Patents by Inventor Pankaj Gupta
Pankaj Gupta 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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Patent number: 11460540Abstract: A FMCW radar receiver includes a LO providing a chirped LO signal, an in-phase (I) channel for outputting I-data and a quadrature (Q) channel for outputting Q-data. A dynamic correction parameter generator generates IQ phase correction values (P[n]s) and IQ gain correction values (G[n]s) based on a frequency slope rate of the chirped LO signal for generating during intervals of chirps including a first sequence of P[n]s and G[n]s during a first chirp and a second sequence of P[n]s and G[n]s during a second chirp. An IQ mismatch (IQMM) correction circuit has a first IQMM input coupled to receive the I-data and a second IQMM input receiving the Q-data, and the P[n]s and G[n]s. During the first chirp the IQMM correction circuit provides first Q?-data and first I?-data and during the second chirp the IQMM correction circuit provides at least second Q?-data and second I?-data.Type: GrantFiled: December 3, 2018Date of Patent: October 4, 2022Assignee: Texas Instruments IncorporatedInventors: Pankaj Gupta, Sriram Murali, Karthik Ramasubramanian
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Publication number: 20220283883Abstract: A method for distributed processing involves receiving a graph (G) of targets and of influencers, with each influencer related to at least one target, receiving an action graph of actions performed by one or more of the influencers, and key partitioning G across shards. The method further involves transposing the first graph (G) to obtain a first transposed graph (GT), value partitioning GT across the shards, storing the action graph on multiple shards, issuing, to a shard, a request specifying an influencer, to perform an intersection, receiving a response to the request of a set of influencers each of which is related to a target, and determining whether to send a recommendation to the target based on the response.Type: ApplicationFiled: January 24, 2022Publication date: September 8, 2022Inventors: Ajeet Grewal, Siva Gurumurthy, Venumadhav Satuluri, Pankaj Gupta, Brian A. Larson, Volodymyr Zhabuik, Aneesh Sharma, Ashish Goel
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Publication number: 20220274835Abstract: An electrode includes an insulating surface layer and at least one aligned carbon nanotube fiber embedded in the insulating surface layer. Each of the at least one aligned carbon nanotube fiber has a first end and a second end opposite the first end, and the first end and the second end are separated by a body. Each of the at least one aligned carbon nanotube fiber is composed of a plurality of carbon nanotubes. The first end and the second end are free of the insulating surface layer. The second end is in contact with an electrical conductive material. A method of analyzing an analyte in a sample and a device for energy storage using the electrode are also described.Type: ApplicationFiled: July 31, 2020Publication date: September 1, 2022Applicants: University of Cincinnati, A.O. Smith CorporationInventors: Noe Alvarez, Pankaj Gupta, William R. Heineman, Kiera Gazica, Connor Rahm, Dehua Jiang, Gusphyl Justin, Joshua Smith
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Patent number: 11428777Abstract: A FMCW radar receiver includes a LO providing a chirped LO signal, an in-phase (I) channel for outputting I-data and a quadrature (Q) channel for outputting Q-data. A dynamic correction parameter generator generates IQ phase correction values (P[n]s) and IQ gain correction values (G[n]s) based on a frequency slope rate of the chirped LO signal for generating during intervals of chirps including a first sequence of P[n]s and G[n]s during a first chirp and a second sequence of P[n]s and G[n]s during a second chirp. An IQ mismatch (IQMM) correction circuit has a first IQMM input coupled to receive the I-data and a second IQMM input receiving the Q-data, and the P[n]s and G[n]s. During the first chirp the IQMM correction circuit provides first Q?-data and first I?-data and during the second chirp the IQMM correction circuit provides at least second Q?-data and second I?-data.Type: GrantFiled: December 3, 2018Date of Patent: August 30, 2022Assignee: Texas Instruments IncorporatedInventors: Pankaj Gupta, Sriram Murali, Karthik Ramasubramanian
