Amazon Technologies, Inc. patent applications on March 27th, 2025
Patent Applications by Amazon Technologies, Inc. on March 27th, 2025
Amazon Technologies, Inc.: 8 patent applications
Amazon Technologies, Inc. has applied for patents in the areas of H04L9/40 (2), G01C21/34 (1), G10L13/10 (1), H04W76/12 (1), H04W28/06 (1) H04L63/20 (2), G01C21/3415 (1), G06F9/3877 (1), G06F16/90332 (1), G06N3/08 (1)
With keywords such as: language, natural, output, policy, input, response, circuits, values, data, and representation in patent application abstracts.
Patent Applications by Amazon Technologies, Inc.
20250102308. 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 destination 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 providing the second set of directions for moving from the second geolocation towards the destination address using a second navigation for presentation.
Inventor(s): Kenneth Duong of San Jose CA US for amazon technologies, inc., Jung Ko of San Jose CA US for amazon technologies, inc., Steven L. Teig of Menlo Park CA US for amazon technologies, inc.
IPC Code(s): G06F9/38, G06F15/80, G06N3/063, G06N5/046
CPC Code(s): G06F9/3877
Abstract: some embodiments provide a neural network inference circuit (nnic) for executing a neural network that includes multiple computation nodes at multiple layers. the nnic includes multiple core circuits including memories for storing input values for the computation nodes. the nnic includes a set of post-processing circuits for computing output values of the computation nodes. the output values for a first layer are for storage in the core circuits as input values for a second layer. the nnic includes an output bus that connects the post-processing circuits to the core circuits. the output bus is for (i) receiving a set of output values from the post-processing circuits, (ii) transporting the output values of the set to the core circuits based on configuration data specifying a core circuit at which each of the output values is to be stored, and (iii) aligning the output values for storage in the core circuits.
Inventor(s): Rashmi Gangadharaiah of San Jose CA US for amazon technologies, inc., Jonathan James Pezzino of Seattle WA US for amazon technologies, inc., James W. Horsley of San Jose CA US for amazon technologies, inc., Mira E Hall of Seattle WA US for amazon technologies, inc.
IPC Code(s): G06F16/9032, G06F40/35
CPC Code(s): G06F16/90332
Abstract: methods, systems, and computer-readable media for interactive command generation for natural language input are disclosed. a natural language dialog system receives a natural language input for a dialog with a user. the system determines a state representation of the dialog based at least in part on the natural language input. the state representation indicates an operation offered by a service. the system generates a natural language output based at least in part on the natural language input. the natural language output solicits an additional natural language input for the dialog. the system determines an updated state representation of the dialog based at least in part on the additional natural language input and the state representation. the updated state representation indicates parameter value(s) for the operation. based at least in part on the updated state representation, the system generates a command invoking the operation with the parameter value(s).
Inventor(s): Sujitha Catherine MARTIN of San Jose CA US for amazon technologies, inc., Yash Jayesh SHAH of Sunnyvale CA US for amazon technologies, inc., Emmett Daniel GOODMAN of San Francisco CA US for amazon technologies, inc., Negin SOKHANDAN ASL of Santa Clara CA US for amazon technologies, inc.
IPC Code(s): G06N3/08, G06N3/0475
CPC Code(s): G06N3/08
Abstract: techniques for unlearning concepts in the use of a pre-trained generative machine learning model are described. a description of a concept to be unlearned in use of a pre-trained generative machine learning model is received. negative prompts and positive prompts are processed with the pre-trained generative machine learning model to generate associated activation volume maps. a set of conditions to differentiate activation volume maps associated with negative prompts from activation volume maps associated with positive prompts is identified. a model adapter is generated, the model adapter to use a set of different model parameters when processing of a prompt by the pre-trained generative machine learning model satisfies the set of conditions.
20250104693. NATURAL LANGUAGE GENERATION_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Constantinos Papayiannis of Berlin DE for amazon technologies, inc., Roberto Barra Chicote of Cambridge GB for amazon technologies, inc., Trevor Michael Wood of Ely GB for amazon technologies, inc., James Garnet Droppo of Carnation WA US for amazon technologies, inc.
