Abstract: Provided herein are compositions obtained from processing pongamia oilseeds. The resulting pongamia compositions may be in the form of meal, and have an optimized nutritional composition achieved by subjecting pongamia oilseeds to certain processing steps. The resulting pongamia compositions may also have reduced levels of karanjin, pongamol and tannins. Such pongamia compositions may be suitable as food or food ingredients to humans and other animals.

Abstract: A first application name is received. For example, the first application name may be the name of the application, a Universal Resource Locator (URL) of a web site (e.g., microfocus.com), and/or the like. The first application name represents a computer application of a plurality of computer applications that the user logs into. A global password is received from the user. The global password is used as a seed to login to the plurality of computer applications. The global password is converted to a phonetic password. A first application password is generated for the first computer application based on the first application name and the phonetic password. For example, the first application name and the phonetic password are used as an input to a key deviation function. The first application password is then displayed to the user. The user can then use the displayed password to login to the first application.

Abstract: The disclosed subject matter relates to a system and method for facilitating automated conversations with users over a network. In some embodiment, a disclosed system includes a computing device operably connected to a database, and is configured to receive a plurality of incoming messages from a first user in an asynchronous manner; and identify a user request associated with the plurality of incoming messages. In these embodiments, the computing device determines that the plurality of incoming messages are all incoming messages that are associated with the user request; processes the plurality of incoming messages together; and generates at least one outgoing message as a response to the user request.

Abstract: A method and apparatus for decoding quasi-cyclic LDPC codes using a vertical layered iterative message passing algorithm. The algorithm of the method improves the efficiency of the check node update by using one or more additional magnitudes, predicted with predictive magnitude maps, for the computation of messages and update of the check node states. The method allows reducing the computational complexity, as well as the storage requirements, of the processing units in the check node update. Several embodiments for the apparatus are presented, using one or more predictive magnitude maps, targeting significant savings in resource usage and power consumption, while minimizing the impact on the error correction performance loss.

Abstract: In one embodiment, a system for managing a virtualization environment includes a set of host machines, each of which includes a hypervisor, virtual machines, and a virtual machine controller, one or more virtual disks comprising a plurality of storage devices, the one or more virtual disks being accessible by the virtual machine controllers, where the virtual machine controllers conduct I/O transactions with the virtual disks, and a deployment system configured to receive a request to deploy a virtualized file server on a plurality of host machines, where the request is associated with deployment parameters, select a deployment image for the host machines based on the deployment parameters, and provide the deployment image to each host machine via the virtual disk. The virtual machine controller located on the host machine stores at least a portion of the deployment image on a storage device associated with the host machine.

Abstract: Certain aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for determining a current status of cellular vehicle to everything (CV2X) traffic and then allocating application processor resources for a CV2X call based on the current status of the CV2X traffic.

Abstract: A device may include a processor configured to select a quantum key distribution transmission; identify an optical fiber path via which the quantum key distribution transmission is to be performed; determine one or more values for at least one transmission parameter for the identified optical fiber path; and select a pulse script for the optical fiber path based on the determined one or more values for the at least one transmission parameter. The processor may be further configured to perform the quantum key distribution transmission via the identified optical fiber path using the selected pulse script.

Abstract: Various embodiments disclosed herein are related to a non-transitory computer readable storage medium. In some embodiments, the medium includes instructions stored thereon that, when executed by a processor, cause the processor to classify, on a cloud server, a plurality of clusters of an edge network based on one or more classification parameters, detect that a first cluster in a first datacenter of the edge network has an issue, determine a classification parameter value of the first cluster, determine that a second cluster in a second datacenter of the edge network has a second classification parameter value within a predetermined amount of the classification parameter value, and send an instruction to the second cluster to perform a remediation action.

Abstract: Devices and techniques are generally described for dynamic policy determination using machine learning. In some examples, first goal data may be received. A first machine learning model may generate a first computer-executable policy based at least in part on the first goal data. In some examples, a first search query may be received. In various examples, the first search query may be modified by the first computer-executable policy to generate a modified search query. In some examples, first feedback data related to user interaction with search results of the modified search query may be determined. In various examples, at least one parameter of the first machine learning model may be updated based at least in part on the first feedback data to generate a second machine learning model.

Abstract: Systems and methods provide a demand forecasting and network optimization for telecommunications services in a network. The systems and methods use classical and quantum computing devices. The computing devices evaluate data types using statistical symmetry recognition and operate between classical and quantum environments. Computing devices receive deposited data, batch data, and streamed data that relates to telecommunications services and segregate the data into spatial and temporal factors. The computing devices receive an analytic request for a forecast of the telecommunications services and conduct a multi-class plural-factored elastic cluster (MPEC) analysis for the telecommunications services using the segregated data. The MPEC analysis includes generating vectors comprised of slopes from plural coefficients to determine demand elasticity from plural features.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing multiple modalities to generate accurate two-dimensional floorplans based on sparse digital videos depicting three-dimensional space. In particular, in one or more embodiments, the disclosed systems extract both visual and audio information from sparse digital video coverage of portions of a three-dimensional space and utilize the extracted visual and audio information to generate a two-dimensional floorplan representing both viewed and unviewed portions of the three-dimensional space. For example, the disclosed systems utilize self-attention layers of a specialized machine learning model to maintain and leverage bi-directional relationships among sequences of visual and audio features to generate floorplan predictions associated with the three-dimensional space.

