Patents by Inventor João Pedro Nunes Nadkarni

João Pedro Nunes Nadkarni 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).

  • CONSTRAINED DECODING AND RANKING OF LANGUAGE MODELS FOR CODE GENERATION
    Publication number: 20230325154
    Abstract: In various embodiments, a process for constrained decoding and ranking of language models for code generation includes receiving a natural language input specifying a desired computer task. The process includes using a machine learning trained converter to convert the natural language input to an output in a computer language, including by, based on a specified grammar for the computer language, limiting eligible options for a token to include in the output in the computer language. The process includes providing the output in the computer language for computer execution.
    Type: Application
    Filed: June 15, 2023
    Publication date: October 12, 2023
    Inventors: Samuel David Pelaio Arcadinho, João Pedro Gonçalves Lages, João Pedro Nunes Nadkarni, Mariana Rodrigues Lourenço, Ana Sofia Aparício da Costa, David Oliveira Aparício, António Manuel de Carvalho dos Santos Alegria, Paulo Jorge Abreu Duarte Ferreira, Catarina Pina de Almeida Coelho, Ângelo Filipe da Silva dos Santos, Hugo Miguel Ferrão Casal da Veiga, Magda Almeida Lopes Pereira
  • Constrained decoding and ranking of language models for code generation
    Patent number: 11726750
    Abstract: In various embodiments, a process for constrained decoding and ranking of language models for code generation includes receiving a natural language input specifying a desired computer task. The process includes using a machine learning trained converter to convert the natural language input to an output in a computer language, including by, based on a specified grammar for the computer language, limiting eligible options for a token to include in the output in the computer language. The process includes providing the output in the computer language for computer execution.
    Type: Grant
    Filed: November 15, 2022
    Date of Patent: August 15, 2023
    Inventors: Samuel David Pelaio Arcadinho, Joäo Pedro Gonçalves Lages, Joäo Pedro Nunes Nadkarni, Mariana Rodrigues Lourenço, Ana Sofia Aparicio da Costa, David Oliveira Aparício, António Manuel de Carvalho dos Santos Alegria, Paulo Jorge Abreu Duarte Ferreira, Catarina Pina de Almeida Coelho, Ângelo Filipe da Silva dos Santos, Hugo Miguel Ferrão Casal da Veiga, Magda Almeida Lopes Pereira
  • DETECTING DUPLICATED CODE PATTERNS IN VISUAL PROGRAMMING LANGUAGE CODE INSTANCES
    Publication number: 20230236830
    Abstract: A repository of graph based visual programming language code instances is analyzed. A similar code portion pattern duplicated is detected among a group of graph based visual programming language code instances included in the repository of graph based visual programming language code instances including by using an index and tokenizing one or more graph nodes connected by one or more graph edges included in a flow corresponding to at least one graph based visual programming language code instance in the group of graph based visual programming language code instances. Within a visual representation of at least one of the group of graph based visual programming language code instances, elements belonging to the detected similar code portion pattern are visually indicated.
    Type: Application
    Filed: March 31, 2023
    Publication date: July 27, 2023
    Inventors: Miguel Ângelo da Terra Neves, António Manuel de Carvalho dos Santos Alegria, João Pedro Nunes Nadkarni, Pedro Tomás Mendes Resende, Miguel Monteiro Ventura
  • Detecting duplicated code patterns in visual programming language code instances
    Patent number: 11662998
    Abstract: In various embodiments, a process for detecting duplicated code patterns in visual programming language code instances includes analyzing a repository of graph based visual programming language code instances and detecting a similar code portion pattern duplicated among a group of graph based visual programming language code instances included in the repository of graph based visual programming language code instances including by using an index and tokenizing a flow corresponding to at least one graph based visual programming language code instance in the group of graph based visual programming language code instance. The process includes visually indicating elements belonging to the detected similar code portion pattern within a visual representation of at least one of the group of graph based visual programming language code instances.
    Type: Grant
    Filed: June 17, 2021
    Date of Patent: May 30, 2023
    Inventors: Miguel Ângelo Da Terra Neves, António Manuel de Carvalho dos Santos Alegria, João Pedro Nunes Nadkarni, Pedro Tomás Mendes Resende, Miguel Monteiro Ventura
  • DETECTING DUPLICATED CODE PATTERNS IN VISUAL PROGRAMMING LANGUAGE CODE INSTANCES
    Publication number: 20220137959
    Abstract: In various embodiments, a process for detecting duplicated code patterns in visual programming language code instances includes analyzing a repository of graph based visual programming language code instances and detecting a similar code portion pattern duplicated among a group of graph based visual programming language code instances included in the repository of graph based visual programming language code instances including by using an index and tokenizing a flow corresponding to at least one graph based visual programming language code instance in the group of graph based visual programming language code instance. The process includes visually indicating elements belonging to the detected similar code portion pattern within a visual representation of at least one of the group of graph based visual programming language code instances.
    Type: Application
    Filed: June 17, 2021
    Publication date: May 5, 2022
    Inventors: Miguel Ângelo da Terra Neves, António Manuel de Carvalho dos Santos Alegria, João Pedro Nunes Nadkarni, Pedro Tomás Mendes Resende, Miguel Monteiro Ventura