Amazon Technologies, Inc. patent applications on January 2nd, 2025
Patent Applications by Amazon Technologies, Inc. on January 2nd, 2025
Amazon Technologies, Inc.: 23 patent applications
Amazon Technologies, Inc. has applied for patents in the areas of G06F16/33 (4), G06F40/40 (3), G06F16/332 (3), G06F16/34 (2), G06F9/451 (2) G06F16/3329 (2), G06F16/3344 (2), A63F13/355 (1), G06Q10/06312 (1), H04L63/0442 (1)
With keywords such as: language, question, service, natural, text, answering, spatial, user, partition, and information in patent application abstracts.
Patent Applications by Amazon Technologies, Inc.
Inventor(s): Christopher Denis Scalabrini of Kirkland WA (US) for amazon technologies, inc., Adam Julio Villalobos of Mountlake Terrace WA (US) for amazon technologies, inc.
IPC Code(s): A63F13/355, A63F13/358
CPC Code(s): A63F13/355
Abstract: automated scaling-related operations may be performed dynamically during execution of a spatial simulation. a spatial partition may be locally reassigned, based on application workload information, from a first application to a second application on the same worker. a quantity of applications on a worker may also be changed during execution of a spatial simulation. a parent spatial partition may be split into child spatial partitions, and child partitions may also be merged back into a common parent partition. indications of partition splits and merges on each of a plurality of workers may be reported to the plurality of workers. a spatial partition may also be remotely reassigned from a first worker to a second worker, such as based on worker-level resource consumption information and partition information. a quantity of workers that are used to implement a spatial simulation may also be changed during execution of the spatial simulation.
Inventor(s): Haibao Tang of Cupertino CA (US) for amazon technologies, inc., David Heckerman of Bellevue WA (US) for amazon technologies, inc., Layne Christopher Price of Seattle WA (US) for amazon technologies, inc., Frank Wilhelm Schmitz of Seattle WA (US) for amazon technologies, inc., Alena Harley of Los Gatos CA (US) for amazon technologies, inc., Antje Heit of Seattle WA (US) for amazon technologies, inc., Samuel Anthony Danziger of Seattle WA (US) for amazon technologies, inc.
IPC Code(s): C12Q1/6886, A61K39/00
CPC Code(s): C12Q1/6886
Abstract: disclosed herein is a method, comprising administering to a subject in need thereof an initial immunogenic composition comprising a plurality of tumor-specific neoantigens, each corresponding to a member of a first set of tumor-associated mutations in a subject, and none corresponding to a member of a second set of tumor-associated mutations in the subject; and quantifying each member of the first set of tumor-associated mutations and each member of the second set of tumor-associated mutations in circulating material comprising tumor-associated mutations isolated from the subject at each of multiple time points.
20250004544. GAZE INITIATED ACTIONS_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Rohit Prasad of Lexington MA (US) for amazon technologies, inc., Arushan Rajasekaram of North Bend WA (US) for amazon technologies, inc., Furqan Muhammad Khan of Culver City CA (US) for amazon technologies, inc., Rajiv M. Reddy of Bellevue WA (US) for amazon technologies, inc.
IPC Code(s): G06F3/01, G06F3/0481, G06F3/04842, G06F3/16, G06F9/451, G06T7/70, G10L15/22
CPC Code(s): G06F3/013
Abstract: a system that detects the location of a user gaze at a display and in response to the duration of the gaze exceeding a threshold, auto-playing content on the display. the system may also determine gaze event data associating the gaze event with the source of the content the user is gazing at. other information may also be associated with the gaze event such as user id, time/duration data, or the like. various actions can be taken in response to the gaze event such as auto-playing of content, outputting a visual indication of the detected gaze, interpreting detected speech using the gaze event data, data aggregation, etc.
Inventor(s): Enrico Sartorello of Berlin (DE) for amazon technologies, inc., Jessie E Felix of Berlin (DE) for amazon technologies, inc., Seth W. Markle of Seattle WA (US) for amazon technologies, inc., Andrew Kent Warfield of Vancouver (CA) for amazon technologies, inc., Leon Thrane of Seattle WA (US) for amazon technologies, inc., Valentin Flunkert of Berlin (DE) for amazon technologies, inc., Miroslav Miladinovic of Berlin (DE) for amazon technologies, inc., Christoph Bartenstein of Wien (AT) for amazon technologies, inc., James C Kirschner of Seattle WA (US) for amazon technologies, inc.
