Amazon Technologies, Inc. patent applications on January 9th, 2025
Patent Applications by Amazon Technologies, Inc. on January 9th, 2025
Amazon Technologies, Inc.: 10 patent applications
Amazon Technologies, Inc. has applied for patents in the areas of G01C21/34 (1), G10L25/30 (1), H04W12/037 (1), H04L9/32 (1), H04W4/021 (1) G01C21/3415 (1), G06F13/4068 (1), G06F16/24522 (1), G06N7/01 (1), G10L13/047 (1)
With keywords such as: network, device, service, geofence, data, speech, query, according, respective, and coupled in patent application abstracts.
Patent Applications by Amazon Technologies, Inc.
20250012577. GRADUATED NAVIGATION FOR ITEM SERVICING_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Sajeeva L. Pallemulle of Bellevue WA (US) for amazon technologies, inc., James Walt Hammans Stallings of Austin TX (US) for amazon technologies, inc., Margo Conner of Portland OR (US) for amazon technologies, inc., Niranjan Dharmarajan of Sammamish WA (US) for amazon technologies, inc., Alexander Blackstock of Mercer Island WA (US) for amazon technologies, inc., Abhijeet Rajiv Deshmukh of Seattle WA (US) for amazon technologies, inc., Jonathan Paul McCabe of Los Gatos CA (US) for amazon technologies, inc., Randy Fussell of Bellevue WA (US) for amazon technologies, inc., Iliya Koreshev of Jonestown TX (US) for amazon technologies, inc.
IPC Code(s): G01C21/34, G01C21/36
CPC Code(s): G01C21/3415
Abstract: techniques for graduated navigation displayed on an electronic device used in servicing items for users are described herein. for example, the electronic device can receive a first set of directions for moving towards a first geolocation associated with a service address using a first navigation method for presentation. the electronic device can transition from the first set of directions to a second set of directions in response to detecting a transition trigger associated with a second geolocation. the transition can involve ceasing providing the first set of directions for presentation. the transition can also involve providing the second set of directions for moving from the second geolocation towards the service address using a second navigation for presentation.
20250013593. MODULAR MASS STORAGE SYSTEM_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Darin Lee Frink of Lake Tapps WA (US) for amazon technologies, inc., Peter George Ross of Olympia WA (US) for amazon technologies, inc.
IPC Code(s): G06F13/40, G06F1/18, G06F1/20, G06F1/3287, G06F3/06, G11B33/12, G11B33/14, H05K7/14, H05K7/20
CPC Code(s): G06F13/4068
Abstract: a system for storing data includes a rack, one or more data storage modules coupled to the rack, and one or more data control modules coupled to the rack. the data storage modules may include a chassis, two or more backplanes coupled to the chassis, and one or more mass storage devices (for example, hard disk drives) coupled to the backplanes. the data control modules may access the mass storage devices in the data storage modules.
Inventor(s): Miguel Romero Calvo of Los Altos CA (US) for amazon technologies, inc., Tesfagabir Meharizghi of Santa Clara CA (US) for amazon technologies, inc., Thiruvarul Selvan Senthivel of Snoqualmie WA (US) for amazon technologies, inc., Saman Sarraf of San Jose CA (US) for amazon technologies, inc., Lin Lee Cheong of Palo Alto CA (US) for amazon technologies, inc.
IPC Code(s): G06F16/2452, G06F16/242
CPC Code(s): G06F16/24522
Abstract: an nlq-sqlq tool or service of a provider network may receive a natural language query (nlq) from a client and convert the nlq to an sql query using ontological codes and placeholders. for one or more portions of the nlq, the tool/service determines that the portion is associated with one or more codes of an ontology. the tool/service then assigns, based on criteria, a particular code to the portion. the tool/service replaces portions of the nlq with different argument placeholders to generate a modified nlq. a trained model converts the modified nlq into an initial sql query that has argument placeholders and subquery placeholders. the tool/service generates a final sql query based on the initial sql query, predefined sql subquery templates associated with the subquery placeholders, and codes associated with the argument placeholders. the tool/service executes the final sql query and sends results to the client.
