Patents by Inventor Abhay Kulkarni
Abhay Kulkarni 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).
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Publication number: 20230344841Abstract: The technology relates to machine responses to anomalies detected using machine learning based anomaly detection. In particular, to receiving evaluations of production events, prepared using activity models constructed on per-tenant and per-user basis using an online streaming machine learner that transforms an unsupervised learning problem into a supervised learning problem by fixing a target label and learning a regressor without a constant or intercept. Further, to responding to detected anomalies in near real-time streams of security-related events of tenants, the anomalies detected by transforming the events in categorized features and requiring a loss function analyzer to correlate, essentially through an origin, the categorized features with a target feature artificially labeled as a constant.Type: ApplicationFiled: July 5, 2023Publication date: October 26, 2023Inventors: Jeevan Tambuluri, Ravi Ithal, Steve Malmskog, Abhay Kulkarni, Ariel Faigon, Krishna Narayanaswamy
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Publication number: 20230285689Abstract: A nasal dispensing device and pharmaceutical composition includes a container; a dispenser head having at least a pump, a dispensing channel, and a dispensing orifice; a dip tube; and a pharmaceutical composition comprising mometasone, an ester thereof (e.g., mometasone furoate), or a salt thereof and olopatadine or its salt (e.g., olopatadine hydrochloride). The container can have a conically shaped internal bottom, angled downwardly toward a center, and a further angularly deepened well, centrally located, with the dip tube extending into the well. An optional cap is provided that includes a sealing sleeve communicating in a seal tight manner with a perimeter of a lateral wall of the dispenser head.Type: ApplicationFiled: May 1, 2023Publication date: September 14, 2023Inventors: Ulhas R. DHUPPAD, Ashok KATKURWAR, Yashwant GUPTA, Rajesh ANKAM, Chandrakant DHATRAK, Neelima KHAIRATKAR-JOSHI, Abhay KULKARNI, Dinesh Pradeep WALE, Vikram Mansingh BHOSALE, Piyush AGARWAL, Patrick KEOHANE, Sudeesh K. TANTRY, Chad OH
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Patent number: 11743275Abstract: The technology relates to machine responses to anomalies detected using machine learning based anomaly detection. In particular, to receiving evaluations of production events, prepared using activity models constructed on per-tenant and per-user basis using an online streaming machine learner that transforms an unsupervised learning problem into a supervised learning problem by fixing a target label and learning a regressor without a constant or intercept. Further, to responding to detected anomalies in near real-time streams of security-related events of tenants, the anomalies detected by transforming the events in categorized features and requiring a loss function analyzer to correlate, essentially through an origin, the categorized features with a target feature artificially labeled as a constant.Type: GrantFiled: May 27, 2021Date of Patent: August 29, 2023Assignee: Netskope, Inc.Inventors: Jeevan Tambuluri, Ravi Ithal, Steve Malmskog, Abhay Kulkarni, Ariel Faigon, Krishna Narayanaswamy
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Publication number: 20230246963Abstract: A switch includes memory including a flow table. The flow table includes a flow key database and a flow policy database for flows in a network associated with the switch. The switch includes a security processor including an exact match engine. The exact match engine manages the flow table in the memory. The exact match engine includes a learn cache configured to store key entries for storage in the flow key database.Type: ApplicationFiled: January 31, 2022Publication date: August 3, 2023Inventors: Abhay Kulkarni, Rajan Sharma, Oron Levi, Vamsi Tatapudi, Mosi Ravia
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Patent number: 11679210Abstract: A nasal dispensing device and pharmaceutical composition includes a container; a dispenser head having at least a pump, a dispensing channel, and a dispensing orifice; a dip tube; and a pharmaceutical composition comprising mometasone, an ester thereof (e.g., mometasone furoate), or a salt thereof and olopatadine or its salt (e.g., olopatadine hydrochloride). The container can have a conically shaped internal bottom, angled downwardly toward a center, and a further angularly deepened well, centrally located, with the dip tube extending into the well. An optional cap is provided that includes a sealing sleeve communicating in a seal tight manner with a perimeter of a lateral wall of the dispenser head.Type: GrantFiled: June 28, 2018Date of Patent: June 20, 2023Assignee: GLENMARK SPECIALTY S.A.Inventors: Ulhas R. Dhuppad, Ashok Katkurwar, Yashwant Gupta, Rajesh Ankam, Chandrakant Dhatrak, Neelima Khairatkar-Joshi, Abhay Kulkarni, Dinesh Pradeep Wale, Vikram Mansingh Bhosale, Piyush Agarwal, Patrick Keohane, Sudeesh K. Tantry, Chad Oh