IPC Code(s): G06F3/06
CPC Code(s): G06F3/0622
Abstract: an object storage system includes mass storage devices that implement general storage for objects stored in the object storage system and additionally includes other storage devices, such as solid-state drives, that provide higher performance storage access. the object storage system implements a common access interface for accessing both accelerated access objects (who are eligible to have cached copies stored on the higher performance storage devices) and non-accelerated access objects stored in the general storage. the cache is fully managed by the service and no changes are required for client applications to receive accelerated access to objects that are classified as accelerated access objects per a customer configurable acceleration policy for the object or for a bucket in which the object is stored.
Inventor(s): Nathan Bartholomew Thomas of Seattle WA (US) for amazon technologies, inc., Varun Verma of Newcastle WA (US) for amazon technologies, inc., Deepak Suryanarayanan of Bellevue WA (US) for amazon technologies, inc., Ajit Nagendra Padukone of Bellevue WA (US) for amazon technologies, inc., Nakul Namdeo Dhande of Seattle WA (US) for amazon technologies, inc.
IPC Code(s): G06F9/455, G06F9/451, G06F9/48, G06F9/50, H04L67/54
CPC Code(s): G06F9/455
Abstract: a computing system that provides virtual computing services may generate and manage remote computing sessions between client computing devices and virtual desktop instances hosted on the service provider's network. a computing resource instance manager may monitor connections to and disconnections from a virtual desktop instance during particular time periods, and may apply a resource management policy to determine whether and when to shut down an underlying virtualized computing resource instance following a disconnection (e.g., immediately, after some period of time, or only between certain hours). a storage volume for the virtual desktop instance may be detached during a shutdown. in response to a reconnection request, the virtualized computing resource instance (or another such instance) may be restarted and the storage volume may be reattached. the computing resource instance manager may develop a model for predicting when to shut down or restart an instance based on historical data or machine learning.
20250004863. SPATIAL PARTITION SPLITTING AND MERGING_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Christopher Denis Scalabrini of Kirkland WA (US) for amazon technologies, inc., Adam Julio Villalobos of Mountlake Terrace WA (US) for amazon technologies, inc.
IPC Code(s): G06F9/52, G06F9/50
CPC Code(s): G06F9/52
Abstract: automated scaling-related operations may be performed dynamically during execution of a spatial simulation. a spatial partition may be locally reassigned, based on application workload information, from a first application to a second application on the same worker. a quantity of applications on a worker may also be changed during execution of a spatial simulation. a parent spatial partition may be split into child spatial partitions, and child partitions may also be merged back into a common parent partition. indications of partition splits and merges on each of a plurality of workers may be reported to the plurality of workers. a spatial partition may also be remotely reassigned from a first worker to a second worker, such as based on worker-level resource consumption information and partition information. a quantity of workers that are used to implement a spatial simulation may also be changed during execution of the spatial simulation.
Inventor(s): Sopan Khosla of Sunnyvale CA (US) for amazon technologies, inc., Vinayshekhar Bannihatti Kumar of Santa Clara CA (US) for amazon technologies, inc., Rashmi Gangadharaiah of San Jose CA (US) for amazon technologies, inc., Deepak Seetharam Nadig of San Jose CA (US) for amazon technologies, inc., James W. Horsley of Carnation WA (US) for amazon technologies, inc., Abhijit S Barde of Cupertino CA (US) for amazon technologies, inc.
IPC Code(s): G06F16/332, G06F9/54, G06F16/33
CPC Code(s): G06F16/3329
Abstract: systems and methods are provided for a natural language question answering service to provide answers to natural language questions regarding network-based services or computing domains. the natural language question answering service may receive the natural language question from a customer computing device. an aggregator of the natural language question answering service can retrieve passages from search systems based on the question and generate a prompt. a large language model (llm) of the natural language question answering service may receive the prompt and provide an answer. the answer may be verified by a verifier of the natural language question answering service. attribution may be applied to the answers and retrieved passages to produce references, inline citations, and similar questions. a watermarking module of the natural language question answering service may watermark the answer if it is verified.
Inventor(s): Sopan Khosla of Sunnyvale CA (US) for amazon technologies, inc., Vinayshekhar Bannihatti Kumar of Santa Clara CA (US) for amazon technologies, inc., Rashmi Gangadharaiah of San Jose CA (US) for amazon technologies, inc., James W. Horsley of Carnation WA (US) for amazon technologies, inc.
