Georgetown University

Aura Home, Inc.

Illinois Institute of Technology

Pushd, Inc.

Harris Corporation

Oregon State University

Dialogic Corporation

Alion Science and Technology Corporation

Sondermind Inc.

Oracle International Corporation

Northwestern University

Other

Carnegie Mellon University

Twitter, Inc.

Children's Hospital Medical Center

Ophir Frieder

Abdur Chowdhury

Eric Jensen

Ben Cherry

Matt Sanford

Alek Kolcz

Richard Sanford

Sanjiv Kapoor

Howard J Federoff

Gideon Frieder

Jon Parker

Eric William Burger

Kevin Lee Fox

Scott Milstein

Margaret M Knepper

Tyler Howarth

Daniel Waldron

Jonathan Wirt

Cristopher Flagg

Gregory Scott Pass

Steven Richard Reese

Nicola Tonellotto

Hao-Ren Yao

David M Hartley

Raffaele Perego

Ryan Leary

Ida Mele

Peng-Jun Wan

Wai Gen Yee

Ramon Dempers

Der-Chen Chang

Ajaipal Singh Virdy

Glen Coppersmith

Patrick N Crutchley

Anthony D Wood

Aleksander Yelskiy

Thomas Clay Shields

Marcus A Maloof

Andrew Lorek

Chris Carella

Jessica Ryan Curtis

Anthony J Schaeffer

Massimo S Fiandaca

Joseph M Nemethy

Scott Chapps

Emily Moyer

David Adam Grossman

Robert A Killam

Micah Sherr

Joe Garman

Jordan Wilberding

Prooshat Saberi

Alice Urmey

Neil Bhakta

Eric J Snowberg

Nicole M Melander

Vincent AnhDzung Nguyen

Gregory J Cusick

Ian Miles Ownbey

Ramesh Jain

Gad Agam

Jian-young Wu

Shangping Ren

Chenyan Xiong

Liwen Sun

Nili S Yossinger

Mario Enrique Gomez Fernandez

Franco Maria Nardini

Christina-Ioana Muntean

Nandakiran Kirubanandan

Salih Kagan Agun

Khaled Muhyeddin M Alzoubi

Gholam Motamedi

Liwu Liu

Systems and processes described herein are for monitoring data records and predicting changes to coded values in the data records. More specifically, this disclosure relates to predicting and potentially preventing anomalies represented in data records by predicting values of entries to be added to the data records and causing a prophylactic response to the predicted anomaly to prevent the anomaly from occurring.

Generating high-fidelity predictions of changes to coded data records

A method in a data processing system and apparatus for organizing files, data items, web site members, or web pages, structured or unstructured, of multiple users stored across one or more server computers into hierarchical file structures on a recordable medium of a data processing system. A user-defined metalabel is assigned to each of the electronic files, data items, web site members, or web pages that are organized as a function of the metalabels into the hierarchical file structures. The method includes automatically weighting of individual metalabels as a function of a relevance of the at least one searchable term found in the corresponding one of the electronic files, data items, web site members, or web pages. Searching the plurality of hierarchical structures can then be done with a query including at least one term and a relevance threshold returning the matched data.

Contextually weighted metalabels for improved search in hierarchical abstract data organization systems

A method is provided to reduce the counting times in radiation detection systems using machine learning, wherein the method comprises: receiving output data from a detector which is to detect a target material from a target body; analyzing the output data; identifying a material of interest from the analyzed output data; and controlling a source of the target material to prevent the source from harming the target body. An apparatus is also provided which comprises: a detector to detect radiation and to provide an output data in real-time; and a processor coupled to the detector, wherein the processor is to: receive the output data; analyze the output data; identify a material of interest from the analyzed output data; and control a source of the target material.

Apparatus and process for optimizing radiation detection counting times using machine learning

Technologies are described for reconstructing facial models which are preserved images or images captured from security cameras. The reconstructed models can be three-dimensional (3D) point clouds and can be compared to existing facial models and/or other reconstructed models based on physical geometry. The 3D point cloud models can be encoded into one or more latent space feature vector representations which can allow both local and global geometric properties of a face to be described. The one or more feature vector representations of a target face can be used individually or in combination with other descriptors for recognition, retrieval, and classification tasks. Neural networks can be used in the encoding of the one or more feature vector representations.

