Patents by Inventor Daniel Klein

Daniel Klein 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: 11029818
    Abstract: Disclosed herein are system, method, and computer program product embodiments for unifying graphical user interface (GUI) displays across different device types. In an embodiment, a unification system may convert various GUI view appearing on, for example, a desktop device into a GUI view on a mobile device. Both devices may be accessing the same application and/or may use a cloud computing platform to access the application. The unification system may aid in reproducing GUI modifications performed on one user device onto other user devices. In this manner, the unification system may maintain a consistent look-and-feel for a user across different computing device type.
    Type: Grant
    Filed: December 14, 2018
    Date of Patent: June 8, 2021
    Assignee: salesforce.com, inc.
    Inventors: Eric Jacobson, Michael Gonzalez, Wayne Cho, Adheip Varadarajan, Daniel McCall, Victor Oliveros, Annie Abrahamian, David Klein, Nicholas Howland, Kyle Haskins, John Vollmer, Benjamin Snyder
  • Patent number: 11027019
    Abstract: Methods of forming antimicrobial biopolymers from sodium alginate and algae extract using aminoglycosides are presented. Also presented are improved biopolymers, methods of making the biopolymers, and methods of using the biopolymers, wherein the biopolymer includes a sodium alginate and an aminoglycoside.
    Type: Grant
    Filed: October 31, 2019
    Date of Patent: June 8, 2021
    Inventors: Lokender Kumar, John Brice, Linda Toberer, Judith Klein-Seetharaman, Daniel Knauss, Susanta Kumar Sarkar
  • Patent number: 11003317
    Abstract: Disclosed herein are system, method, and computer program product embodiments for unifying graphical user interface (GUI) displays across different device types. In an embodiment, a unification system may convert various GUI view appearing on, for example, a desktop device into a GUI view on a mobile device. Both devices may be accessing the same application and/or may use a cloud computing platform to access the application. The unification system may aid in reproducing GUI modifications performed on one user device onto other user devices. In this manner, the unification system may maintain a consistent look-and-feel for a user across different computing device type.
    Type: Grant
    Filed: December 14, 2018
    Date of Patent: May 11, 2021
    Assignee: salesforce.com, inc.
    Inventors: Eric Jacobson, Michael Gonzalez, Wayne Cho, Adheip Varadarajan, Daniel McCall, Victor Oliveros, Annie Abrahamian, David Klein, Nicholas Howland, Kyle Haskins, John Vollmer, Benjamin Snyder, Mike Rosenbaum
  • Publication number: 20210136605
    Abstract: This disclosure describes systems, methods, and devices related to high throughput (HT) control information. A device may determine a frame comprising HT control information. The device may determine to extend a size of the HT control information. The device may cause to generate a management or data frame for sending to a first station device of one or more station devices, the management or data frame comprising extended high throughput (HT) control information, define a new control identification (ID) associated with the extended HT control information, and cause to send the management or data frame to the first station device.
    Type: Application
    Filed: December 24, 2020
    Publication date: May 6, 2021
    Inventors: Po-Kai Huang, Daniel F. Bravo, Danny Alexander, Arik Klein, Danny Ben-Ari, Laurent Cariou, Robert Stacey
  • Publication number: 20210120602
    Abstract: Multi-link device (MLD) devices and transitions are described. The MAC addresses of the AP MLD and non-AP MLD are used to generate keys for different fast transitions (FT) between a non-AP MLD and an AP MLD. In an FT initial mobility domain operation, the AP MLD MAC address is used as the R1KH-ID and the non-AP MLD MAC address is used as the S0KH-ID and S1KH-ID. The MAC addresses are exchanged in Authentication Request/Response or Association Request/Response messages and the GTK/IGTK/BIGTK are delivered in a single FT 4-way handshake. In a fast MLD transition to an AP MLD in the same ESS, the other AP MLD MAC address is used as the R1KH-ID and the non-AP MLD MAC address is used as the S1KH-ID. The MAC addresses are exchanged in Authentication Request/Response or Association Request/Response messages and the GTK/IGTK/BIGTK are delivered in an FTE.
