Apple Inc.

Sri International

Viv Labs, Inc.

Genetic Finance (barbados) Limited

Airbnb, Inc.

Sri International Offices

Adam John Cheyer

Thomas R Gruber

Christopher Dean Brigham

Didier Rene Guzzoni

Thomas Robert Gruber

Harry Joseph Saddler

Richard Donald Giuli

Dag Kittlaus

Marcello Bastea-Forte

Daniel S Keen

Mark Gregory Gabel

David L Martin

Kenneth L Kocienda

Donald Walter Pitschel

Dimitris Voutsas

Luc Julia

Babak Hodjat

Hormoz Shahrzad

Kenneth C Nitz

Thierry Donneau-Golencer

Christine Halverson

Stephen L Hardt

Antoine Blondeau

Peter Harrigan

Leslie Pound

Luc E Julia

William Scott Mark

Bart Peintner

Neil Yorke-Smith

Douglas B Moran

Melinda Gervasio

Lik Harry Chen

David Dunkley

Siamak Hodjat

Pauline M Berry

Joshua Levy

Harry Chen

The intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Task flow identification based on user intent

System receives request from user for decision making options, and provide gameplan document that suggests accessing first and second data source to collect options. System extracts first data records set from content copied by user from first data source, and inserts first data records set in first table in gameplan document. System extracts second data records set from content copied by user from second data source, and inserts second data records set in second table in gameplan document. System inserts combined data records set, based on first data records set joined with second data records set, in combined data table in gameplan document. System enables user to identify candidates, for options, in combined data records set in response to user commands. System determines overall scores corresponding to candidates, based on applying criteria, scored by user, to each candidate. System outputs candidates, ranked based on corresponding scores, as decision making options.

Gameplans for improved decision-making

Intelligent automated assistant

A method and apparatus are provided for building an intelligent automated assistant. Embodiments of the present invention rely on the concept of 'active ontologies' (e.g., execution environments constructed in an ontology-like manner) to build and run applications for use by intelligent automated assistants. In one specific embodiment, a method for building an automated assistant includes interfacing a service-oriented architecture that includes a plurality of remote services to an active ontology, where the active ontology includes at least one active processing element that models a domain. At least one of the remote services is then registered for use in the domain.

Method and apparatus for building an intelligent automated assistant

The electronic device with one or more processors and memory receives an input of a user. The electronic device, in accordance with the input, identifies a respective task type from a plurality of predefined task types associated with a plurality of third party service providers. The respective task type is associated with at least one third party service provider for which the user is authorized and at least one third party service provider for which the user is not authorized. In response to identifying the respective task type, the electronic device sends a request to perform at least a portion of a task to a third party service provider of the plurality of third party service providers that is associated with the respective task type.

Systems and methods for integrating third party services with a digital assistant

Embodiments of the present invention provide a method and apparatus for searching using an active ontology. One embodiment of a method for searching a database includes receiving a search string, where the search string comprises one or more words, generating a semantic representation of the search string in accordance with an ontology, searching the database using the semantic representation, and outputting a result of the searching.

Method and apparatus for searching using an active ontology

A dynamically evolving cognitive architecture system based on prompting for additional user input is described. A system forms an intent based on a user input, and creates a plan based on the intent. The plan includes a first action object that transforms a first concept object associated with the intent into a second concept object and also includes a second action object that transforms the second concept object into a third concept object associated with a goal of the intent. The first action object and the second action object are selected from multiple action objects. The system executes the plan, and outputs a value associated with the third concept object.

Dynamically evolving cognitive architecture system based on prompting for additional user input

A device can be configured to receive speech input from a user. The speech input can include a command for accessing a restricted feature of the device. The speech input can be compared to a voiceprint (e.g., text-independent voiceprint) of the user's voice to authenticate the user to the device. Responsive to successful authentication of the user to the device, the user is allowed access to the restricted feature without the user having to perform additional authentication steps or speaking the command again. If the user is not successfully authenticated to the device, additional authentication steps can be request by the device (e.g., request a password).

Device access using voice authentication

Growing community of inventors

Oakland, CA, United States of America

Adam John Cheyer