Abstract: The present invention generally relates to a virtual reality (VR) navigation system using artificial intelligence (AI), thus enabling providing of individualized and context-aware navigation experience in VR environments. It consists of an AI-inclusive central processing unit (CPU) that receives and processes real-time data from multiple hardware sensors deployed in a wearable VR headset, e.g., inertial measurement units (IMUs), eye-tracking sensors, biometric ones. This is AI-driven CPU that dynamically changes the navigation path and sensory outputs such as visual, audio, haptic based on user input/interaction & environmental context. It consists of a hand-held controller with numerous input interfaces and a wireless communication module, enabling it to be easily linked or integrated into several VR applications.

Abstract: Self-aligned patterning with colored blocking and resulting structures are described. In an example, an integrated circuit structure includes an inter-layer dielectric (ILD) layer above a substrate, and a hardmask layer on the ILD layer. A plurality of conductive interconnect lines is in and spaced apart by the ILD layer and the hardmask layer. The plurality of conductive interconnect lines includes a first interconnect line having a first width. A second interconnect line is immediately adjacent the first interconnect line by a first distance, the second interconnect line having the first width. A third interconnect line is immediately adjacent the second interconnect line by the first distance, the third interconnect line having the first width. A fourth interconnect line is immediately adjacent the third interconnect line by a second distance greater than the first distance, the fourth interconnect line having a second width greater than the first width.

Abstract: A controller can securely publish an application of a tenant by securely extending a network fabric into the networks of the tenant with virtual private networks and NAT. After a tenant deploys an application into one or more networks of the tenant, the tenant can indicate select applications to publish. The network controller assigns a network address from the routable address space of the network fabric to the application and a network address aggregate to each application connector that will front an instance of the application, which securely extends the network fabric into the tenant network. The network controller configures NAT rules in the network fabric and on the application connector to create a route for traffic of the application through the network fabric to the application instance using a fully qualified domain name assigned to the application without exposing a private network address of the application instance and preserving security of other resource on the tenant network.

Abstract: Antibody molecules that specifically bind to APRIL are disclosed. The antibody molecules can be used to treat, prevent, and/or diagnose disorders, such as IgA nephropathy.

Abstract: A method for presenting personalized content to a user includes receiving user data corresponding to a user having a user profile, the user data including at least one or more messages in a user mailbox and a user web browser history within a network, extracting one or more data tags from the received user data, associated at least one data tag with a message, finding information in the network that corresponds to the associated data tag, generating a notification for the user, the notification including the found information in the network, and outputting the generated notification to a user interface of a device of the user.

Abstract: In accordance with some embodiments, systems, methods, and media for improving signal-to-noise ratio in single-photon data are provided. In some embodiments, a system comprises: a processor programmed to: generate, for each of a plurality of pixel locations, initial photon flux estimates based on a first set of photon transients including photon transients associated with the pixel location and neighboring pixel locations, each of the photon transients comprises a histogram of photon counts; identify, for a scene patch associated with each of the plurality of pixel locations, one or more similar scene patches using intensity information for each of the plurality of pixel locations; and generate, for each of the plurality of pixel locations, final photon flux estimates based on a second set of photon transients including photon transients associated with the scene patch and each of the one or more similar scene patches.

Abstract: Methods and systems for scene reconstruction are disclosed. The methods and systems include: receiving a set of frames for a scene, group the set of frames into multiple groups, merging multiple first and second frames in first and second initial groups of the multiple groups to generate first and merged frames, respectively, determining a homography across the first and second merged frames, and interpolating the homography to generate a warp to warp the set of frames. Then, the methods and system can repeat the grouping, the merging, the homography determining, and the interpolation. Then, the methods and system can provide a reconstructed image based on the warp of the set of frames. Other aspects, embodiments, and features are also claimed and described.

Abstract: Methods and systems are provided for generating images of a modality other than the modality of the sensor from which the image was acquired. For example, methods and systems described herein may acquire a temporal sequence of frame data captured by the image sensor. Once the temporal sequence of frame data is acquired, a desired imaging modality may be determined and a projection operation on the frame data may be performed. Based on the results of the projection operation, a post-capture emulation may be generated, corresponding to the desired imaging modality. An image may be outputted corresponding to the post-capture emulation.

Abstract: Methods and devices useful in performing precise indoor localization and tracking are provided. By way of example, a method includes locating and tracking, via a first wireless electronic device, a plurality of other wireless electronic devices within an indoor environment. Location ambiguity mitigation is performed using characteristics of signals received by a reference node used to generate a radio frequency map of electronic devices.

Abstract: Facilitating access to a PCIe configuration space of a PCIe function associated with a computer comprises receiving by a PCIe controller EP in the computer over a PCIe link a configuration request from a remote computer to access a PCIe configuration space. The PCIe controller then communicates over a communication fabric the configuration request to a dispatcher of the computer. The dispatcher determines from the configuration request, a PCIe function and operation indicated in the configuration request which is used to identify a respective subsystem to execute the configuration request and the configuration request is communicated to the respective subsystem based on the identification. The subsystem then executes the configuration request to facilitate access to the PCIe configuration space of the PCIe function by the remote computer and sharing of the PCIe function with the remote computer.