    Type: Application
    Filed: December 23, 2020
    Publication date: April 22, 2021
    Inventors: Po-Kai Huang, Ido Ouzieli, Robert J. Stacey, Danny Alexander, Daniel F. Bravo, Laurent Cariou, Arik Klein
  • Publication number: 20210118444
    Abstract: A method includes receiving an utterance at a computerized automated assistant system, and detecting, via a date/time constraint module of the computerized automated assistant system, one or more constraints in the utterance associated with a date or time. The utterance is associated with a domain. The method further comprises generating, via the date/time constraint module, a periodic set for each of the one or more constraints associated with the date or time, and combining, via the date/time constraint module, the one or more periodic sets. The method further comprises processing, via a dialogue manager module of the computerized automated assistant system, the combined periodic sets to determine an action, and executing the action at the computerized automated assistant system.
    Type: Application
    Filed: December 1, 2020
    Publication date: April 22, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Jordan Rian Cohen, David Leo Wright Hall, Jason Andrew Wolfe, Daniel Lawrence Roth, Daniel Klein
  • Patent number: 10957314
    Abstract: A system that provides a sharable language interface for implementing automated assistants in new domains and applications. A dialogue assistant that is trained in a first domain can receive a specification in a second domain. The specification can include language structure data such as schemas, recognizers, resolvers, constraints and invariants, actions, language hints, generation template, and other data. The specification data is applied to the automated assistant to enable the automated assistant to provide interactive dialogue with a user in a second domain associated with the received specification. In some instances, portions of the specification may be automatically mapped to portions of the first domain. By having the ability to learn new domains and applications through receipt of objects and properties rather than retooling the interface entirely, the present system is much more efficient at learning how to provide interactive dialogue in new domains than previous systems.
    Type: Grant
    Filed: March 2, 2018
    Date of Patent: March 23, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: David Leo Wright Hall, Daniel Klein, David Ernesto Heekin Burkett, Jordan Rian Cohen, Daniel Lawrence Roth
  • Patent number: 10861455
    Abstract: A method includes receiving an utterance at a computerized automated assistant system, and detecting, via a date/time constraint module of the computerized automated assistant system, one or more constraints in the utterance associated with a date or time. The utterance is associated with a domain. The method further comprises generating, via the date/time constraint module, a periodic set for each of the one or more constraints associated with the date or time, and combining, via the date/time constraint module, the one or more periodic sets. The method further comprises processing, via a dialogue manager module of the computerized automated assistant system, the combined periodic sets to determine an action, and executing the action at the computerized automated assistant system.
    Type: Grant
    Filed: July 13, 2018
    Date of Patent: December 8, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Jordan Rian Cohen, David Leo Wright Hall, Jason Andrew Wolfe, Daniel Lawrence Roth, Daniel Klein
  • Patent number: 10824798
    Abstract: A data collection system is based on a general set of dialogue acts which are derived from a database schema. Crowd workers perform two types of tasks: (i) identification of sensical dialogue paths and (ii) performing context-dependent paraphrasing of these dialogue paths into real dialogues. The end output of the system is a set of training examples of real dialogues which have been annotated with their logical forms. This data can be used to train all three components of the dialogue system: (i) the semantic parser for understanding context-dependent utterances, (ii) the dialogue policy for generating new dialogue acts given the current state, and (iii) the generation system for both deciding what to say and how to render it in natural language.
    Type: Grant
    Filed: November 6, 2017
    Date of Patent: November 3, 2020
    Assignee: Semantic Machines, Inc.
    Inventors: Percy Shuo Liang, Daniel Klein, Laurence Steven Gillick, Jordan Rian Cohen, Linda Kathleen Arsenault, Joshua James Clausman, Adam David Pauls, David Leo Wright Hall
  • Patent number: 10762892
    Abstract: A method for a dialogue system includes establishing a dialogue session between an application executing on a server and a remote machine. The dialogue session includes one or more utterances received from a user at the remote machine. A natural language processing machine identifies a request associated with a computer-readable representation of an utterance. A dialogue expansion machine generates a plurality of alternative actions for responding to the request. A previously-trained machine learning confidence model assesses a confidence score for each alternative. If a highest confidence score for a top alternative does not satisfy a threshold, the plurality of alternatives including the top alternative are transmitted to a remote machine (which may be the same remote machine or a different remote machine) for review by a human reviewer. After the dialogue system and/or the human reviewer select an alternative, computer-readable instructions defining the selected alternative are executed.
    Type: Grant
    Filed: July 16, 2018
    Date of Patent: September 1, 2020
    Assignee: Semantic Machines, Inc.
