Amazon Technologies, Inc. patent applications on June 6th, 2024
Patent Applications by Amazon Technologies, Inc. on June 6th, 2024
Amazon Technologies, Inc.: 11 patent applications
Amazon Technologies, Inc. has applied for patents in the areas of G10L15/22 (10), G10L15/183 (6), G10L15/18 (4), G10L13/047 (2), H04L41/08 (2)
With keywords such as: data, network, device, computing, wakeword, nodes, user, virtual, service, and vehicle in patent application abstracts.
Patent Applications by Amazon Technologies, Inc.
20240184517.ASSOCIATING OF COMPUTING DEVICES_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Justin-Josef Angel of San Francisco CA (US) for amazon technologies, inc., Eric Alan Breitbard of Oakland CA (US) for amazon technologies, inc., Sean Robert Ryan of Larkspur CA (US) for amazon technologies, inc., Robert Steven Murdock of Fairfax CA (US) for amazon technologies, inc., Michael Douglas McQueen of Moraga CA (US) for amazon technologies, inc., Ryan Charles Chase of Pacifica CA (US) for amazon technologies, inc., Colin Neil Swann of Oakland CA (US) for amazon technologies, inc.
IPC Code(s): G06F3/16, G06F3/14, G10L15/22, G10L25/54
Abstract: methods, systems and apparatus for associating electronic devices together based on received commands are described. methods for associating an audio-controlled device with a physically separate device with different hardware capabilities such that commands spoken to the audio-controlled device that require the hardware capabilities of the physically separate device can be streamlined.
20240184745.FILE-LEVEL SNAPSHOT ACCESS SERVICE_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Anil Gathala of San Jose CA (US) for amazon technologies, inc., Sandeep Kumar of Sammamish WA (US) for amazon technologies, inc., Kiran Shantaram Dalvi of Sunnyvale CA (US) for amazon technologies, inc., Chakravarthi Kalyana Valicherla of Redmond WA (US) for amazon technologies, inc., Shailendra Verma of Bellevue WA (US) for amazon technologies, inc., Adonijah Park of Seattle WA (US) for amazon technologies, inc.
IPC Code(s): G06F16/11, G06F9/54, G06F11/14, G06F16/172
Abstract: a file-level snapshot access service provides direct access to individual files included in a snapshot for virtual volume of a block-storage service without requiring a volume to be re-created from the snapshot, attached to a computing device, or mounted in a file system. for example, a user/client may directly retrieve individual files from specified snapshots via a user interface/api of the file-level snapshot access service. additionally, the file-level snapshot access service is configured to provide a listing of files included in a given snapshot. in some embodiments, a file-level snapshot access service may provide direct access to individual files included in snapshots generated for other types of storage systems, such as an object-based storage system.
Inventor(s): Lonnie J. Princehouse of Seattle WA (US) for amazon technologies, inc., Timothy A. Rath of Olympia WA (US) for amazon technologies, inc., Gaurav Gupta of Sammamish WA (US) for amazon technologies, inc., Mustafa Ozan Ozen of Vancouver (CA) for amazon technologies, inc., Omer Ahmed Zaki of Bellevue WA (US) for amazon technologies, inc., Karthik Gurumoorthy Subramanya Bharathy of Sammamish WA (US) for amazon technologies, inc., Gaurav Saxena of Seattle WA (US) for amazon technologies, inc.
IPC Code(s): G06F16/2455, G06F3/06, G06F16/248, G06F16/27
Abstract: methods, systems, and computer-readable media for continuous functions in a time-series database are disclosed. a plurality of data points of a time series are stored into one or more storage tiers of a time-series database. the plurality of data points comprise a plurality of discrete measurements at respective timestamps. using one or more query processors of the time-series database, a query of the time series is initiated. the query indicates a time range. using the one or more query processors, a continuous function is determined that represents a segment of the time series in the time range. the continuous function is determined based at least in part on the plurality of data points. an operation is performed using the continuous function as an input.
Inventor(s): Gowda Dayannda Anjaneyapura Range of Redmond WA (US) for amazon technologies, inc., Rajeev Ramnarain Rastogi of Bangalore (IN) for amazon technologies, inc.
