting the requested music.
Inventor(s): Diwakar Gupta of Seattle WA (US) for amazon technologies, inc., Benjamin Wojtowicz of San Francisco CA (US) for amazon technologies, inc., Upendra Bhalchandra Shevade of Washington DC (US) for amazon technologies, inc., Ximeng Simon Yang of San Francisco CA (US) for amazon technologies, inc.
IPC Code(s): H04L67/1008, H04L67/60, H04W28/08, H04W28/16
CPC Code(s): H04L67/1008
Abstract: at a radio-based application pipeline processing server at which a portion of a distributed unit (du) of a radio-based application is implemented, a particular networking hardware device is selected from among several devices (which include least one device incorporated within a network function accelerator card and at least one device which is not part of an accelerator card) for transmission of at least a portion of mid-haul traffic to a centralized unit (cu). the mid-haul traffic is transmitted to the cu via the selected device. at least a portion of front-haul traffic is transmitted to a radio unit (ru) via a networking hardware device incorporated within a network function accelerator card of the server.
Inventor(s): Eric Jason Brandwine of Haymarket VA (US) for amazon technologies, inc., Kevin Christopher Miller of Herndon VA (US) for amazon technologies, inc., Andrew J. Doane of Vienna VA (US) for amazon technologies, inc.
IPC Code(s): H04L67/1029, G06F9/455, G06F11/14, G06F11/20, H04L61/2503, H04L61/5007, H04L67/1097, H04L101/668
CPC Code(s): H04L67/1029
Abstract: techniques are described for providing managed computer networks, such as for managed virtual computer networks overlaid on one or more other underlying computer networks. in some situations, the techniques include facilitating replication of a primary computing node that is actively participating in a managed computer network, such as by maintaining one or more other computing nodes in the managed computer network as replicas, and using such replica computing nodes in various manners. for example, a particular managed virtual computer network may span multiple broadcast domains of an underlying computer network, and a particular primary computing node and a corresponding remote replica computing node of the managed virtual computer network may be implemented in distinct broadcast domains of the underlying computer network, with the replica computing node being used to transparently replace the primary computing node in the virtual computer network if the primary computing node becomes unavailable.
Inventor(s): Kiran Mukesh Misra of Camas WA (US) for amazon technologies, inc., Christopher Andrew Segall of Camas WA (US) for amazon technologies, inc., Byeongdoo Choi of Irvine CA (US) for amazon technologies, inc.
IPC Code(s): H04N19/42, H04N19/117, H04N19/12, H04N19/136, H04N19/172, H04N19/176, H04N19/60, H04N19/82
CPC Code(s): H04N19/42
Abstract: the present disclosure relates to methods, apparatus, systems, and non-transitory computer-readable storage media for training and using a multi-scale machine learning model for the enhancement of compressed video. according to some examples, a computer-implemented method includes receiving a video at a content delivery service; performing an encode on a frame of the video by the content delivery service that coverts the frame from a pixel domain to a transform domain and back to the pixel domain to generate first pixel values and a first residual for a block of the frame at a first resolution; generating a first set of features, by a machine learning model of the content delivery service, for an input, at a first resolution, of the first pixel values and the first residual of the block; generating a second set of features, by the machine learning model of the content delivery service, for an input, at a second lower resolution, of second pixel values and a second residual of the block; upsampling the second set of features to the first resolution to generate an upsampled second set of features; generating a modified version of the frame based on the first set of features and the upsampled second set of features; and transmitting the modified version of the frame to a frame buffer or from the content delivery service to a viewer device.
Inventor(s): Byeongdoo Choi of Irvine CA (US) for amazon technologies, inc., Christopher Andrew Segall of Camas WA (US) for amazon technologies, inc., Kiran Mukesh Misra of Camas WA (US) for amazon technologies, inc.
IPC Code(s): H04N19/59, G06T3/40, H04N19/139, H04N19/91
CPC Code(s): H04N19/59
Abstract: the present disclosure relates to methods, apparatus, systems, and non-transitory computer-readable storage media for video coding using super-resolution restoration with residual frame coding. according to some examples, a computer-implemented method includes receiving a coded frame of a video; performing a video coding on the coded frame of the video to generate a resultant for the coded frame at a second lower resolution than a first resolution; upsampling the resultant in at least a vertical direction to a higher resolution than the second lower resolution to generate an upsampled resultant; generating a decoded frame based on at least the upsampled resultant; and transmitting the decoded frame to a frame buffer or to a display device.
Amazon Technologies, Inc. patent applications on July 11th, 2024
- Amazon Technologies, Inc.
- B62B5/00
- B62B3/14
- G01G19/12
- G06Q30/0601
- H04N23/90
- CPC B62B5/0096
- Amazon technologies, inc.
- G06F3/06
- CPC G06F3/0626
- G06F13/40
- G06F9/445
- G06F13/42
- G06F15/78
- CPC G06F13/4068
- G06F40/20
- G06F16/22
- G06N5/01
- CPC G06F40/20
- G06N3/084
- G06N3/045
- G06N3/063
- G06N3/10
- CPC G06N3/084
- G06V40/50
- G06V10/774
- G06V40/70
- CPC G06V40/50
- G10L15/22
- G06F3/16
- CPC G10L15/22
- H04L67/1008
- H04L67/60
- H04W28/08
- H04W28/16
- CPC H04L67/1008
- H04L67/1029
- G06F9/455
- G06F11/14
- G06F11/20
- H04L61/2503
- H04L61/5007
- H04L67/1097
- H04L101/668
- CPC H04L67/1029
- H04N19/42
- H04N19/117
- H04N19/12
- H04N19/136
- H04N19/172
- H04N19/176
- H04N19/60
- H04N19/82
- CPC H04N19/42
- H04N19/59
- G06T3/40
- H04N19/139
- H04N19/91
- CPC H04N19/59