    Inventors: Jesse Daniel Eskes Rusak, David Leo Wright Hall, Jason Andrew Wolfe, Daniel Lawrence Roth, Daniel Klein, Jordan Rian Cohen
  • Patent number: 10720148
    Abstract: A method for a dialogue system includes establishing a dialogue session between an application executing on a server and a remote machine. The dialogue session includes one or more utterances received from a user at the remote machine. A natural language processing machine identifies a request associated with a computer-readable representation of an utterance. A dialogue expansion machine generates a plurality of alternative actions for responding to the request. A previously-trained machine learning confidence model assesses a confidence score for each alternative. If a highest confidence score for a top alternative does not satisfy a threshold, the plurality of alternatives including the top alternative are transmitted to a remote machine (which may be the same remote machine or a different remote machine) for review by a human reviewer. After the dialogue system and/or the human reviewer select an alternative, computer-readable instructions defining the selected alternative are executed.
    Type: Grant
    Filed: July 16, 2018
    Date of Patent: July 21, 2020
    Assignee: Semantic Machines, Inc.
    Inventors: Jesse Daniel Eskes Rusak, David Leo Wright Hall, Jason Andrew Wolfe, Daniel Lawrence Roth, Daniel Klein, Jordan Rian Cohen
  • Patent number: 10713288
    Abstract: A system that generates natural language content. The system generates and maintains a dialogue state representation having a process view, query view, and data view. The three-view dialogue state representation is continuously updated during discourse between an agent and a user, and rules can be automatically generated based on the discourse. Upon a content generation event, an object description can be generated based on the dialogue state representation. A string is then determined from the object description, using a hybrid approach of the automatically generated rules and other rules learned from annotation and other user input. The string is translated to text or speech and output by the agent. The present system also incorporates learning techniques, for example when ranking output and processing annotation templates.
    Type: Grant
    Filed: February 8, 2018
    Date of Patent: July 14, 2020
    Assignee: Semantic Machines, Inc.
    Inventors: Jacob Daniel Andreas, David Leo Wright Hall, Daniel Klein, Adam David Pauls
  • Publication number: 20200167791
    Abstract: A method for detecting and tracking tainted cryptographic wallets. The method measures a wallet's propensity to engage in criminal or suspicious activity. Naturally, transacting with a criminal is tantamount either to funding crime or laundering its proceeds, so it is in our collective interest to identify—and then monitor or quarantine—any wallet with criminal association. The method also automatically flags risky withdrawal requests in real-time for further review before committing them to the blockchain. In some embodiments, the exchange can quarantine wallets at a certain Walletscore.
    Type: Application
    Filed: November 28, 2019
    Publication date: May 28, 2020
    Inventors: Timothy Eller, Patrick De La Garza, Daniel Klein, George Kellerman, Steven Eliscu, Danny Yang
  • Patent number: 10643601
    Abstract: A conversational system receives an utterance, and a parser performs a parsing operation on the utterance, resulting in some words being parsed and some words not being parsed. For the words that are not parsed, words or phrases determined to be unimportant are ignored. The resulting unparsed words are processed to determine the likelihood they are important and whether they should be addressed by the automated assistant. For example, if a score associated with an important unparsed word achieves a particular threshold, then a course of action to take for the utterance may include providing a message that the portion of the utterance associated with the important unparsed word cannot be handled.
    Type: Grant
    Filed: January 31, 2018
    Date of Patent: May 5, 2020
    Assignee: Semantic Machines, Inc.
    Inventors: David Leo Wright Hall, Daniel Klein
  • Publication number: 20190347321
    Abstract: A method for configuring an automated dialogue system uses traces of interactions via a graphical user interface (GUI) for an application. Each trace includes interactions in the context of a plurality of presentations of the GUI. Elements of one or more presentations of the GUI are identified, and templates are associated with portions of the trace. Each template has one or more defined inputs and a defined output. For each template of the plurality of templates, the portions of the traces are processed to automatically configure the template by specifying a procedure for providing values of inputs to the template via the GUI and obtaining a value of an output. The automated dialogue system is configured with the configured templates, thereby avoiding manual configuration of the dialogue system.
    Type: Application
    Filed: July 26, 2019
    Publication date: November 14, 2019
    Applicant: Semantic Machines, Inc.
