Patents by Inventor Matthew Fernandez

Matthew Fernandez 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).

  • Patent number: 11392591
    Abstract: Computer implemented systems and methods are disclosed for automatically clustering and canonically identifying related data in various data structures. Data structures may include a plurality of records, wherein each record is associated with a respective entity. In accordance with some embodiments, the systems and methods further comprise identifying clusters of records associated with a respective entity by grouping the records into pairs, analyzing the respective pairs to determine a probability that both members of the pair relate to a common entity, and identifying a cluster of overlapping pairs to generate a collection of records relating to a common entity. Clusters may further be analyzed to determine canonical names or other properties for the respective entities by analyzing record fields and identifying similarities.
    Type: Grant
    Filed: November 13, 2018
    Date of Patent: July 19, 2022
    Assignee: Palantir Technologies Inc.
    Inventors: Lawrence Manning, Rahul Mehta, Daniel Erenrich, Guillem Palou Visa, Roger Hu, Xavier Falco, Rowan Gilmore, Eli Bingham, Jason Prestinario, Yifei Huang, Daniel Fernandez, Jeremy Elser, Clayton Sader, Rahul Agarwal, Matthew Elkherj, Nicholas Latourette, Aleksandr Zamoshchin
  • Publication number: 20220207138
    Abstract: Embodiments for dynamically mitigating speculation vulnerabilities are disclosed. In an embodiment, an apparatus includes a decode circuitry and store circuitry coupled to the decode circuitry. The decode circuitry is to decode a store hardening instruction to mitigate vulnerability to a speculative execution attack. The store circuitry is to be hardened in response to the store hardening instruction.
    Type: Application
    Filed: December 26, 2020
    Publication date: June 30, 2022
    Applicant: Intel Corporation
    Inventors: Carlos Rozas, Fangfei Liu, Xiang Zou, Francis McKeen, Jason W. Brandt, Joseph Nuzman, Alaa Alameldeen, Abhishek Basak, Scott Constable, Thomas Unterluggauer, Asit Mallick, Matthew Fernandez
  • Publication number: 20220207147
    Abstract: Embodiments for dynamically mitigating speculation vulnerabilities are disclosed. In an embodiment, an apparatus includes decode circuitry and execution circuitry coupled to the decode circuitry. The decode circuitry is to decode a register hardening instruction to mitigate vulnerability to a speculative execution attack. The execution circuitry is to be hardened in response to the register hardening instruction.
    Type: Application
    Filed: December 26, 2020
    Publication date: June 30, 2022
    Applicant: Intel Corporation
    Inventors: Carlos Rozas, Fangfei Liu, Xiang Zou, Francis McKeen, Jason W. Brandt, Joseph Nuzman, Alaa Alameldeen, Abhishek Basak, Scott Constable, Thomas Unterluggauer, Asit Mallick, Matthew Fernandez
  • Publication number: 20220207154
    Abstract: Embodiments for dynamically mitigating speculation vulnerabilities are disclosed. In an embodiment, an apparatus includes a hybrid key generator and memory protection hardware. The hybrid key generator is to generate a hybrid key based on a public key and multiple process identifiers. Each of the process identifiers corresponds to one or more memory spaces in a memory. The memory protection hardware is to use the first hybrid key to protect to the memory spaces.
    Type: Application
    Filed: December 26, 2020
    Publication date: June 30, 2022
    Applicant: Intel Corporation
    Inventors: Richard Winterton, Mohammad Reza Haghighat, Asit Mallick, Alaa Alameldeen, Abhishek Basak, Jason W. Brandt, Michael Chynoweth, Carlos Rozas, Scott Constable, Martin Dixon, Matthew Fernandez, Fangfei Liu, Francis McKeen, Joseph Nuzman, Gilles Pokam, Thomas Unterluggauer, Xiang Zou
  • Publication number: 20220207148
    Abstract: Embodiments for dynamically mitigating speculation vulnerabilities are disclosed. In an embodiment, an apparatus includes decode circuitry and branch circuitry coupled to the decode circuitry. The decode circuitry is to decode a branch hardening instruction to mitigate vulnerability to a speculative execution attack. The branch circuitry is to be hardened in response to the branch hardening instruction.
