Nant Holdingsip, LLC

Nantomics, LLC

Jeremi M Sudol

Bing Song

Kamil A Wnuk

David McKinnon

Matheen M Siddiqui

John Wiacek

Orang Dialameh

Mustafa Jaber

Patrick Soon-Shiong

Nicholas James Witchey

Timothy C Dorcey

Douglas Miller

Charles Blanchard

Shahrooz Rabizadeh

Charles Joseph Vaske

Christopher W Szeto

Orange Dialameh

Apparatus, methods and systems of providing AR content are disclosed. Embodiments of the inventive subject matter can obtain an initial map of an area, derive views of interest, obtain AR content objects associated with the views of interest, establish experience clusters and generate a tile map tessellated based on the experience clusters. A user device could be configured to obtain and instantiate at least some of the AR content objects based on at least one of a location and a recognition.

Wide area augmented reality location-based services

An augmented reality-based content authoring tool is presented. A content author arranges machine-recognizable markers in a physical environment. A computing device operating as the authoring tool recognizes the markers and their arrangement based on a captured digital representation of the physical environment. Once recognized, augmented reality primitives corresponding to the markers can be bound together via their primitive interfaces to give rise to a content set. The individual primitives and content set are instantiated based on the nature of the marker's arrangement.

Marker-based augmented reality authoring tools

An object recognition ingestion system is presented. The object ingestion system captures image data of objects, possibly in an uncontrolled setting. The image data is analyzed to determine if one or more a priori know canonical shape objects match the object represented in the image data. The canonical shape object also includes one or more reference PoVs indicating perspectives from which to analyze objects having the corresponding shape. An object ingestion engine combines the canonical shape object along with the image data to create a model of the object. The engine generates a desirable set of model PoVs from the reference PoVs, and then generates recognition descriptors from each of the model PoVs. The descriptors, image data, model PoVs, or other contextually relevant information are combined into key frame bundles having sufficient information to allow other computing devices to recognize the object at a later time.

Object ingestion and recognition systems and methods

There is presented a system and method for providing real-time object recognition to a remote user. The system comprises a portable communication device including a camera, at least one client-server host device remote from and accessible by the portable communication device over a network, and a recognition database accessible by the client-server host device or devices. A recognition application residing on the client-server host device or devices is capable of utilizing the recognition database to provide real-time object recognition of visual imagery captured using the portable communication device to the remote user of the portable communication device. In one embodiment, a sighted assistant shares an augmented reality panorama with a visually impaired user of the portable communication device where the panorama is constructed from sensor data from the device.

Augmented reality panorama systems and methods

Techniques are provided for predicting MHC-peptide binding affinity. A plurality of training peptide sequences is obtained, and a neural network model is trained to predict MHC-peptide binding affinity using the training peptide sequences. An encoder of the neural network model comprising an RNN is configured to process an input training peptide sequence to generate a fixed-dimension encoding output by applying a final hidden state of the RNN at intermediate state outputs of the RNN to generate attention weighted outputs, and linearly combining the attention weighted outputs. A fully connected layer following the encoder is configured to process the fixed-dimension encoding output to generate an MHC-peptide binding affinity prediction output. A computing device is configured to use the trained neural network to predict MHC-peptide binding affinity for a test peptide sequence.

Methods and systems for improved major histocompatibility complex (MHC)-peptide binding prediction of neoepitopes using a recurrent neural network encoder and attention weighting

A system capable of determining which recognition algorithms should be applied to regions of interest within digital representations is presented. A preprocessing module utilizes one or more feature identification algorithms to determine regions of interest based on feature density. The preprocessing modules leverages the feature density signature for each region to determine which of a plurality of diverse recognition modules should operate on the region of interest. A specific embodiment that focuses on structured documents is also presented. Further, the disclosed approach can be enhanced by addition of an object classifier that classifies types of objects found in the regions of interest.

Feature density object classification, systems and methods

Augmented reality position-based service, methods, and systems

Object ingestion through canonical shapes, systems and methods

A sensor data processing system and method is described. Contemplated systems and methods derive a first recognition trait of an object from a first data set that represents the object in a first environmental state. A second recognition trait of the object is then derived from a second data set that represents the object in a second environmental state. The sensor data processing systems and methods then identifies a mapping of elements of the first and second recognition traits in a new representation space. The mapping of elements satisfies a variance criterion for corresponding elements, which allows the mapping to be used for object recognition. The sensor data processing systems and methods described herein provide new object recognition techniques that are computationally efficient and can be performed in real-time by the mobile phone technology that is currently available.

Invariant-based dimensional reduction of object recognition features, systems and methods

Growing community of inventors

Los Angeles, CA, United States of America

Jeremi M Sudol