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Patent number: 11416689Abstract: The invention refers to a natural language processing system configured for receiving an input sequence ci of input words (v1, v2, . . . vN) representing a first sequence of words in a natural language of a first text and generating an output sequence of output words (, , . . . ) representing a second sequence of words in a natural language of a second text and modeled by a multinominal topic model, wherein the multinominal topic model is extended by an incorporation of language structures using a deep contextualized Long-Short-Term Memory model.Type: GrantFiled: March 28, 2019Date of Patent: August 16, 2022Assignee: SIEMENS AKTIENGESELLSCHAFTInventors: Florian Büttner, Yatin Chaudhary, Pankaj Gupta
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Publication number: 20220251236Abstract: The present invention relates to novel DLL3/CD3 binding proteins. The invention also relates to nucleic acids encoding such proteins; to methods for preparing such proteins; to host cells expressing or capable of expressing such proteins; to compositions comprising such proteins; and to uses of such proteins or such compositions, in particular for therapeutic purposes in the field of cancer diseases.Type: ApplicationFiled: March 4, 2022Publication date: August 11, 2022Inventors: Susanne Hipp, Paul Adam, Michael Dziegelewski, Rajkumar Ganesan, Philip Nicholas Gorman, Priyanka Gupta, Justin Scheer, Vladimir H. Voynov, Pankaj GUPTA
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Publication number: 20220236845Abstract: A method for managing operations on data presented on a display is presented. The method includes detecting data presented on the display of the electronic device; determining reading parameters associated with the data; performing a plurality of operations based on the reading parameters, wherein the reading parameters comprises at least one of a complete screen reading time taken by a user to completely read the data presented on the display of the electronic device, a partial screen reading time taken by the user to read at least one portion of the data, a scroll distance per one scrolling action on the display, or a data reading time which is a time taken to completely read the data presented on the display.Type: ApplicationFiled: June 18, 2020Publication date: July 28, 2022Inventors: Arshiyan ALAM, Abhinav PACHAURI, Pankaj GUPTA, Nitin BARTHWAL, Ravindra JAIN
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Patent number: 11396539Abstract: The present invention relates to new anti-angiopoietin 2 (ANGPT2) neutralizing antibodies for therapeutic and diagnostic methods and composition using them.Type: GrantFiled: June 25, 2020Date of Patent: July 26, 2022Assignee: Boehringer Ingelheim International GmbHInventors: Ryan Michael Fryer, Chao Zheng, Michael Dziegelewski, Pankaj Gupta
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Patent number: 11370818Abstract: The present invention relates to anti-BAFF antibody molecules, including novel humanized anti-BAFF antibodies, therapeutic and diagnostic methods and compositions for using the same.Type: GrantFiled: June 25, 2019Date of Patent: June 28, 2022Assignee: Boehringer Ingelheim International GmbHInventors: Scott Ronald Brodeur, Keith A. Canada, Michael Dziegelewski, Philip Nicholas Gorman, Pankaj Gupta, Ashraf Khalil, John J. Miglietta, Amy Marie Nicoletti, Qi Pan, David Presky, Sanjaya Singh, Tao Wu, Haiguang Xiao
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Publication number: 20220182342Abstract: Systems and methods for personalizing messages in a conversational chatbot are disclosed. An example method may include receiving clickstream event data corresponding to click events by users of an application, generating featurized clickstream data based at least in part on the received clickstream event data, determining one or more predicted intentions for a first user based at least in part on the featurized clickstream data, and generating one or more personalized messages for the first user based at least in part on the one or more predicted user intentions.Type: ApplicationFiled: December 3, 2020Publication date: June 9, 2022Applicant: Intuit Inc.Inventors: Homa Foroughi, Chang Liu, Pankaj Gupta
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Publication number: 20220156044Abstract: A Radix-3 butterfly circuit includes a first FIFO input configured to couple to a first FIFO. The circuit includes a first adder and first subtractor coupled to the first FIFO input, and a second FIFO input configured to couple to a second FIFO. The circuit includes a second adder and second subtractor coupled to the second FIFO input, and an input terminal coupled to the first adder and first subtractor. The circuit includes a first scaler coupled to the second adder and a first multiplexer, and a second scaler coupled to a third adder and second multiplexer. The circuit includes a third scaler coupled to a third subtractor and third multiplexer. An output of the first multiplexer is coupled to a complex multiplier. An output of the second multiplexer is coupled to a second FIFO output. An output of the third multiplexer is coupled to a first FIFO output.Type: ApplicationFiled: June 18, 2021Publication date: May 19, 2022Inventors: Pankaj GUPTA, Karthik SUBBURAJ, Sujaata RAMALINGAM, Karthik RAMASUBRAMANIAN, Indu PRATHAPAN
