Patents by Inventor Michael Malakates

Michael Malakates 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: 12358710
    Abstract: A reusable shipper container has a container body with a payload chamber for holding goods and a lid operable to access the payload chamber. The reusable shipper container also has one or more sensors in the payload chamber to senses a humidity or temperature of the payload chamber or the goods. The reusable shipper container also has a tablet display screen detachably coupled to the container body that communicates with the sensors in the payload chamber.
    Type: Grant
    Filed: March 7, 2025
    Date of Patent: July 15, 2025
    Assignee: Ember LifeSciences, Inc.
    Inventors: Clayton Alexander, Damian Lee, Robert James Speck, Kevin Michael Malak, Simon David James, Christopher Thomas Wakeham, Gregory Joseph Yang
  • Patent number: 12325572
    Abstract: A reusable shipper container has a container body with a payload chamber for holding goods and a lid operable to access the payload chamber. The reusable shipper container also has a tablet display screen detachably coupled to the container body. The reusable shipper container also has an inner lid assembly with one or more doors selectively movable between a first position over the payload chamber to close the payload chamber, and a second position to allow access to the payload chamber. The reusable shipper container can have a display screen on an underside of the lid that can auto-display information or autoplay videos, for example, when the lid is open and/or the shipper container has arrived at its destination.
    Type: Grant
    Filed: February 7, 2025
    Date of Patent: June 10, 2025
    Assignee: Ember LifeSciences, Inc.
    Inventors: Clayton Alexander, Damian Lee, Robert James Speck, Kevin Michael Malak, Simon David James
  • Publication number: 20250094188
    Abstract: In accordance with an embodiment, described herein is a system and method for providing a chat-to-visualization user interface for use with a data analytics workbook assistant. A data analytics system or environment can be integrated with a digital assistant system or environment which provides natural language processing, for purposes of leveraging a user's text or speech input while generating, modifying, or interacting with data visualizations. The user can interact with the system using a chat-like conversation. Based upon a received input from the user as part of the conversation, the system can generate data comprising a resolved intent and entities, and locate an appropriate dataset. The system supports complex follow-up interactions or questions that pertain to previous responses combined with the curated data. The user can use modifiers to further enhance their questioning or analysis of the data, and incorporate resulting insights into their visualization project.
    Type: Application
    Filed: September 12, 2024
    Publication date: March 20, 2025
    Inventors: JACQUES VIGEANT, JUN KIM, MICHAEL MALAK, KENNETH ENG, RUTUJA JOSHI, RAMESH VASUDEVAN
  • Patent number: 12252325
    Abstract: A reusable shipper container has a container body with a payload chamber for holding goods and a lid operable to access the payload chamber. The reusable shipper container also has one or more sensors in the payload chamber to senses a humidity or temperature of the payload chamber or the goods. The reusable shipper container also has a tablet display screen detachably coupled to the container body that wirelessly communicates with the sensors in the payload chamber and that displays one or more of an electronic shipping label, packing instructions, return instructions and maintenance status.
    Type: Grant
    Filed: July 15, 2024
    Date of Patent: March 18, 2025
    Assignee: Ember LifeSciences, Inc.
    Inventors: Clayton Alexander, Damian Lee, Robert James Speck, Kevin Michael Malak, Simon David James, Christopher Thomas Wakeham, Gregory Joseph Yang
  • Publication number: 20250045521
    Abstract: In accordance with an embodiment, described herein is a system and method for use of text analytics to transform, analyze, and visualize data, including support for data flows of unstructured text or other types of textual data input. Additionally described are various examples of algorithmic processes and user interfaces that can be used to enable text analytics in particular environments or use cases. In accordance with an embodiment, the system can be implemented within a cloud environment that enables self-service text analytics. A user, for example an organizational business user who may not be expert in the use of machine learning as applied to data processing, can interact with the system via a user interface, to apply natural language processing or other text analysis techniques to a data flow or set of input data, to generate visualizations or other types of useful information associated with the data.
