Hewlett-packard Development Company, L.p.

Motorola Solutions, Inc.

Avigilon Corporation

Oncoimmune, Inc.

Children's Research Institute, Children's National Medical Center

International Business Machines Corporation

Hewlett Packard Enterprise Development LP

University of Michigan

Entit Software LLC

Oncolmmune, Inc.

Yin Wang

Yang Liu

Pan Zheng

Yan Liu

Sami N Malek

Chia Ying Lee

Aleksey Lipchin

George H Forman

Arif Abdulhusein Merchant

Sandeep Madhav Uttamchandani

Chetan Kumar Gupta

Sharad Singhal

Aameek Singh

Ram Swaminathan

Yanyan Hu

Hamid Reza Motahari Nezhad

Lukasz Osuch

Lu He

Qifan Liang

Kangyan Liu

Mahalia Katherine Miller

Weijuan Wu

Ahmed Nazeem

Euan Brodie

Tao Zuo

Runhua Liu

Lizhong Wang

Xing Chang

Xuemei Liu

Christopher Bailey

Dung-Han Lee

Pan Zeng

A method and system for profiling a reference image and an object-of-interest therewithin is disclosed. The method includes storing semantic metadata that provides semantic information about environments for respective areas covered by respective Fields Of View (FOVs) of video cameras. The method also includes comparing the semantic metadata to additional metadata corresponding to at least one of an object accessory and a non-permanent object facet to identify a subset of the video cameras, less than an entire video camera universe, that meet a similarity score condition.

Method and system for profiling a reference image and an object-of-interest therewithin

A computer-implemented method of localizing an image of a person captured using a camera is provided, the person in the field of view of a camera, comprising: obtaining the image captured using a camera, the image comprising the person within a bounding box; determining at least one slant value associated with the person within the bounding box; determining head image coordinates and feet image coordinates for the person using the at least one slant value; and localizing the person by projecting the head image coordinates to a head plane and the feet image coordinates for the person to a ground plane.

Method and system for calibrating a camera and localizing objects within the camera field of view

Methods for detecting anomalies in a geographic area include receiving, from an electronic computing device, expected relationship data indicating expected relationships between a plurality of entities within the geographic area; detecting the plurality of entities within the geographic area; generating observed relationship data indicating observed relationships between the plurality of entities; identifying the expected relationships between the plurality of entities based on the expected relationship data; determining that a given observed relationship between two entities of the plurality of entities is likely to represent an anomaly based on the expected relationship data; and providing an electronic notification to a safety officer, the electronic notification indicating that the given observed relationship is likely to represent the anomaly.

Systems and methods for detecting anomalies in geographic areas

A liposomal drug formulation for treating a disease in a patient characterized by overexpression of HIF-1&#x3b1; and/or HIF-2&#x3b1; includes a plurality of liposomes in a pharmaceutically acceptable carrier. The liposomes encapsulate echinomycin and are made from a peglyated phospholipid, a neutral phosphoglyceride, and a sterol. The PEGylated liposomes may be used to treat proliferative diseases, leukemia, cancer, autoimmune diseases and graft-versus-host disease.

Echinomycin formulation, method of making and method of use thereof

Methods, systems, and techniques for performing object detection using a convolutional neural network (CNN) involve obtaining an image and then processing the image using the CNN to generate a first feature pyramid and a second feature pyramid from the first pyramid. The second pyramid includes an enhanced feature map, which is generated by combining an upsampled feature map and a feature map of the first feature pyramid that has a corresponding or lower resolution of a resolution of the enhanced feature map. The upsampled feature map is generated by upsampling a feature map of the second feature pyramid that is at a shallower position in the CNN than the enhanced feature map. The enhanced feature map is split into channel feature maps of different resolutions, with each of the channel feature maps corresponding to channels of the enhanced feature map. Object detection is performed on the channel feature maps.

Method and system for performing object detection using a convolutional neural network

A method of preventing the development of GvHD or reducing the severity of GvHD in a mammalian subject receiving an allogeneic hematopoietic stem cell (HSC) transplant includes administering to the subject a pharmaceutical composition comprising an active agent that inhibits the biological activity or expression of hypoxia-inducible factor-1a (HIF-1a) or hypoxia-inducible factor-2a (HIF-2a), wherein the active agent is administered in an amount effective for preventing or reducing the severity GvHD in the subject.

Compositions and methods for treating graft versus host disease

Methods, systems, and techniques for classifying an object-of-interest using an artificial neural network, such as a convolutional neural network. An artificial neural network receives a sample image including the object-of-interest overlaying a background and a sample background image excluding the object-of-interest and corresponding to the background overlaid by the object-of-interest. The object-of-interest is classified using the artificial neural network. The artificial neural network classifies the object-of-interest using the sample background and sample images. Prior to receiving the sample background and sample images the artificial neural network has been trained to classify the object-of-interest using training image pairs. Each of at least some of the training image pairs includes a first training image that includes a training object-of-interest overlaying a training background and a training background image excluding the training object-of-interest and corresponding to the training background.

Method and system for classifying an object-of-interest using an artificial neural network

A method and a system of generating a non-deterministic model of an artifact system for a received goal are provided. A description of artifacts and services associated with an original version of a process is received. Component automata represent the artifacts and services that are automatically generated. There is one component automaton for each attribute of an artifact. States of a particular component automaton represents potential values of a particular attribute and transitions between the states represent services that operate on the values. A non-deterministic model of the process is generated by automatically generating a composite automaton, which includes the component automata, based on the received goal. The composite automaton provides the non-deterministic model of the process.

Generating a non-deterministic model of a process for a goal

The present invention relates to treating a hematologic cancer using a Hypoxia-Inducible Factor (HIF inhibitor). The invention also relates to inducing acute myeloid leukemia remission using the HIF inhibitor. The invention further relates to inhibiting a maintenance or survival function of a cancer stem cell (CSC) using the HIF inhibitor.

Uses of hypoxia-inducible factor inhibitors

A technique for updating road maps is disclosed. A number of GPS traces can be matched with a number of roads in a map. Matched GPS traces may be processed by a matched segment module to produce proposed changes to the map. The map can be updated using a map updating module based on the proposed changes from the matched segment module. Unmatched GPS traces may be processed by an unmatched segment module to produce proposed changes to the map. The map can be updated using a map updating module based on the proposed changes from the unmatched segment module. The proposed changes to the map may include metadata defining new roads in the map, new intersections in the map, updates to turn restrictions in the map, updates to the allowable directional traffic flow on the roads within the map, updates to road closures in the map.

Updating road maps

A method and system for identifying impact of a traffic incident on a road network, wherein the impact may be measured in terms of a spatial-temporal-impact region, in terms of incident duration from the time the incident is reported to the time at which the affected road network returns to recurrent flow conditions, and in terms of a cumulative time delay of all affected drivers.

Identifying impact of a traffic incident on a road network

A method of generating a set of composite services is provided herein. The method includes receiving standardized service descriptions of a set of component services from service providers. The standardized description of a component service may be translated to an automaton-based description. A specified goal associated with the set of component services may be received. The set of composite services may be generated based on the automaton-based description and the specified goal. Each of the generated composite services may accomplish the specified goal.

Composition of services

Management of a planner through use of a middleware layer. A computer system is configured with the middleware layer in communication with both a planner and a data repository. One or more modules are provided in the middleware layer to support the functionality of the planner. Application program interface calls are employed to call the modules, thereby mitigating duplication of the functionality in separate planners.

Middleware for extracting aggregation statistics to enable light-weight management planners

Growing community of inventors

Washington, DC, United States of America

Yin Wang