IPC Code(s): G06F16/332, G06F16/33, G06F21/16, G06F40/126
CPC Code(s): G06F16/3329
Abstract: systems and methods are provided for a natural language question answering service to provide answers to natural language questions regarding network-based services or computing domains. the natural language question answering service may receive the natural language question from a customer computing device. an aggregator of the natural language question answering service can retrieve passages from search systems based on the question and generate a prompt. a large language model (llm) of the natural language question answering service may receive the prompt and provide an answer. the answer may be verified by a verifier of the natural language question answering service. attribution may be applied to the answers and retrieved passages to produce references, inline citations, and similar questions. a watermarking module of the natural language question answering service may watermark the answer if it is verified.
Inventor(s): Sopan Khosla of Sunnyvale CA (US) for amazon technologies, inc., Vinayshekhar Bannihatti Kumar of Santa Clara CA (US) for amazon technologies, inc., Rashmi Gangadharaiah of San Jose CA (US) for amazon technologies, inc., Deepak Seetharam Nadig of San Jose CA (US) for amazon technologies, inc., James W. Horsley of Carnation WA (US) for amazon technologies, inc., Abhijit S. Barde of Cupertino CA (US) for amazon technologies, inc., Brijesh Luckria of Fayetteville NC (US) for amazon technologies, inc., Fawad Abbas of Bellevue WA (US) for amazon technologies, inc., Bhaskar Hosahalli Rangaswamy of San Jose CA (US) for amazon technologies, inc., Michael W. Miller of Mountain View CA (US) for amazon technologies, inc.
IPC Code(s): G06F16/33, G06F9/54, G06F16/332, G06F16/338, G06F40/30, G06F40/40, G06N20/00
CPC Code(s): G06F16/3344
Abstract: systems and methods are provided for a natural language question answering service to provide answers to natural language questions regarding network-based services or computing domains. the natural language question answering service may receive the natural language question from a customer computing device. an aggregator of the natural language question answering service can retrieve passages from search systems based on the question and generate a prompt. a large language model (llm) of the natural language question answering service may receive the prompt and provide an answer. the answer may be verified by a verifier of the natural language question answering service. attribution may be applied to the answers and retrieved passages to produce references, inline citations, and similar questions. a watermarking module of the natural language question answering service may watermark the answer if it is verified.
Inventor(s): Sopan Khosla of Sunnyvale CA (US) for amazon technologies, inc., Vinayshekhar Bannihatti Kumar of Santa Clara CA (US) for amazon technologies, inc., Rashmi Gangadharaiah of San Jose CA (US) for amazon technologies, inc.
IPC Code(s): G06F16/33
CPC Code(s): G06F16/3344
Abstract: systems and methods are provided for a natural language question answering service to provide answers to natural language questions regarding network-based services or computing domains. the natural language question answering service may receive the natural language question from a customer computing device. an aggregator of the natural language question answering service can retrieve passages from search systems based on the question and generate a prompt. a large language model (llm) of the natural language question answering service may receive the prompt and provide an answer. the answer may be verified by a verifier of the natural language question answering service. attribution may be applied to the answers and retrieved passages to produce references, inline citations, and similar questions. a watermarking module of the natural language question answering service may watermark the answer if it is verified.
Inventor(s): Devang Kulshreshtha of Montreal (CA) for amazon technologies, inc., Saket Dingliwal of Kirkland WA (US) for amazon technologies, inc., Sravan Babu Bodapati of Fremont CA (US) for amazon technologies, inc., Katrin Kirchhoff of Seattle WA (US) for amazon technologies, inc., Sarthak Handa of Seattle WA (US) for amazon technologies, inc.
IPC Code(s): G06F16/34, G06F40/169, G06F40/40
CPC Code(s): G06F16/345
Abstract: pairs of text collections are obtained. an individual pair comprises (a) a source text collection which includes a first group of text sequences and (b) an annotated analysis result of the source text collection, comprising a second group of text sequences and a set of evidence mappings generated by an evidence mapping model. an evidence mapping indicates, for a particular text sequence of the second group, another text sequence of the first group which provides evidence for the particular text sequence. a quality metric of the model is obtained using an automated evaluation methodology in which a question is generated from the particular text sequence, and an analysis of a pair of answers (including an answer generated using an evidence mapping) to the question is performed. the quality metric is provided via a programmatic interface.