Abstract: Aspects of the subject disclosure may include, for example, a method of registering, by a processing system including a processor, a first service in a network comprising a plurality of nodes, wherein the first service comprises a plurality of routes between a source node and a destination node, and wherein the registering comprises creating a first table of weights for a first distribution of traffic among the plurality of routes in the first service; registering, by the processing system, a second service in the network including a second table of weights for a second distribution of traffic among a second plurality of routes for the second service; determining, by the processing system, whether a fault on a link in the network would create potential congestion in the first plurality of routes and the second plurality of routes; and modifying the first table of weights or the second table of weights responsive to determining the potential congestion. Other embodiments are disclosed.

Abstract: Systems and methods of anomaly detection in time-series are disclosed. A time-series dataset is received and a set of segments is iteratively defined from the time-series dataset by identifying a set of changepoints in the time-series dataset based on a changepoint type and a sensitivity parameter, determining whether the set of segments defined by the changepoints satisfy at least one threshold criteria, and modifying the sensitivity parameter when the threshold criteria is not met or outputting the set of segments when the threshold criteria is met. A segment-specific anomaly detection threshold is determined for each segment in the set of segments and a set of anomaly-flagged segments is generated. The set of anomaly flagged segments are generated by an anomaly detection process based on the segment-specific anomaly detection threshold for a corresponding segment. An anomaly-flagged time-series is generated by combining the set of anomaly-flagged segments.

Abstract: In accordance with some embodiments, various examples of systems, methods, and media for single photon depth imaging with improved efficiency using learned compressive representations are provided. For example, systems and methods herein may detect a photon arrival based on a signal from a detector at a given position and time bin. A compressed histogram comprising K stored values, representing bins of the compressed histogram based on K values in a code word calculated based on the time bin and position and K coding tensors. Such systems and methods may be utilized for, among other uses, determining depth in a scene being imaged by the detector.

Abstract: Techniques for electronic document content bookmarking are disclosed. In one embodiment, a method is disclosed comprising receiving user input indicating selection of a portion of the electronic document, receiving a request to bookmark the selected portion of the electronic document, generating a bookmark card for the selected portion of the electronic document, the bookmark card comprising information identifying the electronic document, the selected portion of the electronic document as bookmarked content and the at least one user-defined information item, receiving, via the computing device, a bookmark view request via the GUI, and causing display of the bookmark view via the GUI in response to the bookmark view request, the bookmark view comprising an entry corresponding to the generated bookmark card and providing the bookmarked content from the generated bookmark card, the bookmark view providing a number of actions selectable by the user in connection with the entry from the bookmark view.

Abstract: The present disclosure relates to information retrieval in computing systems in general and in particular to retrieving articles from various publishers corresponding to the breaking news headline. The present invention provides solution to the above-mentioned problem in the art by providing a system and a method for efficiently presenting a more accurate method of providing the relevant articles in a breaking news system to add value in terms of more user engagement and satisfaction. The system can use semantic models and multilingually trained sentence transformers to generate context-based recommendations for a breaking news headline. It is further refined by use of Knowledge Graphs (KG) and additional modes of information like images, videos present in the news article. These language agnostic signals along with the semantic understanding enables to generate succinct cross lingual recommendations.

Abstract: An interface provides answers to natural language user queries based upon real time data generated by live processes. The natural language queries are converted into a machine query syntax and the machine query syntax is provided to a large language model without sharing underlying data that is used to satisfy the natural language query by serving the data to the end user while, at the same time, masking the data from large language model, where interaction with the large language model is based upon a predefined syntax protocol. A reply is a received from the large language model in the same syntax and the reply is used to create an output to be served to the end user and/or to execute a functionality.

Abstract: Systems and methods are provided for obtaining raw mass spectrometry data from samples, determining signals present across the samples, determining a bin value to apply to the filtered mass spectrometry data, and after determining the bin value, generating an image-based representation of the raw mass spectrometry data, wherein the image-based representation indicates frequencies of peak intensities in each bin.

Abstract: The disclosure is directed to various ways of improving the functioning of computer systems, information networks, data stores, search engine systems and methods, and other advantages. Among other things, provided herein are methods, systems, components, processes, modules, blocks, circuits, sub-systems, articles, and other elements (collectively referred to in some cases as the “platform” or the “system”) that collectively enable, in one or more datastores (e.g., where each datastore may include one or more databases) and systems. A system and method for maintaining unified events such as maintaining an ontology data store and an event datastore. The event datastore may store event record instances of one or more different types of event records. The system and method may identify one or more types of event records that track a specific event type based on a specific event type of a new event instance.

Abstract: A computer-implemented method, according to one embodiment, includes: receiving encrypted data at a storage controller, and providing the encrypted data to a secure software container. The secure software container is configured to decrypt the encrypted data, calculate hash values using the decrypted data, and compress the decrypted data. The secure software container is also configured to re-encrypt the decrypted data. The computer-implemented method also includes receiving a new copy of the encrypted data from the secure software container. The new copy of the encrypted data may be compressed, include hash values calculated at the secure software container, or compressed as well as including hash values. The new copy of the encrypted data received may thereby be stored in memory.

Abstract: Methods and devices are provided for allowing a mobile device (e.g., a key fob or a consumer electronic device, such as a mobile phone, watch, or other wearable device) to interact with a vehicle such that a location of the mobile device can be determined by the vehicle, thereby enabling certain functionality of the vehicle. A device may include both RF antenna(s) and magnetic antenna(s) for determining a location of a mobile device relative to the vehicle. Such a hybrid approach can provide various advantages. Existing magnetic coils on a mobile device (e.g., for charging or communication) may be re-used for distance measurements that are supplemented by the RF measurements. Any device antenna may provide measurements to a machine learning model that determines a region in which the mobile device resides, based on training measurements in the regions.