Abstract: Systems and methods are provided for specifying a link recommendation. Such a link recommendation can recommend a particular multi-link operation (MLO) link between an access point (AP) multi-link device (AP MLD) and a non-AP MLD, such as a client device or station for use when exchanging data frames. Conventional usage of MLO can result in non-AP MLDs attempting to associate to a particular AP MLD over the same link, which can result in overloading of that link. This is because the implementation of MLO elevates the context of AP-client device/station association to a higher level, i.e., the device/MLD level, and the link on which data frames are sent or received between an AP MLD and a non-AP MLD s no longer a consideration/relevant. However, the transmission of link recommendations indicating links to use (or to avoid), avoids or lessens the risk that multiple non-AP MLDs attempting to associate to an AP MLD will overload or overuse the same link.

Abstract: A processor circuit of a wearable gaming device receives display data corresponding to a real-time environmental model of a shared virtual environment (SVE) including a plurality of virtual persons and a plurality of virtual gaming devices, the display data including user display data that causes a display device to render a portion of the SVE based on a virtual orientation of the gaming device and a virtual location of a respective player of a plurality of players in the SVE, the portion of the SVE for the player comprising a virtual representation of another player of the plurality of players in the SVE. The processor circuit receives user input from the player for a virtual wagering game in the SVE and, based on a winning result for the virtual wagering game, provides a game award to the first player.

Abstract: A vehicle system includes a user device configured to produce acoustic sounds at varying frequencies. The vehicle system also includes a vehicle microphone for collecting acoustic data from the user device. Additionally, the vehicle system includes a vehicle processor for storing vehicle data including the acoustic data and a server communicatively coupled to the vehicle processor. In some examples, the server is configured to determine if the acoustic data match one or more predetermined frequencies of sound.

Abstract: A computing device for determining a new credit card number that is a continuation match with an old credit card number of a credit card account that has changed numbers comprises a processing element programmed to: receive transactional data for a plurality of credit card numbers, determine a plurality of old credit card numbers and a plurality of new credit card numbers, determine a plurality of clusters of new credit card numbers, convert the transactional data for each old credit card number and the associated cluster of new credit card numbers into snapshots with an image-like data format, train a modified siamese network with instances of snapshots of an old credit card number, a first new credit card number, and a second new credit card number, and use the modified siamese network to determine one new credit card number that is an upgrade of one old credit card number.

Abstract: A system includes data processing hardware and memory hardware in communication with the data processing hardware, the memory hardware storing instructions that when executed on the data processing hardware cause the data processing hardware to perform operations including inputting cellular range data, barometric sensor data, GNSS data, and automotive inertial data into a Kalman filter and outputting from the Kalman filter an estimate of elevation distance of a vehicle based on the cellular range data, the barometric sensor data, the GNSS data, and the automotive inertial data.

Abstract: In certain embodiments, a method includes receiving, at a framework controller executing, a test execution request comprising test parameters and an expected test outcome, wherein the test execution request comprises a request for testing a microservice architecture implemented in a cloud infrastructure; providing, by the framework controller, the test execution request and the test parameters to a framework injector executing on the one or more processors; providing, by the framework controller, the expected test outcome to a framework monitor executing on the one or more processors; executing, by the framework injector, a test corresponding to the test execution request using a test injector of a plurality of test injectors implemented by the framework injector; monitoring, by the framework monitor, a response of the microservice architecture of the cloud infrastructure to the test; and providing, by the framework controller and from the framework monitor, a test result based on the response.

Abstract: An electric generation system for vehicular applications including a vehicle tire having a tread portion, a hub portion and a plurality of semi-rigid spokes extending radially from the hub portion to the tread portion, a plurality of piezoelectric devices affixed to at least one surface of each of the plurality of semi-rigid spokes such that a deformation of the tread portion of the vehicle tire results in a deformation of at least one of the plurality of spokes and at least one of the plurality of piezoelectric devices, and a charge accumulator for receiving an electric current generated in response to the deformation of the at least one of the plurality of spokes and for storing an electric charge accumulated in response to the electric current.

Abstract: An apparatus is described which includes two or more colour displays arranged to provide piece-wise continuous illumination of a volume, and one or more cameras arranged to image the volume. The apparatus is configured to control the colour displays and the cameras to illuminate the volume with each of two or more illumination conditions. The apparatus is also configured to obtain two or more sets of images, which include sufficient information for calculation of a reflectance map and a photometric normal map of an object or subject positioned within the volume. Each set of images is obtained during illumination of the volume with one or more corresponding illumination conditions. When viewed from the volume, the apparatus only provides direct illumination of the volume from angles within a zone of a hemisphere, which is less than a hemisphere.

Abstract: An exemplary method for detecting deepfake images and providing customized analysis comprises: receiving, from a user, a textual user inquiry regarding an image; inputting the textual inquiry and the image into a deepfake detection model, wherein the deepfake detection model comprises: an image encoder for generating a plurality of image embeddings based on the image; a text encoder for generating a plurality of textual embeddings based on the textual inquiry; one or more layers for generating a plurality of answer embeddings; and a language model for generating a textual analysis based on the plurality of answer embeddings; and outputting the textual analysis, wherein the textual analysis includes a classification result of whether the image is fake and further includes one or more visual features in the image and one or more attributes of the one or more visual features that contribute to the classification result.