IPC Code(s): G06N20/00, G06F16/35, G06N5/04
Abstract: respective correlation metrics between token groups of a particular text attribute of a data set and a prediction target attribute are computed. based on the correlation metrics, a predictive token group list is created. for various observation records of the data set, values of a derived categorical attribute corresponding to the particular text attribute are determined based on matches between the particular text attribute value and the predictive token group list. a measure of the predictive utility of the particular text attribute is obtained using correlations between the categorical attribute and the prediction target attribute.
20240185648.VEHICLE DATA EXTRACTION SERVICE_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Assimakis Tzamaloukas of San Jose CA (US) for amazon technologies, inc., Anis Moussa of Berlin (DE) for amazon technologies, inc., Jeffrey Dean Singer of Everett WA (US) for amazon technologies, inc.
IPC Code(s): G07C5/08, H04L12/40
Abstract: a system comprising one or more computing devices implements a vehicle information extraction service. the vehicle information extraction service enables customers to provide access to proprietary encoding protocols used by the customers to communicate over a bus of a vehicle, wherein the proprietary protocols are used by the vehicle information extraction service to perform vehicle information monitoring, while at the same time protecting the confidentiality of the proprietary protocols from being accessed by third parties. also, the vehicle information extraction service enables streaming of relevant vehicle information corresponding to customer defined event criteria without requiring non-relevant vehicle information to be streamed, which would consume considerable network resources.
20240185833.DYNAMIC SYSTEM RESPONSE CONFIGURATION_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Anthony Bissell of Somerville MA (US) for amazon technologies, inc., Janet Slifka of Cambridge MA (US) for amazon technologies, inc.
IPC Code(s): G10L13/047, G10L13/08, G10L15/18, G10L15/22
Abstract: a natural language processing system may use system response configuration data to determine customized output data forms when outputting data for a user. the system response configuration data may represent various output attributes the system may use when creating output data. the system may have a certain number of existing profiles where a profile is associated with certain settings for the system response configuration data/attributes. the system may also use various data such as context data, sentiment data, or the like to customize system response configuration data during a dialog. other components, such as natural language generation (nlg), text-to-speech (tts), or the like, may use the customized system response configuration data to determine the form, timing, etc. of output data to be presented to a user.
20240185845.WAKEWORD DETECTION_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Deepak Yavagal of Mercer Island WA (US) for amazon technologies, inc., Ajith Prabhakara of Seattle WA (US) for amazon technologies, inc., John Gray of Redmond WA (US) for amazon technologies, inc.
IPC Code(s): G10L15/183, G10L15/06, G10L15/08, G10L15/22
Abstract: techniques for implementing multiple wakeword detectors on a single device are described. a digital signal processor (dsp) of the device may implement a wakeword detection component to detect when captured speech includes a wakeword. a companion application installed on the device may implement a wakeword detection component trained using speech of a user of the device. if the dsp's wakeword detection component detects a wakeword in speech, the companion application's wakeword detection component may be used to determine whether the wakeword was spoken by the user of the device. if the companion application's wakeword detection component determines the user spoke the wakeword, audio data representing the speech may be sent to at least one server(s) for processing.
20240185846.MULTI-SESSION CONTEXT_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Arjit Biswas of Dublin CA (US) for amazon technologies, inc., Shishir Bharathi of Bellevue WA (US) for amazon technologies, inc., Anushree Venkatesh of San Mateo CA (US) for amazon technologies, inc., Yun Lei of Los Altos CA (US) for amazon technologies, inc., Ashish Kumar Agrawal of Mountain View CA (US) for amazon technologies, inc., Siddhartha Reddy Jonnalagadda of Bothell WA (US) for amazon technologies, inc., Prakash Krishnan of Santa Clara CA (US) for amazon technologies, inc., Arindam Mandal of Redwood City CA (US) for amazon technologies, inc., Raefer Christopher Gabriel of San Jose CA (US) for amazon technologies, inc., Abhay Kumar Jha of Belmont CA (US) for amazon technologies, inc., David Chi-Wai Tang of Palo Alto CA (US) for amazon technologies, inc., Savas Parastatidis of Kirkland WA (US) for amazon technologies, inc.
IPC Code(s): G10L15/183, G06F40/279, G06F40/295, G06F40/30, G06F40/35, G10L15/18, G10L15/19, G10L15/22
Abstract: techniques for storing and using multi-session context are described. a system may store context data corresponding to a first interaction, where the context data may include action data, entity data and a profile identifier for a user. later the stored context data may be retrieved during a second interaction corresponding to the entity of the second interaction. the second interaction may take place at a system different than the first interaction. the system may generate a response during the second interaction using the stored context data of the prior interaction.
