Patents by Inventor Attila Kiss

Attila Kiss has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20200171294
    Abstract: A fluid connector for use with an infusion set. The fluid connector includes a housing having a cannula integral with and extending distally from a proximal interior surface of the housing. A proximal exterior surface of the housing has a flattened portion with a raised tactile feature centered about a longitudinal axis of the cannula to aid a user in connecting the fluid connector with an infusion set base.
    Type: Application
    Filed: November 27, 2019
    Publication date: June 4, 2020
    Applicant: Becton, Dickinson and Company
    Inventors: Rachel Turner, Victor lsaac Politis, Alex Chaves, Gail Marie Siewiorek, Eric Bene, Attila Kiss, Megan Kohnen, Marc Hunter, Laurie Bums, Gail Hunter, Max Ryan
  • Patent number: 10654849
    Abstract: Compounds of formula (I): wherein R1, R2, J, K, L, n and W are as defined in the description. Medicinal products containing the same which are useful in treating conditions requiring pro-apoptotic and/or anti-proliferative agents.
    Type: Grant
    Filed: June 9, 2017
    Date of Patent: May 19, 2020
    Assignees: LES LABORATOIRES SERVIER, VERNALIS (R&D) LTD
    Inventors: András Kotschy, Csaba Wéber, Attila Vasas, Balázs Molnár, árpád Kiss, Alba Macias, James Brooke Murray, Elodie Lewkowicz, Olivier Geneste, Mäia Chanrion, Didier Demarles, Lisa Ivanschitz
  • Publication number: 20190356043
    Abstract: A rod antenna includes a jacket enclosing an electrical conductor acting as an antenna. The jacket has a groove extending in a spiral manner in an axial direction of the rod antenna.
    Type: Application
    Filed: August 2, 2019
    Publication date: November 21, 2019
    Applicant: Hirschmann Car Communication GmbH
    Inventors: Janos Kiss, Attila Berecz, Attila Laurinyecz
  • Publication number: 20190325873
    Abstract: Features are disclosed for processing a user utterance with respect to multiple subject matters or domains, and for selecting a likely result from a particular domain with which to respond to the utterance or otherwise take action. A user utterance may be transcribed by an automatic speech recognition (“ASR”) module, and the results may be provided to a multi-domain natural language understanding (“NLU”) engine. The multi-domain NLU engine may process the transcription(s) in multiple individual domains rather than in a single domain. In some cases, the transcription(s) may be processed in multiple individual domains in parallel or substantially simultaneously. In addition, hints may be generated based on previous user interactions and other data. The ASR module, multi-domain NLU engine, and other components of a spoken language processing system may use the hints to more efficiently process input or more accurately generate output.
    Type: Application
    Filed: May 1, 2019
    Publication date: October 24, 2019
    Inventors: Lambert Mathias, Ying Shi, Imre Attila Kiss, Ryan Paul Thomas, Frederic Johan Georges Deramat
  • Patent number: 10453117
    Abstract: A system capable of performing natural language understanding (NLU) using different application domains in parallel. A model takes incoming query text and determines a list of potential supplemental intent categories corresponding to the text. Supplemental applications within those categories are then identified as likely candidates for responding to the query. Application specific domains, including NLU components for the particular supplemental applications, are then activated and process the query text in parallel. Further, certain system default domains may also process incoming queries substantially in parallel with the supplemental applications. The different results are scored and ranked to determine highest scoring NLU results.
    Type: Grant
    Filed: June 29, 2016
    Date of Patent: October 22, 2019
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Simon Peter Reavely, Rohit Prasad, Imre Attila Kiss, Manoj Sindhwani
  • Publication number: 20190318737
    Abstract: In speech processing systems personalization is added in the Natural Language Understanding (NLU) processor by incorporating external knowledge sources of user information to improve entity recognition performance of the speech processing system. Personalization in the NLU is effected by incorporating one or more dictionaries of entries, or gazetteers, with information personal to a respective user, that provide the user's information to permit disambiguation of semantic interpretation for input utterances to improve quality of speech processing results.