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Patent number: 11551105Abstract: Client instance data including a plurality of incidents and a plurality of knowledge elements comprising information relating to resolving one or more of the plurality of incidents is obtained. A validation set is built based on the obtained client instance data, the validation set including fingerprint data of plural fingerprints of known incident-knowledge relationships, each of fingerprint representing a link between one of the incidents and one of the knowledge elements used for resolving the incident. A knowledge element class is predicted from among plural knowledge element classes for each of knowledge element based on the built validation set, the plural knowledge element classes being defined based on respective threshold values indicating a quality of coverage provided by a knowledge element for resolving an incident. Classification data of the plural knowledge elements classified into the plural knowledge element classes is presented with the obtained client instance data.Type: GrantFiled: April 20, 2018Date of Patent: January 10, 2023Assignee: ServiceNow, Inc.Inventors: Bruce Walthers, Mukund Ramachandran, Lingzhu Li, Abhay Kulkarni
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Publication number: 20220387452Abstract: The present invention relates to a method of treating allergic rhinitis in a subject (e.g., a pediatric human subject) in need thereof comprising nasally administering to the subject an effective amount of a fixed-dose pharmaceutical composition comprising mometasone or its salt and olopatadine or its salt.Type: ApplicationFiled: June 17, 2022Publication date: December 8, 2022Inventors: Neelima KHAIRATKAR-JOSHI, Abhay KULKARNI, Dinesh Pradeep WALE, Vikram M. BHOSALE, Piyush AGARWAL, Patrick KEOHANE, Sudeesh K. TANTRY, Chad OH
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Publication number: 20220292415Abstract: An example embodiment includes determining, from a target set of incident reports, a set of putative steps; determining a set of playbook steps by identifying a set of clusters within the set of putative steps, wherein each playbook step of the set of playbook steps corresponds to a respective cluster within the identified set of clusters, and wherein each cluster within the identified set of clusters contains at least one putative step of the set of putative steps; determining a sequence for the set of playbook steps based on an ordering of the putative steps within the target set of incident reports and the correspondences between the putative steps and the identified set of clusters; and displaying, on a user interface, an indication of the set of playbook steps according to the determined sequence for the set of playbook steps.Type: ApplicationFiled: March 10, 2021Publication date: September 15, 2022Inventors: Bruce Walthers, Dinesh Kumar Kishorkumar Surapaneni, Jeevan Anand Anne, Abhay Kulkarni, Sheeba Srinivasan
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Patent number: 11400101Abstract: The present invention relates to a method of treating allergic rhinitis in a subject (e.g., a pediatric human subject) in need thereof comprising nasally administering to the subject an effective amount of a fixed-dose pharmaceutical composition comprising mometasone or its salt and olopatadine or its salt.Type: GrantFiled: August 26, 2020Date of Patent: August 2, 2022Assignee: GLENMARK SPECIALTY S.A.Inventors: Neelima Khairatkar-Joshi, Abhay Kulkarni, Dinesh Pradeep Wale, Vikram M. Bhosale, Piyush Agarwal, Patrick Keohane, Sudeesh K. Tantry, Chad Oh
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Patent number: 11314305Abstract: Methods and systems are described that improve simulations which use thermal models to test dynamic thermal mitigation of devices, such as smartphones. These methods and systems can use a thermal Reduced Order Model (ROM) that is trained through machine learning to provide efficient systems that can significantly reduce the time and computational resources required to build a simulation of a device's thermal behavior. The thermal model can be used in different usage scenarios with different power management and thermal management controls to test the device's thermal behavior.Type: GrantFiled: October 1, 2019Date of Patent: April 26, 2022Assignee: ANSYS, INC.Inventors: Aniket Abhay Kulkarni, Shitalkumar Joshi