Abstract: The processor-based system includes a throttle request accumulate circuit to receive throttle requests, determine a highest or most aggressive throttle value among the throttle requests, and generate a throttle control signal configured to throttle activity in the plurality of processing circuits. Throttle requests have throttle values corresponding to a reduction in activity in at least a portion of the plurality of processing circuits and may correspond to a particular number of cycles of reduced activity in a window of cycles. In addition to reducing response time to local events or conditions compared to waiting for a hierarchical response, the throttle request accumulate circuit accumulates throttle requests from all circuits that adjust or throttle activity in the plurality of processing circuits, and ensures that the net effective throttle controlling activity in the processing circuits at any given time is based on the highest throttle value of those accumulated throttle requests.

Abstract: Methods and systems for managing data access based threats are disclosed. To manage the data access based threats, a data processing system may include a network interface controller (NIC). The network interface controller may present emulated storages that may be used for data storage. The emulated storage devices may utilize storage resources of storage devices. The NIC may actively screen for access patterns in use of the emulated storage devices that indicate compute complexes may be compromised. When doing so, the processing may be done locally on the NIC.

Abstract: A method for enhancing image quality may be provided. The method may include receiving a plurality of input frames and metadata, and determining one or more feature scores for a received input frame from the plurality of input frames. The method may further include determining a parametric score for the received input frame based on an analysis of the one or more feature scores of the received input frame and the metadata. The method may include identifying one or more artifacts for correction in the received input frame based on the parametric score, and determining a strength of correction required for at least one identified artifact in the received input frame based on the parametric score, then applying the determined strength of correction to the received input frame. The method may further include performing multi-frame blending for a plurality of received input frames with applied determined strength of correction.

Abstract: A system and method are disclosed for validating an appeasement request. The method includes determining an appeasement request pattern for a customer, determining an appeasement application pattern for a customer service representatives assigned to the customer, mining data associated with the appeasement request, mining other data associated with the customer or the customer service representatives, and validating an appeasement request based on the mined data and the mined other data. The method further includes determining that an association between the customer service representatives and a group of customers indicates one or more fraudulent appeasement requests, where the appeasement application pattern is based on a history of appeasements offered to one or more customers and where validating the appeasement request further comprises limiting an appeasement offer associated with the appeasement request.

Abstract: A language detection system includes data processing hardware and memory hardware in communication with the data processing hardware. The memory hardware stores instructions that when executed on the data processing hardware cause the data processing hardware to perform operations. The operations include issuing a vehicle prompt and determining responsiveness to the issued vehicle prompt, the responsiveness including an execution response and anon-responsive response. A language monitoring module is activated in response to the non-responsive response of the determined responsiveness and a spoken language is monitored within an interior cabin of a vehicle. A driver state is estimated based on the determined language, and a translation function is executed using a translation module in response to the estimated driver state.

Abstract: Described herein are systems, methods, and software to implement ransomware detection by varying chunk size in files. In one example, a computing device extracts a first set of chunks from a file, the first set of chunks each representing a first sized portion of the file. The computing device further first features in association with the first set of chunks, the first features comprising a measure of randomness associated with the first set of chunks. The computing device also inputs the first features to a machine learning model that outputs a determination of whether the file has been attacked and determines whether to reduce the first sized portion based on the determination.

Abstract: The subject technology provides receiving a neural network (NN) model to be executed on a target platform, the NN model including multiple layers that include operations and some of the operations being executable on multiple processors of the target platform. The subject technology further sorts the operations from the multiple layers in a particular order based at least in part on grouping the operations that are executable by a particular processor of the multiple processors. The subject technology determines, based at least in part on a cost of transferring the operations between the multiple processors, an assignment of one of the multiple processors for each of the sorted operations of each of the layers in a manner that minimizes a total cost of executing the operations. Further, for each layer of the NN model, the subject technology includes an annotation to indicate the processor assigned for each of the operations.

Abstract: Described herein are systems, methods, and software to implement cloud ransomware detection. In one example, a computing device receives features of a file from a second computing device remote from the cloud environment, the features comprising at least a measure of randomness for the file and an identifier for a user associated with a modification to the file. The computing device further user information associated with a user of the modified the file and applies a machine learning model to determine whether the file was attacked based on the features and the user information. The computing device also communicates a notification to the second computing device indicating whether the file was attacked.

Abstract: Provided herein are methods of removing carbon dioxide from an aqueous stream or gaseous stream by: contacting the gaseous stream comprising carbon dioxide, when present, with an aqueous solution comprising ions capable of forming an insoluble carbonate salt; contacting the aqueous solution comprising carbon dioxide with an electroactive mesh that induces its alkalinization thereby forcing the precipitation of a carbonate solid from the solution and thereby the removal of dissolved inorganic carbon by electrolysis; and removing the precipitated carbonate solids from the solution, or the surface of the mesh where they may deposit. Also provided herein are flow-through electrolytic reactors comprising an intake device in fluid connection with a rotating cylinder comprising an electroactive mesh, and a scraping device and/or liquid-spray based device for separating a solid from the mesh surface.

Abstract: Described herein are systems, methods, and software to implement multi-level ransomware detection via file processing. In one example, a computing device conducts a first level of ransomware detection on a file, wherein the first level of ransomware detection comprises identifying features of the file that include a measure of randomness in the file. The computing device further inputs the features to a machine learning model that outputs a determination of whether the file has been attacked. The computing device further determines whether to conduct a second level of ransomware detection based on the determination.