Inventor(s): Giovanni Zappella of Berlin (DE) for amazon technologies, inc., Valerio Perrone of Berlin (DE) for amazon technologies, inc., Iaroslav Shcherbatyi of Berlin (DE) for amazon technologies, inc., Rodolphe Jenatton of Berlin (DE) for amazon technologies, inc., Cedric Philippe Archambeau of Berlin (DE) for amazon technologies, inc., Matthias Seeger of Berlin (DE) for amazon technologies, inc.
IPC Code(s): G06N7/01, G06N3/08, G06N20/00
CPC Code(s): G06N7/01
Abstract: hyperparameters for tuning a machine learning system may be optimized using bayesian optimization with constraints. the hyperparameter optimization may be performed for a received training set and received constraints. respective probabilistic models for the machine learning system and constraint functions may be initialized, then hyperparameter optimization may include iteratively identifying respective values for hyperparameters using analysis of the respective models performed using an acquisition function implementing entropy search on the respective models, training the machine learning system using the identified values to determine measures of accuracy and constraint metrics, and updating the respective models using the determined measures.
Inventor(s): Abdelhamid Ezzerg of Cambridge (GB) for amazon technologies, inc., Piotr Tadeusz Bilinski of Warsaw (PL) for amazon technologies, inc., Thomas Edward Merritt of Downham Market (GB) for amazon technologies, inc., Roberto Barra Chicote of Cambridge (GB) for amazon technologies, inc., Daniel Korzekwa of Gdansk (PL) for amazon technologies, inc., Kamil Pokora of Gdansk (PL) for amazon technologies, inc.
IPC Code(s): G10L13/047, G06N3/045, G10L25/30
CPC Code(s): G10L13/047
Abstract: voice customization is an application of voice synthesis that involves synthesizing speech having certain voice characteristics, and/or modifying the voice characteristics of human speech. certain techniques for voice customization may be used in conjunction with compressing speech for storage and/or transmission. for example, speech may be received at a first device and transformed into a latent representation and/or compressed for storage and/or transmission to a second device. the system may use normalizing flows to transform the source audio to a latent representation having a desired variable distribution, and to transform the latent representation back into audio data. a flow model may be conditioned using first speech attributes when transforming the source audio, and an inverse flow model may use second speech attributes when transforming the latent representation back into audio data. the first and/or second speech attributes may be modified to alter voice characteristics of the transmitted speech.
20250016057. VIRTUAL NETWORK VERIFICATION SERVICE_simplified_abstract_(amazon technologies, inc.)
Inventor(s): John Cook of Brooklyn NY (US) for amazon technologies, inc., Catherine Dodge of Seattle WA (US) for amazon technologies, inc., Sean McLaughlin of Seattle WA (US) for amazon technologies, inc.
IPC Code(s): H04L41/12, H04L12/46, H04L41/02, H04L41/50, H04L43/0811, H04L67/02
CPC Code(s): H04L41/12
Abstract: a virtual network verification service for provider networks that leverages a declarative logic programming language to allow clients to pose queries about their virtual networks as constraint problems; the queries may be resolved using a constraint solver engine. semantics and logic for networking primitives of virtual networks in the provider network environment may be encoded as a set of rules according to the logic programming language; networking security standards and/or client-defined rules may also be encoded in the rules. a description of a virtual network may be obtained and encoded. a constraint problem expressed by a query may then be resolved for the encoded description according to the encoded rules using the constraint solver engine; the results may be provided to the client.
Inventor(s): Giacomo Bernardi of Bologna (IT) for amazon technologies, inc., Ratul Mahajan of Seattle WA (US) for amazon technologies, inc., Saurabh Kumar of Los Altos CA (US) for amazon technologies, inc.