    Type: Application
    Filed: October 23, 2024
    Publication date: February 6, 2025
    Inventors: MICHAEL MALAK, MANISHA GUPTA, NIKHIL SURVE, CHAOHUI YU, LUIS E. RIVAS, LUIS RAMIREZ, DOUGLAS SAVOLAINEN
  • Patent number: 12159106
    Abstract: In accordance with an embodiment, described herein is a system and method for use of text analytics to transform, analyze, and visualize data, including support for data flows of unstructured text or other types of textual data input. Additionally described are various examples of algorithmic processes and user interfaces that can be used to enable text analytics in particular environments or use cases. In accordance with an embodiment, the system can be implemented within a cloud environment that enables self-service text analytics. A user, for example an organizational business user who may not be expert in the use of machine learning as applied to data processing, can interact with the system via a user interface, to apply natural language processing or other text analysis techniques to a data flow or set of input data, to generate visualizations or other types of useful information associated with the data.
    Type: Grant
    Filed: August 20, 2021
    Date of Patent: December 3, 2024
    Inventors: Michael Malak, Manisha Gupta, Nikhil Surve, Chaohui Yu, Luis E. Rivas, Luis Ramirez, Douglas Savolainen
  • Patent number: 11941018
    Abstract: Techniques for generated regular expressions are disclosed. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence. A negative example may be used to generate the regular expression. Context from the negative example may be determined in order to generate the regular expression.
    Type: Grant
    Filed: June 17, 2020
    Date of Patent: March 26, 2024
    Assignee: Oracle International Corporation
    Inventors: Michael Malak, Luis E. Rivas, Mark L. Kreider
  • Patent number: 11797582
    Abstract: Disclosed herein are techniques related to automated generation of regular expressions. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence.
    Type: Grant
    Filed: June 11, 2019
    Date of Patent: October 24, 2023
    Assignee: Oracle International Corporation
    Inventors: Michael Malak, Luis E. Rivas, Mark L. Kreider
  • Patent number: 11755630
    Abstract: Disclosed herein are techniques related to automated generation of regular expressions. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence.
    Type: Grant
    Filed: April 1, 2022
    Date of Patent: September 12, 2023
    Assignee: Oracle International Corporation
    Inventors: Michael Malak, Luis E. Rivas, Mark L. Kreider
  • Patent number: 11704321
    Abstract: The present disclosure related to techniques for analyzing data from multiple different data sources to determine a relationship between the data (also referred to herein a “data relationship discovery”). The relationships between any two compared datasets may be used to determine one or more recommendations for merging (e.g., joining), or “blending,” the data sets together. Relationship discovery may include determining a relationship between a subset of data, such as a relationship between a pair of columns, or column pair, each column in a different dataset of the datasets that are compared. Given two datasets to process for relationship discovery, relationship discovery may identify and recommends a ranked subset of column pairs between two compared datasets. The ranked column pairs identified as a relationship may be useful for blending the datasets with respect to those column pairs.
    Type: Grant
    Filed: March 23, 2020
    Date of Patent: July 18, 2023
    Assignee: Oracle International Corporation
    Inventors: Robert James Oberbreckling, Luis E. Rivas, Michael Malak, Glenn Allen Murray
  • Patent number: 11694029
    Abstract: Techniques are provided for identifying attributes associated with a neologism or an unknown word or name. Real world characteristics can be predicted for the neologism. Trigrams are identified for an input word and word embedding model vector values are calculated for the identified trigrams and entered into a matrix. Trigrams are identified for nearest names. Classification values are calculated based on the trigrams for the input word and the trigrams from the nearest names and the classification values are entered into the matrix. A convolutional neural network can process the matrix to identify one or more characteristics associated with the neologism.
    Type: Grant
    Filed: August 4, 2020
    Date of Patent: July 4, 2023
    Assignee: Oracle International Corporation
    Inventors: Michael Malak, Luis E. Rivas, Mark Lee Kreider
  • Publication number: 20230057706
    Abstract: In accordance with an embodiment, described herein is a system and method for use of text analytics to transform, analyze, and visualize data, including support for data flows of unstructured text or other types of textual data input. Additionally described are various examples of algorithmic processes and user interfaces that can be used to enable text analytics in particular environments or use cases. In accordance with an embodiment, the system can be implemented within a cloud environment that enables self-service text analytics. A user, for example an organizational business user who may not be expert in the use of machine learning as applied to data processing, can interact with the system via a user interface, to apply natural language processing or other text analysis techniques to a data flow or set of input data, to generate visualizations or other types of useful information associated with the data.