20240185852.MULTIPLE SKILLS PROCESSING_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Rohin Dabas of Kirkland WA (US) for amazon technologies, inc., Troy Dean Schuring of Maple Valley WA (US) for amazon technologies, inc., Rashmi Tonge of Bellevue WA (US) for amazon technologies, inc., Michael James Montgomery of Seattle WA (US) for amazon technologies, inc., Kevindra Pal Singh of Seattle WA (US) for amazon technologies, inc., Adam Baran of Redmond WA (US) for amazon technologies, inc., David Thomas of Woodinville WA (US) for amazon technologies, inc., Nnenna Eleanya Okwara of Seattle WA (US) for amazon technologies, inc.
IPC Code(s): G10L15/22, G10L15/18, G10L15/183, G10L15/30
Abstract: described herein is a system for enabling a user to perform complex goals using multiple skills/applications of an intelligent assistant device. skills may register as consumers of an action or providers of an action, and the consumer skills may be configured to invoke provider skills to perform actions. the system receives a request to perform an action from a skill along with some action data. the system validates the action data, selects another skill to perform the action, and forwards the request to the selected skill to perform the action.
Inventor(s): Daniel T. Cohn of Oakland CA (US) for amazon technologies, inc., Eric Jason Brandwine of Haymarket VA (US) for amazon technologies, inc., Andrew J. Doane of Vienna VA (US) for amazon technologies, inc.
IPC Code(s): H04L41/0816, H04L9/40, H04L41/08, H04L41/0806, H04L61/103, H04L61/251, H04L61/5007, H04L67/10, H04L67/51, H04L101/604, H04L101/659
Abstract: techniques are described for managing communications between multiple computing nodes, such as for computing nodes that are part of managed virtual computer networks provided on behalf of users or other entities. in some situations, one or more of the computing nodes of a managed virtual computer network is configured to perform actions to extend capabilities of the managed virtual computer network to other computing nodes that are not part of the managed virtual computer network, such as by forwarding communications between computing nodes of the managed virtual computer network and the other external computing nodes so as to enable the other external computing nodes to participate in the managed virtual computer network. in some situations, the computing nodes may include virtual machine nodes hosted on one or more physical computing machines or systems, such as by or on behalf of one or more users.
Inventor(s): Paul John Tillotson of Herndon VA (US) for amazon technologies, inc., Bashuman Deb of Aldie VA (US) for amazon technologies, inc., Thomas Spendley of Rockville MD (US) for amazon technologies, inc., Omer Hashmi of Chevy Chase MD (US) for amazon technologies, inc., Baihu Qian of Herndon VA (US) for amazon technologies, inc., Alexander Justin Penney of Falls Church VA (US) for amazon technologies, inc.
IPC Code(s): H04L45/02, H04L12/46, H04L45/302, H04L47/2483
Abstract: metadata indicating that a virtual traffic hub enabling connectivity between a plurality of isolated networks has been established is stored. a determination is made that a first entry of a first isolated network attached to the hub is to be represented in a second routing table of a second isolated network attached to the hub, e.g., to enable network packets originating at resources of the second isolated network to be transmitted via the hub to the first isolated network. a new entry corresponding to the first entry is included in the second routing table.
Amazon Technologies, Inc. patent applications on June 6th, 2024
- Amazon Technologies, Inc.
- G06F3/16
- G06F3/14
- G10L15/22
- G10L25/54
- Amazon technologies, inc.
- G06F16/11
- G06F9/54
- G06F11/14
- G06F16/172
- G06F16/2455
- G06F3/06
- G06F16/248
- G06F16/27
- G06N20/00
- G06F16/35
- G06N5/04
- G07C5/08
- H04L12/40
- G10L13/047
- G10L13/08
- G10L15/18
- G10L15/183
- G10L15/06
- G10L15/08
- G06F40/279
- G06F40/295
- G06F40/30
- G06F40/35
- G10L15/19
- G10L15/30
- H04L41/0816
- H04L9/40
- H04L41/08
- H04L41/0806
- H04L61/103
- H04L61/251
- H04L61/5007
- H04L67/10
- H04L67/51
- H04L101/604
- H04L101/659
- H04L45/02
- H04L12/46
- H04L45/302
- H04L47/2483