IPC Code(s): G10L13/10, G10L13/047, G10L25/18
CPC Code(s): G10L13/10
Abstract: techniques for using a language model (e.g., a large language model (llm)) to generate a natural language response to a user input and prosody information (e.g., voice characteristics associated with a synthetic voice to output the natural language response to the user) are described. the prosody information may correspond to a natural language (e.g., text or tokenized) description, a spectrogram, and/or a latent representation of the voice characteristic(s) associated with the natural language response. in some embodiments, the natural language response and the prosody information may be generated by different portions of layers of the language model. in such embodiments, the output of the layer(s) of the language model configured to generate the natural language response may be provided to the layer(s) of the language model configured to generate the prosody information and the output may be used to generate the prosody information, and vice versa.
20250105914. NON-TERRESTRIAL COMMUNICATION SESSIONS_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Nicholas Anthony Ansell of Macclesfield GB for amazon technologies, inc.
IPC Code(s): H04B7/185, H04L67/02, H04W28/06, H04W76/12
CPC Code(s): H04B7/18513
Abstract: http/https communication between non-terrestrial objects and ground stations are enabled by splitting common http/https proxy functions across two sides of a radio frequency (rf) communication link. an http/https request may be generated and then transmitted across an rf communication downlink to a ground location, where the http/https request may be analyzed to determine an appropriate endpoint. a connection is established with the endpoint to permit transmission of the request. in response to the request, the ground location may then take an http/https response and transmit across an rf communication uplink to the non-terrestrial object.
Inventor(s): Amit GOEL of Portland OR US for amazon technologies, inc., Chengpeng LI of Austin TX US for amazon technologies, inc., Chungha SUNG of Cupertino CA US for amazon technologies, inc., Loris D'ANTONI of Madison WI US for amazon technologies, inc., Neha RUNGTA of San Jose CA US for amazon technologies, inc.
IPC Code(s): H04L9/40, H04L43/50
CPC Code(s): H04L63/20
Abstract: techniques for analyzing access control policies across multiple provider networks. these techniques compile various policies into a unified policy language broad enough to include diverse policy features, yet specific enough for automated analysis. an automated differential testing method is employed to confirm the accuracy of this compilation by generating access requests, ensuring both original and translated policies consistently grant or deny access. moreover, an abstraction technique is used to simplify and correlate the complex details of different policies, enabling easier user inquiries about them. for instance, users can determine if an account has write access in one network but not in another. this abstraction sometimes involves replacing actions in original policies, ensuring their compatibility in the target policy language.
Inventor(s): Scott Renda of Seattle WA US for amazon technologies, inc., Aleatha Parker-Wood of Palo Alto CA US for amazon technologies, inc., Amandeep Khurana of Burlingame CA US for amazon technologies, inc., Jai Prakash Chabria of Bellevue WA US for amazon technologies, inc.
IPC Code(s): H04L9/40
CPC Code(s): H04L63/20
Abstract: a system and supporting method enable receipt of a computer-coded policy for execution in a control plane associated with a cloud environment to provide data governance in a data plane using one or more data assets of the cloud environment, where the one or more data assets are automatically associated to the computer-coded policy using a set of pre-determined rules associated with the computer-coded policy and using annotations associated with the one or more data assets, and where dynamic changes are to be performed with respect to the annotations based in part on real-time changes to the computer-coded policy to allow monitoring contents of the one or more data assets in accordance with the computer-coded policy and to perform a remediation action that is associated with the one or more data assets in response to a violation associated with the computer-coded policy.
Amazon Technologies, Inc. patent applications on March 27th, 2025
- Amazon Technologies, Inc.
- G01C21/34
- G01C21/36
- CPC G01C21/3415
- Amazon technologies, inc.
- G06F9/38
- G06F15/80
- G06N3/063
- G06N5/046
- CPC G06F9/3877
- G06F16/9032
- G06F40/35
- CPC G06F16/90332
- G06N3/08
- G06N3/0475
- CPC G06N3/08
- G10L13/10
- G10L13/047
- G10L25/18
- CPC G10L13/10
- H04B7/185
- H04L67/02
- H04W28/06
- H04W76/12
- CPC H04B7/18513
- H04L9/40
- H04L43/50
- CPC H04L63/20
