Patents by Inventor Akash Anand
Akash Anand 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: 20240062860Abstract: Techniques are provided for computing with private healthcare data. The techniques include a method comprising constructing an isolated memory partition that forms a secure enclave and pre-provisioning software within the secure enclave. The pre-provisioned software is configured to receive at least one of input data or the instructions for the one or more application computing processes in an encrypted form; decrypt the at least one of input data or instructions using one or more cryptographic keys; execute the one or more application computing processes based on the decrypted at least one of input data or instructions to generate output data; generate a proof of execution that indicates that the one or more application computing processes operated on the received input data; encrypt the output data using the one or more cryptographic keys; and provide external access to the encrypted output data and the proof of execution.Type: ApplicationFiled: October 26, 2023Publication date: February 22, 2024Applicant: Nference, Inc.Inventors: Murali ARAVAMUDAN, Karthik MURUGADOSS, Sankar ARDHANARI, Ajit RAJASEKHARAN, Akash ANAND, Rakesh BARVE, Venkataramanan SOUNDARARAJAN, Samir AWASTHI, Tyler WAGNER, Shamim NAQVI
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Publication number: 20240046109Abstract: An apparatus and method for expanded cohort application of machine-learning classifier methods based on a seed data set. The apparatus comprises at least a processor configured to receive at least a labeled seed set, train an embedding model based on the seed data, determine a plurality of vector representations for both the seed set and the target data, identify commonalities between the seed vector representation and the target vector, and provide the vector training data to a supervised machine-learning application for subsequent classifications.Type: ApplicationFiled: August 4, 2023Publication date: February 8, 2024Applicant: Nference, Inc.Inventors: Akash ANAND, Shashank JAISWAL, Sairam BADE, Rakesh BARVE
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Patent number: 11848082Abstract: Techniques are provided for computing with private healthcare data. The techniques include a method comprising constructing an isolated memory partition that forms a secure enclave and pre-provisioning software within the secure enclave. The pre-provisioned software is configured to receive at least one of input data or the instructions for the one or more application computing processes in an encrypted form; decrypt the at least one of input data or instructions using one or more cryptographic keys; execute the one or more application computing processes based on the decrypted at least one of input data or instructions to generate output data; generate a proof of execution that indicates that the one or more application computing processes operated on the received input data; encrypt the output data using the one or more cryptographic keys; and provide external access to the encrypted output data and the proof of execution.Type: GrantFiled: September 27, 2022Date of Patent: December 19, 2023Assignee: Nference, Inc.Inventors: Murali Aravamudan, Karthik Murugadoss, Sankar Ardhanari, Ajit Rajasekharan, Akash Anand, Rakesh Barve, Venkataramanan Soundararajan, Samir Awasthi, Tyler Wagner, Shamim Naqvi
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Publication number: 20230125073Abstract: In one aspect, a method is disclosed that includes selecting a first plurality of input candidates from a corpus of data; mapping the first plurality of input candidates onto a pretrained vector space of a pretrained model; clustering the first plurality of input candidates in the pretrained vector space; adding the first plurality of input candidates to a plurality of queues for labelling; and labelling the first plurality of input candidates.Type: ApplicationFiled: October 20, 2022Publication date: April 27, 2023Inventors: Bharathwaj RAGHUNATHAN, Rakesh BARVE, Sairam BADE, Vishal JAIN, Akash ANAND, Ajit RAJASEKHARAN
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Publication number: 20230044294Abstract: Techniques are provided for computing with private healthcare data. The techniques include a method comprising constructing an isolated memory partition that forms a secure enclave and pre-provisioning software within the secure enclave. The pre-provisioned software is configured to receive at least one of input data or the instructions for the one or more application computing processes in an encrypted form; decrypt the at least one of input data or instructions using one or more cryptographic keys; execute the one or more application computing processes based on the decrypted at least one of input data or instructions to generate output data; generate a proof of execution that indicates that the one or more application computing processes operated on the received input data; encrypt the output data using the one or more cryptographic keys; and provide external access to the encrypted output data and the proof of execution.Type: ApplicationFiled: September 27, 2022Publication date: February 9, 2023Inventors: Murali ARAVAMUDAN, Karthik MURUGADOSS, Sankar ARDHANARI, Ajit RAJASEKHARAN, Akash ANAND, Rakesh BARVE, Venkataramanan SOUNDARARAJAN, Samir AWASTHI, Tyler WAGNER, Shamim NAQVI