IPC Code(s): H04L49/104, H04L49/25
CPC Code(s): H04L49/106
Abstract: a computer network organized in a logical grid having rows and columns can include network nodes coupled according to harmonics. each network node can be coupled to network nodes of the same row using a set of horizontal strands according to a set of horizontal harmonics. each of the horizontal harmonics specifies a node distance along the row between adjacent connection points on the corresponding horizontal strand. each network node can also be coupled to network nodes of the same column using a set of vertical strands according to a set of vertical harmonics. each of the vertical harmonics specifies a node distance along the column between adjacent connection points on the corresponding vertical strand.
Inventor(s): Giacomo Bernardi of Bologna (IT) for amazon technologies, inc., Ratul Mahajan of Seattle WA (US) for amazon technologies, inc., Saurabh Kumar of Los Altos CA (US) for amazon technologies, inc.
IPC Code(s): H04Q11/00
CPC Code(s): H04Q11/0005
Abstract: a network device operating as a network node in a network fabric has a set of connection ports to provide a bandwidth capacity for the network device. the connection ports include fabric ports to connect with respective strands using multipoint optical connections. each strand can connect network nodes of the network fabric according to a harmonic specifying a node distance between adjacent connection points on the strand. the connection ports also include server ports to connect with servers and/or external networks. the network device also includes processing logic to distribute traffic for a destination node to network nodes along corresponding strands of the fabric ports.
Inventor(s): Mohamed Mansour of Cupertino CA (US) for amazon technologies, inc.
IPC Code(s): H04R1/40, H04R3/00
CPC Code(s): H04R1/406
Abstract: disclosed are techniques for an improved method for performing sound source localization (ssl) to determine a direction of arrival of an audible sound using a combination of timing information and amplitude information. for example, a device may decompose an observed sound field into directional components, then estimate a time-delay likelihood value and an energy-based likelihood value for each of the directional components. using a combination of these likelihood values, the device can determine the direction of arrival corresponding to a maximum likelihood value. in some examples, the device may perform acoustic wave decomposition processing to determine the directional components. in order to reduce a processing consumption associated with performing awd processing, the device splits this process into two phases: a search phase that selects a subset of a device dictionary to reduce a complexity, and a decomposition phase that solves an optimization problem using the subset of the device dictionary.
Inventor(s): Szymon Ulewicz of Vancouver (CA) for amazon technologies, inc.
IPC Code(s): H04W4/021, H04L9/32, H04W12/037, H04W12/0431
CPC Code(s): H04W4/021
Abstract: a system for providing a geofence service is disclosed. the geofence service receives an encrypted geospatial index for a specified geofence based on application of a hash function to respective ones of a plurality of locations for the specified geofence in accordance with a secret key that is unknown to the geofence service. the geofence service stores the encrypted geospatial index to a data store according to a geofence identifier for the specified geofence. the geofence service receives an encrypted device location identifier generated based on application of the hash function to a representation of a current location of a user device in accordance with the secret key. the geofence service determines whether the user device is located in a location of the plurality of locations based on a query of the encrypted geospatial index according to the encrypted device location identifier.
Amazon Technologies, Inc. patent applications on January 9th, 2025
- Amazon Technologies, Inc.
- G01C21/34
- G01C21/36
- CPC G01C21/3415
- Amazon technologies, inc.
- G06F13/40
- G06F1/18
- G06F1/20
- G06F1/3287
- G06F3/06
- G11B33/12
- G11B33/14
- H05K7/14
- H05K7/20
- CPC G06F13/4068
- G06F16/2452
- G06F16/242
- CPC G06F16/24522
- G06N7/01
- G06N3/08
- G06N20/00
- CPC G06N7/01
- G10L13/047
- G06N3/045
- G10L25/30
- CPC G10L13/047
- H04L41/12
- H04L12/46
- H04L41/02
- H04L41/50
- H04L43/0811
- H04L67/02
- CPC H04L41/12
- H04L49/104
- H04L49/25
- CPC H04L49/106
- H04Q11/00
- CPC H04Q11/0005
- H04R1/40
- H04R3/00
- CPC H04R1/406
- H04W4/021
- H04L9/32
- H04W12/037
- H04W12/0431
- CPC H04W4/021