    Type: Application
    Filed: February 13, 2019
    Publication date: October 17, 2019
    Inventors: Imre Attila Kiss, Arthur Richard Toth, Lambert Mathias
  • Publication number: 20190144448
    Abstract: Compounds of formula (I): wherein R1, R2, R3, n and W are as defined in the description. Medicinal products containing the same which are useful in treating conditions requiring pro-apoptotic and/or anti-proliferative agents.
    Type: Application
    Filed: June 9, 2017
    Publication date: May 16, 2019
    Inventors: András KOTSCHY, Csaba WÉBER, Attila VASAS, Balázs MOLNÁR, Árpád KISS, Alba MACIAS, James Brooke MURRAY, Elodie LEWKOWICZ, Olivier GENESTE, Maïa CHANRION, Didier DEMARLES
  • Publication number: 20190144449
    Abstract: Compounds of formula (I): wherein R1, R2, J, K, L, n and W are as defined in the description. Medicinal products containing the same which are useful in treating conditions requiring pro-apoptotic and/or anti-proliferative agents.
    Type: Application
    Filed: June 9, 2017
    Publication date: May 16, 2019
    Inventors: András KOTSCHY, Csaba WÉBER, Attila VASAS, Balázs MOLNÁR, Árpád KISS, Alba MACIAS, James Brooke MURRAY, Elodie LEWKOWICZ, Olivier GENESTE, Maïa CHANRION, Didier DEMARLES, Lisa IVANSCHITZ
  • Patent number: 10283119
    Abstract: Features are disclosed for processing a user utterance with respect to multiple subject matters or domains, and for selecting a likely result from a particular domain with which to respond to the utterance or otherwise take action. A user utterance may be transcribed by an automatic speech recognition (“ASR”) module, and the results may be provided to a multi-domain natural language understanding (“NLU”) engine. The multi-domain NLU engine may process the transcription(s) in multiple individual domains rather than in a single domain. In some cases, the transcription(s) may be processed in multiple individual domains in parallel or substantially simultaneously. In addition, hints may be generated based on previous user interactions and other data. The ASR module, multi-domain NLU engine, and other components of a spoken language processing system may use the hints to more efficiently process input or more accurately generate output.
    Type: Grant
    Filed: April 30, 2018
    Date of Patent: May 7, 2019
    Assignee: Amazon Technologies, Inc.
    Inventors: Lambert Mathias, Ying Shi, Imre Attila Kiss, Ryan Paul Thomas, Frederic Johan Georges Deramat
  • Patent number: 10224030
    Abstract: In speech processing systems personalization is added in the Natural Language Understanding (NLU) processor by incorporating external knowledge sources of user information to improve entity recognition performance of the speech processing system. Personalization in the NLU is effected by incorporating one or more dictionaries of entries, or gazetteers, with information personal to a respective user, that provide the user's information to permit disambiguation of semantic interpretation for input utterances to improve quality of speech processing results.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: March 5, 2019
    Assignee: AMAZON TECHNOLOGIES, INC.
    Inventors: Imre Attila Kiss, Arthur Richard Toth, Lambert Mathias
  • Patent number: 10140581
    Abstract: Features are disclosed for generating models, such as conditional random field (“CRF”) models, that consume less storage space and/or transmission bandwidth than conventional models. In some embodiments, the generated CRF models are composed of fewer or alternate components in comparison with conventional CRF models. For example, a system generating such CRF models may forgo the use of large dictionaries or other cross-reference lists that map information extracted from input (e.g., “features”) to model parameters; reduce in weight (or exclude altogether) certain model parameters that may not have a significant effect on model accuracy; and/or reduce the numerical precision of model parameters.