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Patent number: 11545242Abstract: Techniques are provided for computing with private healthcare data. The techniques include a method comprising constructing an isolated memory partition that forms a secure enclave and pre-provisioning software within the secure enclave. The pre-provisioned software is configured to receive at least one of input data or the instructions for the one or more application computing processes in an encrypted form; decrypt the at least one of input data or instructions using one or more cryptographic keys; execute the one or more application computing processes based on the decrypted at least one of input data or instructions to generate output data; generate a proof of execution that indicates that the one or more application computing processes operated on the received input data; encrypt the output data using the one or more cryptographic keys; and provide external access to the encrypted output data and the proof of execution.Type: GrantFiled: June 22, 2020Date of Patent: January 3, 2023Assignee: NFERENCE, INC.Inventors: Murali Aravamudan, Karthik Murugadoss, Sankar Ardhanari, Ajit Rajasekharan, Akash Anand, Rakesh Barve, Venkataramanan Soundararajan, Samir Awasthi, Tyler Wagner, Shamim Naqvi
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Publication number: 20220115100Abstract: Disclosed systems, methods, and computer readable media can retrieve clinical information based on clinical patient data. For example, a method for retrieving clinical information based on clinical patient data includes receiving a specification of a patient cohort, receiving a query, retrieving a list of search results based on the query and the specification of the patient cohort, computing one or more inferences for each item in the list of search results, providing an aggregate statistical analysis associated with the one or more inferences, and providing, by the one or more hardware processors, a response to the query that includes the aggregate statistical analysis. Each element in the list of search results comprises at least a portion of a clinical data record associated with a patient in the patient cohort.Type: ApplicationFiled: October 13, 2021Publication date: April 14, 2022Inventors: Rakesh BARVE, Akash ANAND, Shishir GOWDA, Sairam BADE, Purushottam SINHA
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Publication number: 20210224264Abstract: A method and system is provided for mapping a term to a vector representation in a semantic space. Provided techniques allow for efficient and accurate determination of vector representations for query terms that are terms of emerging interest or are otherwise not included in a set of terms for which vector representations are pre-calculated.Type: ApplicationFiled: January 19, 2021Publication date: July 22, 2021Inventors: Rakesh BARVE, Akash ANAND, Arjun PURANIK, Murali ARAVAMUDAN, Venkataramanan SOUNDARARAJAN, Aravind SRINIVASAN
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Publication number: 20200402625Abstract: Techniques are provided for computing with private healthcare data. The techniques include a method comprising constructing an isolated memory partition that forms a secure enclave and pre-provisioning software within the secure enclave. The pre-provisioned software is configured to receive at least one of input data or the instructions for the one or more application computing processes in an encrypted form; decrypt the at least one of input data or instructions using one or more cryptographic keys; execute the one or more application computing processes based on the decrypted at least one of input data or instructions to generate output data; generate a proof of execution that indicates that the one or more application computing processes operated on the received input data; encrypt the output data using the one or more cryptographic keys; and provide external access to the encrypted output data and the proof of execution.Type: ApplicationFiled: June 22, 2020Publication date: December 24, 2020Inventors: Murali ARAVAMUDAN, Karthik MURUGADOSS, Sankar ARDHANARI, Ajit RAJASEKHARAN, Akash ANAND, Rakesh BARVE, Venkataramanan SOUNDARARAJAN, Samir AWASTHI, Tyler WAGNER, Shamim NAQVI
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Patent number: 9325052Abstract: A tunable cavity resonator includes a housing, a post, and a controllably variable capacitive coupling. The housing defines an interior and has at least one side wall, a first end, and a second end. The post is located within the interior and extends from the first end to the second end. The post and the housing define a resonating cavity. The controllably variable capacitive coupling is disposed in the housing.Type: GrantFiled: May 31, 2013Date of Patent: April 26, 2016Assignee: Purdue Research Foundation Regents of the University of CaliforniaInventors: Dimitrios Peroulis, Akash Anand, Joshua Azariah Small, Xiaoguang Liu, Muhammad Shoaib Arif, Mihal Sinani
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Publication number: 20130335173Abstract: A tunable cavity resonator includes a housing, a post, and a controllably variable capacitive coupling. The housing defines an interior and has at least one side wall, a first end, and a second end. The post is located within the interior and extends from the first end to the second end. The post and the housing define a resonating cavity. The controllably variable capacitive coupling is disposed in the housing.Type: ApplicationFiled: May 31, 2013Publication date: December 19, 2013Applicant: Purdue Research FoundationInventors: Dimitrios Peroulis, Akash Anand, Joshua Azariah Small, Xiaoguang Liu, Muhammad Shoaib Arif, Mihal Sinani