Inventor(s): John Colton Moriarty of Seattle WA (US) for amazon technologies, inc., Saket Dingliwal of Kirkland WA (US) for amazon technologies, inc., Karthik Gopalakrishnan of Sunnyvale CA (US) for amazon technologies, inc., Sravan Babu Bodapati of Fremont CA (US) for amazon technologies, inc., Katrin Kirchhoff of Seattle WA (US) for amazon technologies, inc., Lei Xu of Jersey City NJ (US) for amazon technologies, inc.
IPC Code(s): G06F40/284, G06F16/34
CPC Code(s): G06F40/284
Abstract: domain specialty instructions may be generated for performing text analysis tasks. an input text may be received for performing a text analysis task. one or more domain entities may be extracted from the input text using a machine learning model trained to recognize entities of a domain in a given text. the one or more domain entities may be inserted as part of generating instructions to perform the text analysis task using a pre-trained machine learning model fine-tuned to the domain. the pre-trained machine learning model may be caused to perform the text analysis task using the generated instructions and a result of the text analysis task may be provided.
Inventor(s): Saket Dingliwal of Kirkland WA (US) for amazon technologies, inc., Karthik Gopalakrishnan of Sunnyvale CA (US) for amazon technologies, inc., Sravan Babu Bodapati of Fremont CA (US) for amazon technologies, inc., Sarthak Handa of Seattle WA (US) for amazon technologies, inc., Katrin Kirchhoff of Seattle WA (US) for amazon technologies, inc.
IPC Code(s): G06F40/40, G06F40/20
CPC Code(s): G06F40/40
Abstract: pairs of text collections are obtained. an individual pair comprises (a) a source text collection which includes a first group of text sequences and (b) an annotated analysis result of the source text collection, comprising a second group of text sequences and a set of evidence mappings generated by an evidence mapping model. an evidence mapping indicates, for a particular text sequence of the second group, another text sequence of the first group which provides evidence for the particular text sequence. a quality metric of the model is obtained using an automated evaluation methodology in which a question is generated from the particular text sequence, and an analysis of a pair of answers (including an answer generated using an evidence mapping) to the question is performed. the quality metric is provided via a programmatic interface.
Inventor(s): Bartholomeus Johannes Machielse of Somerville MA (US) for amazon technologies, inc., Beibei Zeng of Medford MA (US) for amazon technologies, inc., Chawina De-Eknamkul of Cambridge MA (US) for amazon technologies, inc., Daniel Riedel of Cambridge MA (US) for amazon technologies, inc.
IPC Code(s): G06N10/40
CPC Code(s): G06N10/40
Abstract: systems and methods for securing optical fibers with complimentary tapered ends are described. in some embodiments, optical fibers are aligned to form an adiabatic coupling, and a first one of the optical fibers is secured, via an adhesive, to a structure of an optical device hosting a second one of the optical fibers with which the first optical fibers is coupled. the first and second optical fibers, coupled and secured using the adhesive, are then immersed in a photo-active liquid polymer and two-photon lithography is used to form an additional securing structure around the adiabatically coupled ends of the first and second optical fibers. the additional securing structure is configured to maintain the adiabatic coupling throughout various mechanical and/or thermal shocks the adiabatically coupled fibers may encounter.
Inventor(s): Christopher Denis Scalabrini of Kirkland WA (US) for amazon technologies, inc., Adam Julio Villalobos of Mountlake Terrace WA (US) for amazon technologies, inc.
IPC Code(s): G06Q10/0631
CPC Code(s): G06Q10/06312
Abstract: automated scaling-related operations may be performed dynamically during execution of a spatial simulation. a spatial partition may be locally reassigned, based on application workload information, from a first application to a second application on the same worker. a quantity of applications on a worker may also be changed during execution of a spatial simulation. a parent spatial partition may be split into child spatial partitions, and child partitions may also be merged back into a common parent partition. indications of partition splits and merges on each of a plurality of workers may be reported to the plurality of workers. a spatial partition may also be remotely reassigned from a first worker to a second worker, such as based on worker-level resource consumption information and partition information. a quantity of workers that are used to implement a spatial simulation may also be changed during execution of the spatial simulation.
Inventor(s): Howie Ho Wai Lau of Seattle WA (US) for amazon technologies, inc., Jennifer Li of Seattle WA (US) for amazon technologies, inc.