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Publication number: 20220155368Abstract: A system includes a shift register to store data samples, where the shift register includes a cell under test (CUT), a left guard cell, a right guard cell, a left window, and a right window. The system includes two sets of comparators to compare incoming data samples with data samples in the left window and the right window to compute ranks of the incoming data samples. The system includes a sorted index array to store a rank of the data samples in the shift register. The system includes a selector to select a Kth smallest index from the sorted index array and its corresponding data sample from the shift register. The system includes a target comparator, where the first comparator input receives a data sample from the CUT and the second comparator input receives a Kth smallest data sample, and the comparator output indicates a CFAR target detection.Type: ApplicationFiled: June 18, 2021Publication date: May 19, 2022Inventors: Sujaata RAMALINGAM, Karthik SUBBURAJ, Pankaj GUPTA, Anil Varghese MANI, Karthik RAMASUBRAMANIAN, Indu PRATHAPAN
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Patent number: 11332541Abstract: The present invention relates to novel DLL3/CD3 binding proteins. The invention also relates to nucleic acids encoding such proteins; to methods for preparing such proteins; to host cells expressing or capable of expressing such proteins; to compositions comprising such proteins; and to uses of such proteins or such compositions, in particular for therapeutic purposes in the field of cancer diseases.Type: GrantFiled: June 7, 2019Date of Patent: May 17, 2022Assignee: Boehringer Ingelheim International GmbHInventors: Susanne Hipp, Paul Adam, Michael Dziegelewski, Rajkumar Ganesan, Philip Nicholas Gorman, Priyanka Gupta, Justin Scheer, Vladimir H. Voynov, Pankaj Gupta
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Publication number: 20220128652Abstract: A system includes a hardware accelerator configured to perform a two-dimensional (2D) fast Fourier transform (FFT) on an M×N element array. The hardware accelerator has log2 M×N pipeline stages including an initial group of log2 M stages and a final group of log2 N stages. Each stage includes a butterfly unit, a FIFO buffer coupled to the butterfly unit, and a multiplier coupled to the butterfly unit and to an associated twiddle factor table. The hardware accelerator also includes butterfly control logic to provide elements of the M×N element array to the initial group of stages in an N direction of the array, and twiddle factor addressing logic to, for the twiddle factor tables of the initial group of stages, apply an indexed entry of the twiddle factor table to the associated multiplier. The indexed entry begins as a first entry and advances by N entries after every N cycles.Type: ApplicationFiled: January 11, 2022Publication date: April 28, 2022Inventors: Pankaj Gupta, Karthik Ramasubramanian
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Publication number: 20220129710Abstract: Disclosed is a method and system for classifying elements of a product. The method comprises identifying elements of the product. Thereupon, features of the one or more elements are determined, using a feature recognition technique. The features correspond to manufacturing operations required for manufacturing the elements, and include sheet metal operations, turn operations, injection moulding operations, and machining operations. The manufacturing operations are determined in a priority order with the sheet metal operation having a highest priority and the machining operation having a least priority.Type: ApplicationFiled: June 18, 2021Publication date: April 28, 2022Applicant: HCL TECHNOLOGIES LIMITEDInventors: Ravi Krishnan VENKATARAMAN, Pankaj GUPTA
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Patent number: 11290551Abstract: A method for determining a circle of trust (CoT) includes receiving a request for the CoT, generating the CoT for the context account by: identifying a primary graph with nodes based on at least one action within a social network for the context account. The method further includes performing random walks through the nodes of the primary graph, each of the random walks including two steps, ranking each of the nodes based on an amount of the random walks that end on each of the nodes, with the CoT including a number of the highest ranking plurality of nodes, filtering content items using the CoT to identify a subset of relevant items, and providing the subset for display on a client device.Type: GrantFiled: September 4, 2020Date of Patent: March 29, 2022Assignee: Twitter, Inc.Inventors: Pankaj Gupta, Aneesh Sharma, Ashish Goel