    Type: Grant
    Filed: December 22, 2014
    Date of Patent: November 27, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Imre Attila Kiss, Wei Chen, Anjishnu Kumar
  • Publication number: 20180315425
    Abstract: Features are disclosed for processing a user utterance with respect to multiple subject matters or domains, and for selecting a likely result from a particular domain with which to respond to the utterance or otherwise take action. A user utterance may be transcribed by an automatic speech recognition (“ASR”) module, and the results may be provided to a multi-domain natural language understanding (“NLU”) engine. The multi-domain NLU engine may process the transcription(s) in multiple individual domains rather than in a single domain. In some cases, the transcription(s) may be processed in multiple individual domains in parallel or substantially simultaneously. In addition, hints may be generated based on previous user interactions and other data. The ASR module, multi-domain NLU engine, and other components of a spoken language processing system may use the hints to more efficiently process input or more accurately generate output.
    Type: Application
    Filed: April 30, 2018
    Publication date: November 1, 2018
    Inventors: Lambert Mathias, Ying Shi, Imre Attila Kiss, Ryan Paul Thomas, Frederic Johan Georges Deramat
  • Patent number: 10102851
    Abstract: Incremental speech recognition results are generated and used to determine a user's intent from an utterance. Utterance audio data may be partitioned into multiple portions, and incremental speech recognition results may be generated from one or more of the portions. A natural language understanding module or some other language processing module can generate semantic representations of the utterance from the incremental speech recognition results. Stability of the determined intent may be determined over the course of time, and actions may be taken in response to meeting certain stability thresholds.
    Type: Grant
    Filed: August 28, 2013
    Date of Patent: October 16, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Imre Attila Kiss, Hugh Evan Secker-Walker
  • Patent number: 9959869
    Abstract: Features are disclosed for processing a user utterance with respect to multiple subject matters or domains, and for selecting a likely result from a particular domain with which to respond to the utterance or otherwise take action. A user utterance may be transcribed by an automatic speech recognition (“ASR”) module, and the results may be provided to a multi-domain natural language understanding (“NLU”) engine. The multi-domain NLU engine may process the transcription(s) in multiple individual domains rather than in a single domain. In some cases, the transcription(s) may be processed in multiple individual domains in parallel or substantially simultaneously. In addition, hints may be generated based on previous user interactions and other data. The ASR module, multi-domain NLU engine, and other components of a spoken language processing system may use the hints to more efficiently process input or more accurately generate output.
    Type: Grant
    Filed: September 4, 2017
    Date of Patent: May 1, 2018
    Assignee: Amazon Technologies, Inc.
    Inventors: Lambert Mathias, Ying Shi, Imre Attila Kiss, Ryan Paul Thomas, Frederic Johan Georges Deramat
  • Publication number: 20180012597
    Abstract: Features are disclosed for processing a user utterance with respect to multiple subject matters or domains, and for selecting a likely result from a particular domain with which to respond to the utterance or otherwise take action. A user utterance may be transcribed by an automatic speech recognition (“ASR”) module, and the results may be provided to a multi-domain natural language understanding (“NLU”) engine. The multi-domain NLU engine may process the transcription(s) in multiple individual domains rather than in a single domain. In some cases, the transcription(s) may be processed in multiple individual domains in parallel or substantially simultaneously. In addition, hints may be generated based on previous user interactions and other data. The ASR module, multi-domain NLU engine, and other components of a spoken language processing system may use the hints to more efficiently process input or more accurately generate output.
    Type: Application
    Filed: September 4, 2017
    Publication date: January 11, 2018
    Inventors: Lambert Mathias., Ying Shi., Imre Attila Kiss., Ryan Paul Thomas., Frederic Johan Georges Deramat.
  • Patent number: 9794762
    Abstract: A mobile device is shown in the role of a centralized message transfer agent wherein it manages all messaging for a user for most if not all the time so as to provide a unified messaging approach across all messaging platforms. Other platforms are shown using the mobile device in this unified way. Related systems, methods, integrated circuits, and software are also shown.