    Type: Application
    Filed: December 26, 2020
    Publication date: June 30, 2022
    Applicant: Intel Corporation
    Inventors: Carlos Rozas, Fangfei Liu, Xiang Zou, Francis McKeen, Jason W. Brandt, Joseph Nuzman, Alaa Alameldeen, Abhishek Basak, Scott Constable, Thomas Unterluggauer, Asit Mallick, Matthew Fernandez
  • Publication number: 20220206818
    Abstract: Embodiments for dynamically mitigating speculation vulnerabilities are disclosed. In an embodiment, an apparatus includes decode circuitry and execution circuitry coupled to the decode circuitry. The decode circuitry is to decode a single instruction to mitigate vulnerability to a speculative execution attack. The execution circuitry is to be hardened in response to the single instruction.
    Type: Application
    Filed: December 26, 2020
    Publication date: June 30, 2022
    Applicant: Intel Corporation
    Inventors: Alaa Alameldeen, Carlos Rozas, Fangfei Liu, Xiang Zou, Francis McKeen, Jason W. Brandt, Joseph Nuzman, Abhishek Basak, Scott Constable, Thomas Unterluggauer, Asit Mallick, Matthew Fernandez
  • Publication number: 20220207146
    Abstract: Embodiments for dynamically mitigating speculation vulnerabilities are disclosed. In an embodiment, an apparatus includes decode circuitry and load circuitry coupled to the decode circuitry. The decode circuitry is to decode a load hardening instruction to mitigate vulnerability to a speculative execution attack. The load circuitry is to be hardened in response to the load hardening instruction.
    Type: Application
    Filed: December 26, 2020
    Publication date: June 30, 2022
    Applicant: Intel Corporation
    Inventors: Carlos Rozas, Fangfei Liu, Xiang Zou, Francis McKeen, Jason W. Brandt, Joseph Nuzman, Alaa Alameldeen, Abhishek Basak, Scott Constable, Thomas Unterluggauer, Asit Mallick, Matthew Fernandez
  • Publication number: 20210200551
    Abstract: An apparatus and method for tracking speculative execution flow and detecting potential vulnerabilities.
    Type: Application
    Filed: December 27, 2019
    Publication date: July 1, 2021
    Applicant: Intel Corporation
    Inventors: CARLOS ROZAS, FRANCIS MCKEEN, PASQUALE COCCHINI, MELTEM OZSOY, MATTHEW FERNANDEZ
  • Patent number: 10922088
    Abstract: Detailed herein are systems, apparatuses, and methods for a computer architecture with instruction set support to mitigate against page fault- and/or cache-based side-channel attacks. In an embodiment, an apparatus includes a decoder to decode a first instruction, the first instruction having a first field for a first opcode that indicates that execution circuitry is to set a first flag in a first register that indicates a mode of operation that redirects program flow to an exception handler upon the occurrence of an event. The apparatus further includes execution circuitry to execute the decoded first instruction to set the first flag in the first register that indicates the mode of operation and to store an address of an exception handler in a second register.
    Type: Grant
    Filed: June 29, 2018
    Date of Patent: February 16, 2021
    Assignee: Intel Corporation
    Inventors: Fangfei Liu, Bin Xing, Michael Steiner, Mona Vij, Carlos Rozas, Francis McKeen, Meltem Ozsoy, Matthew Fernandez, Krystof Zmudzinski, Mark Shanahan
  • Publication number: 20200409711
    Abstract: Detailed herein are systems, apparatuses, and methods for a computer architecture with instruction set support to mitigate against page fault and/or cache-based side-channel attacks. In an embodiment, a processor includes a decoder to decode an instruction into a decoded instruction, the instruction comprising a first field that indicates an instruction pointer to a user-level event handler; and an execution unit to execute the decoded instruction to, after a swap of an instruction pointer that indicates where an event occurred from a current instruction pointer register into a user-level event handler pointer register, push the instruction pointer that indicates where the event occurred onto call stack storage, and change a current instruction pointer in the current instruction pointer register to the instruction pointer to the user-level event handler.