    Type: Application
    Filed: August 20, 2021
    Publication date: February 23, 2023
    Inventors: MICHAEL MALAK, MANISHA GUPTA, NIKHIL SURVE, CHAOHUI YU, LUIS E. RIVAS, LUIS RAMIREZ, DOUGLAS SAVOLAINEN
  • Patent number: 11580166
    Abstract: Techniques for generated regular expressions are disclosed. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence. Alignment of span data structures may be performed when generating the regular expression.
    Type: Grant
    Filed: June 17, 2020
    Date of Patent: February 14, 2023
    Assignee: Oracle International Corporation
    Inventors: Michael Malak, Luis E. Rivas, Mark L. Kreider
  • Publication number: 20220261426
    Abstract: Disclosed herein are techniques related to automated generation of regular expressions. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence.
    Type: Application
    Filed: April 1, 2022
    Publication date: August 18, 2022
    Applicant: Oracle International Corporation
    Inventors: Michael Malak, Luis E. Rivas, Mark L. Kreider
  • Patent number: 11417131
    Abstract: Techniques are provided for performing sentiment analysis on words in a first data set. An example embodiment includes generating a word embedding model including a first plurality of features. A value indicating sentiment for the words in the first data set can be determined using a convolutional neural network (CNN). A second plurality of features are generated based on bigrams identified in the data set. The bigrams can be generated using a co-occurrence graph. The model is updated to include the second plurality of features, and sentiment analysis can be performed on a second data set using the updated model.
    Type: Grant
    Filed: August 28, 2020
    Date of Patent: August 16, 2022
    Assignee: Oracle International Corporation
    Inventors: Michael Malak, Mark L. Kreider
  • Patent number: 11379506
    Abstract: The present disclosure relates to performing similarity metric analysis and data enrichment using knowledge sources. A data enrichment service can compare an input data set to reference data sets stored in a knowledge source to identify similarly related data. A similarity metric can be calculated corresponding to the semantic similarity of two or more datasets. The similarity metric can be used to identify datasets based on their metadata attributes and data values enabling easier indexing and high performance retrieval of data values. A input data set can labeled with a category based on the data set having the best match with the input data set. The similarity of an input data set with a data set provided by a knowledge source can be used to query a knowledge source to obtain additional information about the data set. The additional information can be used to provide recommendations to the user.
    Type: Grant
    Filed: December 31, 2018
    Date of Patent: July 5, 2022
    Assignee: Oracle International Corporation
    Inventors: Alexander Sasha Stojanovic, Mark Kreider, Michael Malak, Glenn Allen Murray
  • Patent number: 11354305
    Abstract: Techniques for generated regular expressions are disclosed. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence. Generation of the regular expressions can be implemented on an interactive user interface. Commands can be applied to the one or more character sequences and regular expressions are generated based on the applied commands.
    Type: Grant
    Filed: June 17, 2020
    Date of Patent: June 7, 2022
    Assignee: Oracle International Corporation
    Inventors: Michael Malak, Luis E. Rivas, Mark L. Kreider
  • Patent number: 11347779
    Abstract: Disclosed herein are techniques related to automated generation of regular expressions. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence.
    Type: Grant
    Filed: June 11, 2019
    Date of Patent: May 31, 2022
    Assignee: Oracle International Corporation
    Inventors: Michael Malak, Luis E. Rivas, Mark L. Kreider
  • Patent number: 11321368
    Abstract: Disclosed herein are techniques related to automated generation of regular expressions. In some embodiments, a regular expression generator may receive input data comprising one or more character sequences. The regular expression generator may convert character sequences into a sets of regular expression codes and/or span data structures. The regular expression generator may identify a longest common subsequence shared by the sets of regular expression codes and/or spans, and may generate a regular expression based upon the longest common subsequence.
    Type: Grant
    Filed: June 11, 2019
    Date of Patent: May 3, 2022
    Assignee: Oracle International Corporation
    Inventors: Michael Malak, Luis E. Rivas, Mark L. Kreider
  • Patent number: D948025
    Type: Grant
    Filed: November 26, 2019
    Date of Patent: April 5, 2022
    Assignee: HOMEWERKS WORLDWIDE, LLC
    Inventors: Michael Malaker, Huang Xiaoying, Qui Xiwen, Li Xiaoshan, He Liting