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Patent number: 11250195Abstract: Machine assisted system and method for performing dynamic thermal management (DTM) analysis are described. In one embodiment, the method can include receiving a power profile associated with IP blocks in an integrated circuit (IC) system modeled by a Krylov reduced order model (ROM). The power profile can represent power consumption of each of the blocks based on a predefined operating scenario. The method can additionally include evaluating the temperature of each of the blocks of the IC system for the current time step based on the power profile and the Krylov ROM. The method can further include calculating new power values based on the current temperature field of each of the blocks of the IC system, wherein the power profile can be updated with the new power value for the temperature of each of the blocks of the IC system for the next time step.Type: GrantFiled: August 14, 2020Date of Patent: February 15, 2022Assignee: ANSYS, INC.Inventors: Myunghoon Lee, Vamsi Krishna Yaddanapudi, Aniket Abhay Kulkarni
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Publication number: 20210288983Abstract: The technology relates to machine responses to anomalies detected using machine learning based anomaly detection. In particular, to receiving evaluations of production events, prepared using activity models constructed on per-tenant and per-user basis using an online streaming machine learner that transforms an unsupervised learning problem into a supervised learning problem by fixing a target label and learning a regressor without a constant or intercept. Further, to responding to detected anomalies in near real-time streams of security-related events of tenants, the anomalies detected by transforming the events in categorized features and requiring a loss function analyzer to correlate, essentially through an origin, the categorized features with a target feature artificially labeled as a constant.Type: ApplicationFiled: May 27, 2021Publication date: September 16, 2021Applicant: Netskope, Inc.Inventors: Jeevan TAMBULURI, Ravi ITHAL, Steve MALMSKOG, Abhay KULKARNI, Ariel FAIGON, Krishna NARAYANASWAMY
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Publication number: 20210264086Abstract: Machine assisted system and method for performing dynamic thermal management (DTM) analysis are described. In one embodiment, the method can include receiving a power profile associated with IP blocks in an integrated circuit (IC) system modeled by a Krylov reduced order model (ROM). The power profile can represent power consumption of each of the blocks based on a predefined operating scenario. The method can additionally include evaluating the temperature of each of the blocks of the IC system for the current time step based on the power profile and the Krylov ROM. The method can further include calculating new power values based on the current temperature field of each of the blocks of the IC system, wherein the power profile can be updated with the new power value for the temperature of each of the blocks of the IC system for the next time step.Type: ApplicationFiled: August 14, 2020Publication date: August 26, 2021Inventors: Myunghoon LEE, Vamsi Krishna YADDANAPUDI, Aniket Abhay KULKARNI
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Publication number: 20210226998Abstract: The technology disclosed relates to a proxy receiving a request to manipulate a data object on an independent object store. The proxy is interposed between a user system from which the request originates and the independent object store. The technology disclosed further relates to the proxy accessing a metadata store that contains object metadata for the data object and retrieving the object metadata. The technology disclosed further relates to the proxy enforcing a policy on the request based on the object metadata. Enforcing the policy further includes enforcing malware detection policies and threat detection policies.Type: ApplicationFiled: April 9, 2021Publication date: July 22, 2021Applicant: Netskope, Inc.Inventors: Krishna NARAYANASWAMY, Lebin CHENG, Abhay KULKARNI, Ravi ITHAL, Chetan ANAND, Rajneesh CHOPRA
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Publication number: 20210220574Abstract: A nasal dispensing device and pharmaceutical composition includes a container; a dispenser head having at least a pump, a dispensing channel, and a dispensing orifice; a dip tube; and a pharmaceutical composition comprising mometasone, an ester thereof (e.g., mometasone furoate), or a salt thereof and olopatadine or its salt (e.g., olopatadine hydrochloride). The container can have a conically shaped internal bottom, angled downwardly toward a center, and a further angularly deepened well, centrally located, with the dip tube extending into the well. An optional cap is provided that includes a sealing sleeve communicating in a seal tight manner with a perimeter of a lateral wall of the dispenser head.Type: ApplicationFiled: June 28, 2018Publication date: July 22, 2021Inventors: Ulhas R. Dhuppad, Ashok Katkurwar, Yashwant Gupta, Rajesh Ankam, Chandrakant Dhatrak, Neelima Khairatkar-Joshi, Abhay Kulkarni, Dinesh Pradeep Wale, Vikram Mansignh Bhosale, Piyush Agarwal, Patrick Keohane, Sudeesh K. Tantry, Chad Oh