    Inventors: Pengyu Chen, Jordan Rian Cohen, Laurence Steven Gillick, David Leo Wright Hall, Daniel Klein, Adam David Pauls, Daniel Lawrence Roth, Jesse Daniel Eskes Rusak
  • Patent number: 10452123
    Abstract: A method includes receiving an instruction to transition a device into a reduced power state, predicting an availability of a power source determining a charge of a power storage element, determining whether the power source is predicted to be available before the charge of the power storage element falls below a threshold value, upon determining that the power source is predicted to be available before the charge of the power storage element falls below the threshold value, preventing the transition of the device into the reduced power state, and upon determining that the power source is not predicted to be available before the charge of the power storage element falls below the threshold value, transitioning the device into the reduced power state.
    Type: Grant
    Filed: March 30, 2017
    Date of Patent: October 22, 2019
    Assignee: GOOGLE LLC
    Inventors: Daniel Klein, Jeffrey Hoy
  • Patent number: 10402488
    Abstract: A method for configuring an automated dialog system uses traces of interactions via a graphical user interface (GUI) for an application. Each trace includes interactions in the context of a plurality of presentations of the GUI. Elements of one or more presentations of the GUI are identified, and templates are associated with portions of the trace. Each template has one or more defined inputs and a defined output. For each template of the plurality of templates, the portions of the traces are processed to automatically configure the template by specifying a procedure for providing values of inputs to the template via the GUI and obtaining a value of an output. The automated dialog system is configured with the configured templates, thereby avoiding manual configuration of the dialog system.
    Type: Grant
    Filed: November 22, 2016
    Date of Patent: September 3, 2019
    Assignee: Semantic Machines, Inc.
    Inventors: Pengyu Chen, Jordan Rian Cohen, Laurence Steven Gillick, David Leo Wright Hall, Daniel Klein, Adam David Pauls, Daniel Lawrence Roth, Jesse Daniel Eskes Rusak
  • Patent number: 10319381
    Abstract: An interaction assistant conducts multiple turn interaction dialogs with a user in which context is maintained between turns, and the system manages the dialog to achieve an inferred goal for the user. The system includes a linguistic interface to a user and a parser for processing linguistic events from the user. A dialog manager of the system is configured to receive alternative outputs from the parser, and selecting an action and causing the action to be performed based on the received alternative outputs. The system further includes a dialog state for an interaction with the user, and the alternative outputs represent alternative transitions from a current dialog state to a next dialog state. The system further includes a storage for a plurality of templates, and wherein each dialog state is defined in terms of an interrelationship of one or more instances of the templates.
    Type: Grant
    Filed: February 14, 2018
    Date of Patent: June 11, 2019
    Assignee: Semantic Machines, Inc.
    Inventors: Jacob Daniel Andreas, Daniel Lawrence Roth, Jesse Daniel Eskes Rusak, Andrew Robert Volpe, Steven Andrew Wegmann, Taylor Darwin Berg-Kirkpatrick, Pengyu Chen, Jordan Rian Cohen, Laurence Steven Gillick, David Leo Wright Hall, Daniel Klein, Michael Newman, Adam David Pauls
  • Patent number: 10276160
    Abstract: An interaction assistant conducts multiple turn interaction dialogs with a user in which context is maintained between turns, and the system manages the dialog to achieve an inferred goal for the user. The system includes a linguistic interface to a user and a parser for processing linguistic events from the user. A dialog manager of the system is configured to receive alternative outputs from the parser, and selecting an action and causing the action to be performed based on the received alternative outputs. The system further includes a dialog state for an interaction with the user, and the alternative outputs represent alternative transitions from a current dialog state to a next dialog state. The system further includes a storage for a plurality of templates, and wherein each dialog state is defined in terms of an interrelationship of one or more instances of the templates.
    Type: Grant
    Filed: November 10, 2016
    Date of Patent: April 30, 2019
    Assignee: Semantic Machines, Inc.
    Inventors: Jacob Daniel Andreas, Taylor Darwin Berg-Kirkpatrick, Pengyu Chen, Jordan Rian Cohen, Laurence Steven Gillick, David Leo Wright Hall, Daniel Klein, Michael Newman, Adam David Pauls, Daniel Lawrence Roth, Jesse Daniel Eskes Rusak, Andrew Robert Volpe, Steven Andrew Wegmann
  • Patent number: D846042
    Type: Grant
    Filed: July 5, 2017
    Date of Patent: April 16, 2019
    Assignee: Klein Yadhu LLP
    Inventors: Raj Yadhunanthanan, Alexander Daniel Klein