Facial recognition using 3D model

A method in a data processing system and apparatus for organizing electronic data, structured or unstructured, of one or more users stored across one or more server computers into structures on a recordable medium of a data processing system. The data items are structured in a heterogeneous string structure, and one or more embedded n-dimensional range structure within the heterogeneous string structure. Searching the plurality of string structures can then be done with a query including at least one term and a range threshold. Each data item is associated with a scoring function that is used to filter and rank the matched results.

String search structures with embedded range search structures

A method and system for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera, microphone, and speaker integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. Clustering photos by content is used to improve display and to respond to photo viewer desires. Trends or patterns can be detected from the photo collections and that information used for various purposes beyond photo display. The frame includes a conversational intelligence that provides a verbal communication with a viewer, such as for determining an identity or preferences of the frame viewer, determining photos to display for the viewer, discussing displayed photos with the viewer, or telling stories to the viewer based upon photo content.

Digital picture frame with conversation capabilities

A computer evaluates free-form text messages among members of a team, using natural language processing techniques to process the text messages and to assess psychological state of the team members as reflected it the text messages. The computer assembles the psychological state as reflected in the messages to evaluate team collective psychological state. The computer reports a trend of team collective psychological state in natural language text form.

Modeling analysis of team behavior and communication

An orthopedic support and/or treatment system including a brace, sleeve, and/or insert, comprising a power subsystem; a sensor subsystem; an adjustment mechanism; a software subsystem; a communication subsystem; and a telemedicine subsystem. The orthopedic treatment system includes and communicates over a network to a remote controlling device. The remote control device can be a computer, a mobile device, or any other controller. The sensor subsystem communicates to the remote control device, which in turn can be used to control the adjustment mechanism to adjust a tension or compression of the brace or sleeve.

Orthopedic devices and systems integrated with sensors and controlling devices

Digital picture frame with ficticious storytelling

Embodiments of the present systems and methods may provide techniques to predict the success or failure of a drug used for disease treatment. For example, a method of determining drug efficacy may include, for a plurality of patients, generating a directed acyclic graph from health related information of each patient comprising nodes representing a medical event of the patient, at least one first edge connecting the first node to an additional node, each additional edge connecting nodes representing two consecutive medical events, the edge having a weight based on a time difference between the two consecutive medical events, capturing a plurality of features from each directed acyclic graph, generating a binary graph classification model on captured features of each directed acyclic graph, determining a probability that a drug or treatment will be effective using the binary graph classification model, and determining a drug to be prescribed to a patient based on the determined probability.

Method and system for assessing drug efficacy using multiple graph kernel fusion

Technologies are described for retrieving documents using image representations in the documents and is based on intra-image features. The identification of elements within an image representation can allow for deeper understanding of the image representation and for better relating image representations based on their intra-image features. The intra-image features present in image representations can be used in searches. Search results can further be reranked to improve search results. For example, reranking can allow search results to conform to intra-image dominant image features.

Document retrieval using intra-image relationships

A method for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. Clustering photos by content is used to improve display and to respond to photo viewer desires. Trends or patterns can be detected from the photo collections and that information used for various purposes beyond photo display.

Digital photo trend detection for digital picture frames

A digital picture frame including a camera integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from a user's social media account or her or his community members' social media accounts. The integrated camera is used to automatically determine an identity of a frame viewer, and a viewer profile automatically determined from the identity of the viewer. The displayed photos are automatically shown and/or changed according to the detected viewers.

Method for sharing photos from photo clusters to digital picture frames

A machine-learning tool learns from sensors' data of a nuclear reactor at steady state and maps them to controls of the nuclear reactor. The tool learns all given ranges of normal operation and responses for corrective measures. The tool may train another learning tool (or the same tool) that forecasts the behavior of the reactor based on real-time changes (e.g., every 10 seconds). The tool implements an optimization technique for differing half-life materials to be placed in the reactor. The tool maximizes isotope production based on optimal controls of the reactor.

Method and apparatus for real-time learning-based augmented irradiation control and optimization

A method and apparatus for displaying digital photos on a digital display with a network connection module. The method includes identifying two different photos in a digital photo collection that include a matching photo content, and displaying the two different photos simultaneously in a split screen on the digital display. The two different photos can be matched from related photo clusters. An integrated camera can be used to automatically determine an identity of a frame viewer to determine photos to display, and can capture gesture-based feedback. The photos can be filtered and cropped at the receiver side.

Method of displaying two adjacent photos on a split screen digital picture frame

Growing community of inventors

Chevy Chase, MD, United States of America

Ophir Frieder