IPC Code(s): G06V40/10, G06F18/25, G06Q30/0601, G06V40/50, G06V40/60
CPC Code(s): G06V40/107
Abstract: this disclosure describes techniques for providing instructions when receiving biometric data associated with a user. for instance, an electronic device may detect a portion of a user, such as a hand. the electronic device may then determine locations of the portion of the user relative to the electronic device. based on the locations, the electronic device may cause a visual indicator to provide instructions to the user for placing the portion of the user at a target location relative to the electronic device. for example, the visual indicator may emit light indicating that the portion of the user is off-centered, angled, too low, and/or too high. after providing the instructions and determining that the portion of the user is at the target location, the electronic device may capture at least an image of the portion of the user and use the image to identify an account.
Inventor(s): Eric S. Micko of San Jose CA (US) for amazon technologies, inc., Sonny Windstrup Rasmussen of Singapore (SG) for amazon technologies, inc.
IPC Code(s): G08B13/191, G08B13/196
CPC Code(s): G08B13/191
Abstract: this disclosure describes techniques for optimizing motion detection in systems that use passive infrared (pir) detectors. the techniques comprise generating a first signal and a second signal by two sets of detector elements. the techniques further involve calculating a sum of the first signal and the second signal as well as a difference between the first signal and the second signal. the techniques may comprise determining whether a slope of either the sum or the difference exceeds a threshold slope value. if the slope exceeds the threshold slope value, a determination may be made as to whether an amplitude of the sum or difference exceeds a detection threshold. if the amplitude does exceed the detection threshold, then a motion detection event is detected. if the slope does not exceed the threshold slope value, the first signal and the second signal are zeroed out.
20250006196. NATURAL LANGUAGE GENERATION_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Hann Wang of Santa Clara CA (US) for amazon technologies, inc., Angeliki Metallinou of Mountain View CA (US) for amazon technologies, inc., Melanie C B Gens of Honolulu HI (US) for amazon technologies, inc., Arijit Biswas of Dublin CA (US) for amazon technologies, inc., Ying Shi of Bellevue WA (US) for amazon technologies, inc.
IPC Code(s): G10L15/26, G10L13/08
CPC Code(s): G10L15/26
Abstract: techniques for generating a prompt for a language model to determine an action responsive to a user input, are described. in some embodiments, the system receives a user input, determines one or more application programming interfaces (apis) configured to perform actions that are relevant to the user input and exemplars representing examples of using the apis with respect to user inputs similar to the current user input. the system further determines device states of devices that are determined to be related to the user input and also determines other contextual information (e.g., weather information, time of day, geographic location, etc.). the system generates a prompt including the user input, the apis, the exemplars, the device states, and the other contextual information. a language model processes the prompt to determine an action responsive to the user input and the system causes performance of the action.
Inventor(s): Ravi Ichapurapu of Morgan Hill CA (US) for amazon technologies, inc.
IPC Code(s): H04B1/16
CPC Code(s): H04B1/16
Abstract: technologies directed to reducing switching latency between different modulation schemes are described. one sub-gigahertz (sub-ghz) receiver includes radio frequency (rf) circuitry, an analog-to-digital converter (adc), a first module, and a second module. the adc can generate in-phase and quadrature samples (iq samples) representing an rf signal received by the sub-ghz receiver. the first module can demodulate the iq samples according to a first modulation scheme, and the second module can demodulate the iq samples according to a second modulation scheme different from the first modulation scheme. the first module and the second module can concurrently demodulate the iq samples.
Inventor(s): Giacomo Bernardi of Bologna (IT) for amazon technologies, inc.
IPC Code(s): H04B10/70, H04B10/079, H04B10/25
CPC Code(s): H04B10/70
Abstract: a system and method for distributing quantum entanglement using optically protected fiber optical paths is described. in some embodiments, multiple optical paths are used to connect a source site to a receiver site. quantum entangled particles are transmitted from the source site to the receiver site using a first one of the multiple optical paths and related service channel information is transmitted from the source site to the receiver site using a second one of the multiple optical paths. in response to a failure of either the first or second optical path, an entanglement distribution controller automatically updates the routing such that the service channel information and the quantum entangled particles are routed concurrently on a remaining one of the first or second optical path.