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Patent number: 11251803Abstract: A method for non-linearity correction includes receiving a first output signal from a data signal path containing a first analog-to-digital converter and receiving a second output signal from a second analog-to-digital converter. The method also includes generating first non-linearity coefficients using the first output signal and generating second non-linearity coefficients using the first and second output signals. The method further includes applying, by a non-linearity corrector in the data signal path, the first and second non-linearity coefficients to compensate for non-linearity components in a digitized signal output from the first analog-to-digital converter to generate a corrected digitized signal.Type: GrantFiled: October 5, 2020Date of Patent: February 15, 2022Assignee: TEXAS INSTRUMENTS INCORPORATEDInventors: Pankaj Gupta, Jawaharlal Tangudu, Ajai Paulose
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Patent number: 11239854Abstract: A non-linearity correction circuit includes a non-linearity coefficient estimation circuit. The non-linearity coefficient estimation circuit includes a data capture circuit, a non-linearity term generation circuit, a time-to-frequency conversion circuit, a bin identification circuit, a residual non-linearity conversion circuit, and a non-linearity coefficient generation circuit. The non-linearity term generation circuit is coupled to the data capture circuit. The time-to-frequency conversion circuit is coupled to the data capture circuit and the non-linearity term generation circuit. The bin identification circuit is coupled to the time-to-frequency conversion circuit. The residual non-linearity conversion circuit is coupled to the bin identification circuit. The non-linearity coefficient generation circuit is coupled to the bin identification circuit and the residual non-linearity conversion circuit.Type: GrantFiled: October 2, 2020Date of Patent: February 1, 2022Assignee: TEXAS INSTRUMENTS INCORPORATEDInventors: Jawaharlal Tangudu, Pankaj Gupta, Sreenath Narayanan Potty, Ajai Paulose, Chandrasekhar Sriram, Mahesh Ravi Varma, Shabbar Abbasi Vejlani, Neeraj Shrivastava, Himanshu Varshney, Divyeshkumar Mahendrabhai Patel, Raju Kharataram Chaudhari
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Patent number: 11231977Abstract: A method for distributed processing involves receiving a graph (G) of targets and of influencers, with each influencer related to at least one target, receiving an action graph of actions performed by one or more of the influencers, and key partitioning G across shards. The method further involves transposing the first graph (G) to obtain a first transposed graph (GT), value partitioning GT across the shards, storing the action graph on multiple shards, issuing, to a shard, a request specifying an influencer, to perform an intersection, receiving a response to the request of a set of influencers each of which is related to a target, and determining whether to send a recommendation to the target based on the response.Type: GrantFiled: June 17, 2019Date of Patent: January 25, 2022Assignee: Twitter, Inc.Inventors: Ajeet Grewal, Siva Gurumurthy, Venumadhav Satuluri, Pankaj Gupta, Brian Larson, Volodymyr Zhabuik, Aneesh Sharma, Ashish Goel
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Patent number: 11221397Abstract: A system includes a hardware accelerator configured to perform a two-dimensional (2D) fast Fourier transform (FFT) on an M×N element array. The hardware accelerator has log2 M×N pipeline stages including an initial group of log2 M stages and a final group of log2 N stages. Each stage includes a butterfly unit, a FIFO buffer coupled to the butterfly unit, and a multiplier coupled to the butterfly unit and to an associated twiddle factor table. The hardware accelerator also includes butterfly control logic to provide elements of the M×N element array to the initial group of stages in an N direction of the array, and twiddle factor addressing logic to, for the twiddle factor tables of the initial group of stages, apply an indexed entry of the twiddle factor table to the associated multiplier. The indexed entry begins as a first entry and advances by N entries after every N cycles.Type: GrantFiled: April 5, 2019Date of Patent: January 11, 2022Assignee: Texas Instruments IncorporatedInventors: Pankaj Gupta, Karthik Ramasubramanian