    Type: Grant
    Filed: September 27, 2006
    Date of Patent: October 17, 2017
    Assignee: NOKIA TECHNOLOGIES OY
    Inventors: Balazs Bakos, Jukka K. Nurminen, Attila Kiss, Zoltan Ivanfi, Gyula Kun-Szabo, Douglas Deeds
  • Patent number: 9754589
    Abstract: Features are disclosed for processing a user utterance with respect to multiple subject matters or domains, and for selecting a likely result from a particular domain with which to respond to the utterance or otherwise take action. A user utterance may be transcribed by an automatic speech recognition (“ASR”) module, and the results may be provided to a multi-domain natural language understanding (“NLU”) engine. The multi-domain NLU engine may process the transcription(s) in multiple individual domains rather than in a single domain. In some cases, the transcription(s) may be processed in multiple individual domains in parallel or substantially simultaneously. In addition, hints may be generated based on previous user interactions and other data. The ASR module, multi-domain NLU engine, and other components of a spoken language processing system may use the hints to more efficiently process input or more accurately generate output.
    Type: Grant
    Filed: September 2, 2016
    Date of Patent: September 5, 2017
    Assignee: Amazon Technologies, Inc.
    Inventors: Lambert Mathias, Ying Shi, Imre Attila Kiss, Ryan Paul Thomas, Frederic Johan Georges Deramat
  • Publication number: 20170116985
    Abstract: Features are disclosed for processing a user utterance with respect to multiple subject matters or domains, and for selecting a likely result from a particular domain with which to respond to the utterance or otherwise take action. A user utterance may be transcribed by an automatic speech recognition (“ASR”) module, and the results may be provided to a multi-domain natural language understanding (“NLU”) engine. The multi-domain NLU engine may process the transcription(s) in multiple individual domains rather than in a single domain. In some cases, the transcription(s) may be processed in multiple individual domains in parallel or substantially simultaneously. In addition, hints may be generated based on previous user interactions and other data. The ASR module, multi-domain NLU engine, and other components of a spoken language processing system may use the hints to more efficiently process input or more accurately generate output.
    Type: Application
    Filed: September 2, 2016
    Publication date: April 27, 2017
    Inventors: Lambert Mathias, Ying Shi, Imre Attila Kiss, Ryan Paul Thomas, Frederic Johan Georges Deramat
  • Patent number: 9436678
    Abstract: Features are disclosed for processing a user utterance with respect to multiple subject matters or domains, and for selecting a likely result from a particular domain with which to respond to the utterance or otherwise take action. A user utterance may be transcribed by an automatic speech recognition (“ASR”) module, and the results may be provided to a multi-domain natural language understanding (“NLU”) engine. The multi-domain NLU engine may process the transcription(s) in multiple individual domains rather than in a single domain. In some cases, the transcription(s) may be processed in multiple individual domains in parallel or substantially simultaneously. In addition, hints may be generated based on previous user interactions and other data. The ASR module, multi-domain NLU engine, and other components of a spoken language processing system may use the hints to more efficiently process input or more accurately generate output.
    Type: Grant
    Filed: June 29, 2015
    Date of Patent: September 6, 2016
    Assignee: Amazon Technologies, Inc.
    Inventors: Lambert Mathias, Ying Shi, Imre Attila Kiss, Ryan Paul Thomas, Frederic Johan Georges Deramat
  • Patent number: 9190055
    Abstract: Features are disclosed for generating and using personalized named entity recognition models. A personalized model can be trained for a particular user, and then interpolated with a general model for use in named entity recognition. In some embodiments, a model may be trained for a group of users, where the users share some similarity relevant to language processing. In some embodiments, various base models may be trained so as to provide better accuracy for certain types of language input than a general model. Users may be associated with any number of base models, and the associated based models may then be interpolated for use in named entity recognition on input from the corresponding user.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: November 17, 2015
    Assignee: Amazon Technologies, Inc.
    Inventors: Imre Attila Kiss, Lambert Mathias, Jeffrey Penrod Adams