Jpmorgan Chase Bank, N.a.

Bill Moriarty

Marco Pistoia

Shaohan Hu

Sean Moran

Rocky J Maufort

Matthew Murphy

Hargun Kalsi

Fanny Silavong

Rob Otter

Antonios Georgiadis

Brett Sanford

Robert Falconer Keith

Ashish Tiwari

Joachim Fainberg

Rohan Saphal

Georgios Papadopoulos

Aniella Arantes

Solomon Olaniyi Adebayo

Stephen Hall

Ahmad Emami

Systems and methods for wayfinding in hazardous environments are disclosed. In one embodiment, a method for wayfinding in a hazardous environment may include: (1) receiving, at an emergency response computer program executed by an electronic device, a plurality of real time streams of data, each real time stream of data from a sensing device in an area; (2) detecting, by the emergency response computer program, an alarm condition in the area based on the real-time streams of data; (3) determining, by the emergency response computer program, that the alarm condition satisfies an alarm condition rule; (4) calculating, by the emergency response computer program, a plurality of routes to an egress point from the area; and (5) controlling, by the emergency response computer program, a digital signage in the area to display one of the plurality of routes the egress point.

Systems and methods for wayfinding in hazardous environments

A method for dynamic detection and presentation of obscured real-world objects in augmented or mixed reality virtual content may include an object of interest computer program executed by an electronic device: (1) receiving data for a virtual or augmented reality object to display on an image of a physical environment on a display of the electronic device; (2) receiving data for a physical object in the physical environment; (3) determining that the physical object is obscured by the virtual or augmented reality object; (4) generating a representation of the physical object; and (5) providing the representation of the physical object to a virtual reality or augmented reality computer program executed by the electronic device, wherein the virtual reality or augmented reality computer program is configured to display the physical object over the virtual or augmented reality object.

Systems and methods for dynamic detection and presentation of obscured real-world objects in augmented or mixed reality virtual content

A global partitioning-based method for anonymizing a dataset of biometric data may include an anonymization computer program: (1) receiving a value k representing a number of records to hide a biometric datum among, a value t that represents a t-closeness parameter for a t-close distribution, a weight parameter, and a first number of features to retain for determining an attribute of interest; (2) receiving the attribute of interest; (3) calculating a distribution of the attribute of interest in a biometric dataset; (4) splitting the biometric dataset into a plurality of k-sized clusters that satisfy the t-close distribution; (5) anonymizing each biometric datum in the plurality of k-sized clusters using a weighted average of landmarks for the biometric datums in k-sized clusters using the weight parameter; (6) adding each anonymized biometric datum into an anonymized biometric dataset; and (7) persisting the anonymized biometric dataset.

Systems and methods for anonymizing a dataset of biometric data while retaining data utility

A method for facilitating identification of secrets in source code by using machine learning is provided. The method includes retrieving a plurality of files from a repository, each of the plurality of files including a source code file; parsing the source code file to identify a training feature; associating a predetermined label with the training feature, the predetermined label corresponding to a secret label and a non-secret label; training a model by using the training feature and the corresponding predetermined label; receiving, via a graphical user interface, a test file, the test file including a set of source codes; parsing the set of source codes to identify a feature; and determining, by using the model, a first characteristic of the feature.

Detecting secrets in source code

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West Chester, PA, United States of America

Bill Moriarty