Abstract: A method and a system for using an online learning framework for mixture of multivariate Hawkes processes to model sequences of events are provided. The method includes: receiving data that corresponds to a group of event sequences; generating a mixture of multivariate Hawkes processes model based on the group of event sequences; and adjusting the model by applying an online learning algorithm to the generated model. The online learning algorithm includes an E-step that corresponds to updating a set of responsibilities that relates to the group of event sequences and an M-step that corresponds to updating Hawkes processes parameters that relate to the group of event sequences.

Abstract: An audio system includes a plurality of transducers, one or more acoustic sensors, and a controller. The plurality of transducers transmits an ultrasonic beam towards an ear of a user. The one or more acoustic sensors detect a reflected signal generated by an interaction of the ultrasonic beam with the ear. The controller updates a three-dimensional geometry of the ear based on the reflected signal. The controller determines a head-related transfer function (HRTF) for the user based in part on the three-dimensional geometry of the ear.

Abstract: In one embodiment, a computing system may capture, by a camera on a headset worn by a user, images that capture a body part of the user. The system may determine, based on the captured images, motion features encoding a motion history of the user. The system may detect, in the images, foreground pixels corresponding to the user's body part. The system may determine, based on the foreground pixels, shape features encoding the body part of the user captured by the camera. The system may determine a three-dimensional body pose and a three-dimensional head pose of the user based on the motion features and shape features. The system may generate a pose volume representation based on foreground pixels and the three-dimensional head pose of the user. The system may determine a refined three-dimensional body pose of the user based on the pose volume representation and the three-dimensional body pose.

Abstract: In an aspect, a method includes determining, by a processor of a vehicle, that an original equipment manufacturer (OEM) subscription of the vehicle is set to a low capability subscription. The method includes determining, by the processor, that the low capability subscription is unable to access a network at a current location of the vehicle based on the low capability subscription. The method also includes determining, by the processor and based on sensor data received from one or more sensors of the vehicle, a probability of an accident occurring to the vehicle. The method further includes determining, by the processor, that the probability satisfies a threshold. The method includes switching, by the processor, the OEM subscription from the low capability subscription to a high capability subscription.

Abstract: In an embodiment, processing of biometric data is split between a processor on a peripheral device and a processor of a host device that is coupled with the peripheral device. One embodiment provides a method comprising, on a peripheral device coupled with a host device, capturing biometric data using a biometric sensor of a peripheral device and pre-processing the captured biometric data using a processor of the peripheral device. The processor of the peripheral device is separate from a processor of the host device and resides within a chassis or housing of the peripheral device. The method additionally includes pre-validating the pre-processed biometric data to determine whether the pre-processed biometric data meets a minimum quality threshold and transmitting the pre-validated biometric data to the host device for validation.

Abstract: A first device nonce and a first Hash based Message Authentication Code (HMAC) of the first device nonce using an old password as a key is received. The received first HMAC is compared to a computed second HMAC of the received first device nonce using a stored old password as the key for a match. In response to the match, a third HMAC of a second device nonce using the stored old password as the key is computed. A change password acknowledgement message is sent to the first device that comprises the second device nonce and the third HMAC. A final secret is computed using a second device secret and the first device nonce. A new password using a key derivation function that uses the old password and the final secret is computed. Thus, a new password is generated without sending the password over a network.

Abstract: Embodiments relate to calibrating head-related transfer functions (HRTFs) for a user of an audio system (e.g., as a component of a headset) using cartilage conducted sounds. A test sound is presented to a user using a transducer (e.g., cartilage conduction) and an audio signal is responsively received via a microphone at an entrance to the user's ear canal. The test sound and audio signal combination may be provided to an audio server where a model is used to determine one or more HRTFs for the user. Information describing the one or more HRTFs is provided to the audio system to be used for providing audio to the user. The audio server may also use a model to determine geometric information describing a pinna of the user based on the combination. In one embodiment, the geometric information is used to determine the one or more HRTFs for the user.

Abstract: Embodiments described herein provide for the granular network-based detection of UE location in a RAN that includes one or more mobile base stations using quantum computing. Mobile base stations may be, for example, affixed on vehicles (e.g., cars, trucks, drones, etc.), may be implemented by other UEs, and/or may otherwise be non-stationary. In contrast, fixed base stations may be mounted to towers, buildings, or other types of permanent or semi-permanent installations. Quantum computing techniques, as described herein, may aid in the precise determination of UE location using triangulation techniques and/or other network-based location techniques. Further, in RANs that include mobile base stations, the locations of both the UE and a reference point may change relatively rapidly. The use of quantum computing, as described herein, may aid in the fast and precise determination of UE location in situations where mobile base stations and/or UEs are moving rapidly.

Abstract: The present invention relates to a process for the preparation of amorphous Selexipag from Selexipag crystalline salts using a solvent.