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Patent number: 11062324Abstract: Client instance data including a plurality of incidents is obtained, each incident including a plurality of fields. A target field and an evaluation field are selected from among the plural fields. The plurality of incidents are grouped into a plurality of clusters based on a degree of a natural language text similarity of respective target fields in the plurality of incidents. A quality value is determined for each of the plurality of clusters based on the degree of the natural language text similarity of respective target fields in grouped incidents of the cluster from among the plurality of incidents, and based on respective evaluation fields. Each of the plurality of clusters is ranked based on the respective quality value of the cluster and a number of the grouped incidents of the cluster. At least one of the ranked plurality of clusters is identified to perform a service management operation.Type: GrantFiled: July 16, 2019Date of Patent: July 13, 2021Assignee: ServiceNow, Inc.Inventors: Bruce Walthers, Abhay Kulkarni, Mukund Ramachandran, Darius Koohmarey
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Patent number: 11025653Abstract: The technology disclosed relates to machine learning based anomaly detection. In particular, it relates to constructing activity models on per-tenant and per-user basis using an online streaming machine learner that transforms an unsupervised learning problem into a supervised learning problem by fixing a target label and learning a regressor without a constant or intercept. Further, it relates to detecting anomalies in near real-time streams of security-related events of one or more tenants by transforming the events in categorized features and requiring a loss function analyzer to correlate, essentially through an origin, the categorized features with a target feature artificially labeled as a constant. It further includes determining an anomaly score for a production event based on calculated likelihood coefficients of categorized feature-value pairs and a prevalencist probability value of the production event comprising the coded features-value pairs.Type: GrantFiled: April 19, 2019Date of Patent: June 1, 2021Assignee: Netskope, Inc.Inventors: Ariel Faigon, Krishna Narayanaswamy, Jeevan Tambuluri, Ravi Ithal, Steve Malmskog, Abhay Kulkarni
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Patent number: 11019101Abstract: The technology disclosed relates to enforcing multi-part policies on data-deficient transactions of independent data stores. In particular, it relates to combining active analysis of access requests for the independent object stores with inspection of objects in the independent object stores, each of the analysis and inspection generating and persisting object metadata in a supplemental data store, actively processing data-deficient transactions that apply to the objects by accessing the supplemental data store to retrieve object metadata not available in transaction streams of the data-deficient transactions, and actively enforcing the multi-part policies using the retrieved object metadata.Type: GrantFiled: December 2, 2016Date of Patent: May 25, 2021Assignee: NetSkope, Inc.Inventors: Krishna Narayanaswamy, Lebin Cheng, Abhay Kulkarni, Ravi Ithal, Chetan Anand, Rajneesh Chopra
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Patent number: 10979458Abstract: The technology disclosed relates to enforcing multi-part policies on data-deficient transactions of independent data stores. In particular, it relates to combining active analysis of access requests for the independent object stores with inspection of objects in the independent object stores, each of the analysis and inspection generating and persisting object metadata in a supplemental data store, actively processing data-deficient transactions that apply to the objects by accessing the supplemental data store to retrieve object metadata not available in transaction streams of the data-deficient transactions, and actively enforcing the multi-part policies using the retrieved object metadata.Type: GrantFiled: May 10, 2019Date of Patent: April 13, 2021Assignee: Netskope, Inc.Inventors: Krishna Narayanaswamy, Lebin Cheng, Abhay Kulkarni, Ravi Ithal, Chetan Anand, Rajneesh Chopra
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Publication number: 20210077506Abstract: The present invention relates to a method of treating allergic rhinitis in a subject (e.g., a pediatric human subject) in need thereof comprising nasally administering to the subject an effective amount of a fixed-dose pharmaceutical composition comprising mometasone or its salt and olopatadine or its salt.Type: ApplicationFiled: August 26, 2020Publication date: March 18, 2021Inventors: Neelima Khairatkar-Joshi, Abhay Kulkarni, Pradeep D. Wale, Vikram M. Bhosale, Piyush Agarwal, Patrick Keohane, Sudeesh K. Tantry, Chad Oh