20250007877. SERVICE DISCOVERY AND RENAMING_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Alireza Farhangi of Vancouver (CA) for amazon technologies, inc.
IPC Code(s): H04L61/4511, G06F16/951, H04L61/3015, H04L61/4541, H04L67/55
CPC Code(s): H04L61/4511
Abstract: a provider network implements service discovery and renaming. a provider network includes a domain name service (dns) and a renaming tool. the dns receives queries for service names and sends query logs to a data store. each query log indicates the queried name and a network address (e.g., ip address). a user may request that the service be renamed to a new name. in response, the renaming tool adds a new entry to for the new name to the dns. the renaming tool retrieves data from the query logs and identifies clients of the service. the renaming tool sends a notification to the identified clients that the name has changed to the new name. the renaming manger retrieves additional data from the query logs to identify how many of the clients have switched to using the new name. after enough clients have switched, the old name may be decommissioned.
20250007894. CRYPTOGRAPHIC MESSAGING DEVICE_simplified_abstract_(amazon technologies, inc.)
Inventor(s): David M. NOLTON of Ashburn VA (US) for amazon technologies, inc., Jose TROCHE of Gaithersburg MD (US) for amazon technologies, inc., Richard M. WEATHERLY of Vienna VA (US) for amazon technologies, inc., Robert Hill BOLLING of North Chesterfield VA (US) for amazon technologies, inc.
IPC Code(s): H04L9/40, H04L9/08
CPC Code(s): H04L63/0442
Abstract: techniques for cryptographic messaging are described. in some examples, cryptographic messaging is enabled on a device that at least includes an input/output port configured to receive an encrypted message from a coupled external device; a hardware security module (hsm) configured to decrypt the encrypted message, wherein the hsm is to include storage to store at least one private key to be used to decrypt the encrypted message; and a screen to display contents of the decrypted message.
20250007959. DYNAMIC SECURITY POLICY MANAGEMENT_simplified_abstract_(amazon technologies, inc.)
Inventor(s): Justin Paul Yancey of Seattle WA (US) for amazon technologies, inc.
IPC Code(s): H04L9/40
CPC Code(s): H04L63/205
Abstract: security policies can be dynamically updated in response to changes in endpoints associated with those policies. a user can indicate one or more regions or networks from which access is to be granted under a specific security policy. the user can subscribe to receive notifications upon a change relating to those endpoints, such as the addition or removal of one or more endpoints. when a change is detected, new policy information can be generated automatically and published for subscribed policies, which can then have the updates applied automatically or provided for manual review and application. such a process enables access determinations to be made based upon up-to-date endpoint information.
Amazon Technologies, Inc. patent applications on January 2nd, 2025
- Amazon Technologies, Inc.
- A63F13/355
- A63F13/358
- CPC A63F13/355
- Amazon technologies, inc.
- C12Q1/6886
- A61K39/00
- CPC C12Q1/6886
- G06F3/01
- G06F3/0481
- G06F3/04842
- G06F3/16
- G06F9/451
- G06T7/70
- G10L15/22
- CPC G06F3/013
- G06F3/06
- CPC G06F3/0622
- G06F9/455
- G06F9/48
- G06F9/50
- H04L67/54
- CPC G06F9/455
- G06F9/52
- CPC G06F9/52
- G06F16/332
- G06F9/54
- G06F16/33
- CPC G06F16/3329
- G06F21/16
- G06F40/126
- G06F16/338
- G06F40/30
- G06F40/40
- G06N20/00
- CPC G06F16/3344
- G06F16/34
- G06F40/169
- CPC G06F16/345
- G06F40/284
- CPC G06F40/284
- G06F40/20
- CPC G06F40/40
- G06N10/40
- CPC G06N10/40
- G06Q10/0631
- CPC G06Q10/06312
- G06V40/10
- G06F18/25
- G06Q30/0601
- G06V40/50
- G06V40/60
- CPC G06V40/107
- G08B13/191
- G08B13/196
- CPC G08B13/191
- G10L15/26
- G10L13/08
- CPC G10L15/26
- H04B1/16
- CPC H04B1/16
- H04B10/70
- H04B10/079
- H04B10/25
- CPC H04B10/70
- H04L61/4511
- G06F16/951
- H04L61/3015
- H04L61/4541
- H04L67/55
- CPC H04L61/4511
- H04L9/40
- H04L9/08
- CPC H04L63/0442
- CPC H04L63/205