    Type: Application
    Filed: June 29, 2019
    Publication date: December 31, 2020
    Inventors: Scott Constable, Fangfei Liu, Bin Xing, Michael Steiner, Mona Vij, Carlos Rozas, Francis X. McKeen, Meltem Ozsoy, Matthew Fernandez, Krystof Zmudzinski, Mark Shanahan
  • Publication number: 20200004552
    Abstract: Detailed herein are systems, apparatuses, and methods for a computer architecture with instruction set support to mitigate against page fault- and/or cache-based side-channel attacks. In an embodiment, an apparatus includes a decoder to decode a first instruction, the first instruction having a first field for a first opcode that indicates that execution circuitry is to set a first flag in a first register that indicates a mode of operation that redirects program flow to an exception handler upon the occurrence of an event. The apparatus further includes execution circuitry to execute the decoded first instruction to set the first flag in the first register that indicates the mode of operation and to store an address of an exception handler in a second register.
    Type: Application
    Filed: June 29, 2018
    Publication date: January 2, 2020
    Inventors: Fangfei LIU, Bin XING, Michael STEINER, Mona VIJ, Carlos ROZAS, Francis MCKEEN, Meltem OZSOY, Matthew FERNANDEZ, Krystof ZMUDZINSKI, Mark SHANAHAN
  • Patent number: 9549068
    Abstract: A method for adaptive voice interaction includes monitoring voice communications between a service recipient and a service representative, measuring a set of voice communication features based upon the voice communications between the service recipient and the service representative, analyzing the set of voice communication features to generate emotion metric values, and generating a response based on the analysis of the set of voice communication features.
    Type: Grant
    Filed: January 28, 2015
    Date of Patent: January 17, 2017
    Assignee: Simple Emotion, Inc.
    Inventors: Akash Krishnan, Matthew Fernandez
  • Publication number: 20150213800
    Abstract: A method for adaptive voice interaction includes monitoring voice communications between a service recipient and a service representative, measuring a set of features based upon the voice communications, and analyzing the set of features to generate emotion metric values.
    Type: Application
    Filed: January 28, 2015
    Publication date: July 30, 2015
    Inventors: Akash Krishnan, Matthew Fernandez
  • Patent number: 8825479
    Abstract: A computerized method, software, and system for recognizing emotions from a speech signal, wherein statistical and MFCC features are extracted from the speech signal, the MFCC features are sorted to provide a basis for comparison between the speech signal and reference samples, the statistical and MFCC features are compared between the speech signal and reference samples, a scoring system is used to compare relative correlation to different emotions, a probable emotional state is assigned to the speech signal based on the scoring system and the probable emotional state is communicated to a user.
    Type: Grant
    Filed: October 24, 2013
    Date of Patent: September 2, 2014
    Assignee: Simple Emotion, Inc.
    Inventors: Akash Krishnan, Matthew Fernandez
  • Publication number: 20140052448
    Abstract: A computerized method, software, and system for recognizing emotions from a speech signal, wherein statistical and MFCC features are extracted from the speech signal, the MFCC features are sorted to provide a basis for comparison between the speech signal and reference samples, the statistical and MFCC features are compared between the speech signal and reference samples, a scoring system is used to compare relative correlation to different emotions, a probable emotional state is assigned to the speech signal based on the scoring system and the probable emotional state is communicated to a user.
    Type: Application
    Filed: October 24, 2013
    Publication date: February 20, 2014
    Applicant: Simple Emotion, Inc.
    Inventors: Akash Krishnan, Matthew Fernandez
  • Patent number: 8595005
    Abstract: A computerized method, software, and system for recognizing emotions from a speech signal, wherein statistical and MFCC features are extracted from the speech signal, the MFCC features are sorted to provide a basis for comparison between the speech signal and reference samples, the statistical and MFCC features are compared between the speech signal and reference samples, a scoring system is used to compare relative correlation to different emotions, a probable emotional state is assigned to the speech signal based on the scoring system, and the probable emotional state is communicated to a user.
    Type: Grant
    Filed: April 22, 2011
    Date of Patent: November 26, 2013
    Assignee: Simple Emotion, Inc.
    Inventors: Akash Krishnan, Matthew Fernandez
  • Publication number: 20110295607
    Abstract: A computerized method, software, and system for recognizing emotions from a speech signal, wherein statistical and MFCC features are extracted from the speech signal, the MFCC features are sorted to provide a basis for comparison between the speech signal and reference samples, the statistical and MFCC features are compared between the speech signal and reference samples, a scoring system is used to compare relative correlation to different emotions, a probable emotional state is assigned to the speech signal based on the scoring system, and the probable emotional state is communicated to a user.
    Type: Application
    Filed: April 22, 2011
    Publication date: December 1, 2011
    Inventors: Akash Krishnan, Matthew Fernandez