Sri International

Life Covenant Church, Inc.

Cory Albright

Elizabeth E Shriberg

Michael Frandsen

Andreas Tsiartas

Ajay Divakaran

William Scott Mark

Kenneth C Nitz

Girish Acharya

Amir Tamrakar

Edgar Kalns

Min Yin

Jihua Huang

Michael Wessel

Hyong-Gyun Kim

Brent Mombourquette

Eric Law

Greg Ho

James R Carpenter

David A Salter

James F Carpenter

Terry D Storch

Matthew Sanders

Robert L Gruenewald

Scott Bouma

David Salter

Methods, computing devices, and computer-program products are provided for implementing a virtual personal assistant. In various implementations, a virtual personal assistant can be configured to receive sensory input, including at least two different types of information. The virtual personal assistant can further be configured to determine semantic information from the sensory input, and to identify a context-specific framework. The virtual personal assistant can further be configured to determine a current intent. Determining the current intent can include using the semantic information and the context-specific framework. The virtual personal assistant can further be configured to determine a current input state. Determining the current input state can include using the semantic information and one or more behavioral models. The behavioral models can include one or more interpretations of previously-provided semantic information. The virtual personal assistant can further be configured to determine an action using the current intent and the current input state.

VPA with integrated object recognition and facial expression recognition

A system and method automatically associates an image and passage from a text. In the system and method, a user can choose or supply an image and the system and/or method will choose a limited selection of relevant word passages for the image from a relatively large volume of potential passages. The system and method utilize a computer system wherein a concept generator and a passage generator processes the content of the image so as to assign words to describe the content, then weight the descriptive words (tags) and assign passages based on the tags and weighting. The passages can be filtered so as to remove inappropriate passages.

System and method for associating images and text

Disclosed are machine learning-based technologies that analyze an audio input and provide speaker state predictions in response to the audio input. The speaker state predictions can be selected and customized for each of a variety of different applications.

Real-time speaker state analytics platform

Growing community of inventors

Helena, MT, United States of America

Cory Albright