Abstract: A system and method for dynamically optimizing content delivery in a wireless communication network. The method comprises receiving, at a transceiver [208A], a request for delivery of a content from at least one user device [202]. A manifest module [208B] determines one or more first parameters for the at least one user device [202] and compares one or more parameters of the at least one user device [202] with one or more second parameters of the at least one cohort. The manifest module [208B] dynamically identifies (or generates) a virtual manifest associated with the at least one cohort (or the at least one user device [202]) based on the comparison. A segmenter module [208C] automatically extracts a stream of data associated with the virtual manifest. The transceiver [208A] delivers the content to the at least one user device [202] based on the extracted stream of data.

Abstract: Various embodiments disclosed herein provide for a caller identification (ID) method and system that can provide caller ID information to display on devices other than the wireless equipment device that is receiving the phone call. This can include televisions and other streaming devices associated with the user receiving the phone call. The mobile wireless network associated with the user's wireless user equipment can determine whether the user has an additional device on which caller ID is to be displayed, and then identify a media server associated with the additional device. Once identified, the mobile wireless network can provide the media server with the caller ID information so that it can be displayed on the television or other streaming device.

Abstract: An apparatus can comprise a memory array comprising a plurality of strings of memory cells each comprising: a first group of memory cells coupled to a first group of access lines and corresponding to a first erase block; and a second group of memory cells coupled to a second group of access lines and corresponding to a second erase block. A controller is configured to determine a cumulative amount of read disturb stress experienced by the first erase block by monitoring read disturb stress experienced by the first erase block due to: read operations performed on the first erase block; read operations performed on the second erase block; and program verify operations performed on the second erase block. The controller can perform an action on the first erase block responsive to the cumulative amount of read disturb stress experienced by the first erase block meeting a criteria.

Abstract: A computerized system and method for dynamically generating modified user interface is disclosed. The method comprises receiving a search request, providing a list of at least one product in response to the search request, receiving a selection of a first product from the user device, providing the first product to the user device for display on the user interface, determining signals of the first product and their weights, calculating a score for each of the second products based on signals of the first product, ranking the second products by the score, and in response to receiving a request to redisplay the list of product, providing, to the user device for display together with the list of product, at least one second product based on the ranking.

Abstract: An apparatus can comprise a memory array comprising a plurality of strings of memory cells. Each string of the plurality of strings can comprise: a first group of memory cells coupled to a first group of access lines and corresponding to a first erase block; and a second group of memory cells coupled to a second group of access lines and corresponding to a second erase block. A controller is coupled to the memory array and configured to: perform a programming operation on the first group of memory cells of the first erase block; monitor a quantity of programming and/or erase operations performed on the second group of memory cells subsequent to the programming of the first group of memory cells; and perform an action on the first erase block responsive to the quantity of programming and/or erase operations performed on the second group of memory cells meeting a criteria.

Abstract: The exemplary embodiments attempt to identify impending hypoglycemia and/or hyperglycemia and take measures to prevent the hypoglycemia or hyperglycemia. Exemplary embodiments may provide a drug delivery system for delivering insulin and glucagon as needed by a user of the drug delivery system. The drug delivery system may deploy a control system that controls the automated delivery of insulin and glucagon to a patient by the drug delivery system. The control system seeks among other goals to avoid the user experiencing hypoglycemia or hyperglycemia. The control system may employ a clinical decision support algorithm as is described below to control delivery of insulin and glucagon to reduce the risk of hypoglycemia or hyperglycemia and to provide alerts to the user when needed. The control system assesses whether the drug delivery system can respond enough to avoid hypoglycemia or hyperglycemia and generates alerts when manual action is needed to avoid hypoglycemia or hyperglycemia.

Abstract: The present invention provides for a system and a method for improved representation of classical data on quantum systems. Input classical data is received and a feature set is created from the classical data. A functional transformation is performed on the created feature set to reduce high dimensional data associated with the feature set and a low dimensional feature space dataset is generated. A feature space transformation is performed on the low-dimensional feature space dataset to obtain a new feature space dataset with enhanced feature representation of the low-dimensional feature space dataset in a multi-dimensional space. The new feature space dataset results in optimal mapping of the input classical data into a quantum format. The new feature space dataset is sampled and batches of the sampled dataset are selected. The sampled dataset is mapped into an optimized quantum format for loading the sampled dataset into quantum states.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate a digital document hierarchy comprising layers of parent-child element relationships from the visual elements. For example, for a layer of the layers, the disclosed systems determine, from the visual elements, candidate parent visual elements and child visual elements. In addition, for the layer of the layers, the disclosed systems generate, from the feature embeddings utilizing a neural network, element classifications for the candidate parent visual elements and parent-child element link probabilities for the candidate parent visual elements and the child visual elements. Moreover, for the layer, the disclosed systems select parent visual elements from the candidate parent visual elements based on the parent-child element link probabilities. Further, the disclosed systems utilize the digital document hierarchy to generate an interactive digital document from the digital document image.

Abstract: Embodiments described herein include software, firmware, and hardware logic that provides techniques to perform arithmetic on sparse data via a systolic processing unit. One embodiment provides for data aware sparsity via compressed bitstreams. One embodiment provides for block sparse dot product instructions. One embodiment provides for a depth-wise adapter for a systolic array.

Abstract: A drug delivery system including a memory storing programming code operable to enable delivery of insulin and a processor operable to execute the programming code. When executed, the programming code causes the processor to: calculate a first aggregate insulin-on-board amount for a user based on a plurality of individual insulin-on-board estimates made over a first period of time, determine that the first aggregate insulin-on-board amount is greater than a maximum depot formation threshold amount, determine a first residual amount of insulin remaining in the first aggregate insulin-on-board amount, increase a subsequent calculation of an individual insulin-on-board estimate based on the first residual amount of insulin, and utilize the subsequent calculation of the individual insulin-on-board estimate in a calculation of a second aggregate insulin-on-board amount over a second period of time.

Abstract: An audio track capturing a conversation between an interviewer and an interviewee during an interview may be segmented, by executing a speaker identification engine, into a plurality of audio segments each being tagged as associated with one of the interviewer or the interviewee. A speech recognition and natural language processing (NLP) engine may be applied to the audio track to determine attributes associated with audio segments being tagged to the interviewer. The attributes may comprise timing parameters associated with the audio segment and a text content of the audio segment. A rule-based analysis engine may be executed, based on the attributes associated with audio segments being tagged to the interviewer, to determine whether the interviewer conducts the interview in compliance with predetermined rules. Responsive to determining that the interviewer does not conduct the interview in compliance with the predetermined rules, generating a notice regarding the non-compliance of the interview.

Abstract: Technology is described for providing and using a thermo-sensitive payment card. An example payment card comprises a card substrate and a personalization layer overlaying the card substrate. The personalization layer includes a first region and a second region surrounding the first region. The first region includes an account number associated with an account of a user, and the account of the user is maintained by a payment service system that issues the payment card. At least one of the first region or the second region comprises a thermochromic ink such that application of heat to the first region or the second region having the thermochromic ink causes a change in color of the personalization layer so as to reveal the account number.

Abstract: Invasive glucose sensors and noninvasive glucose sensors may be used in conjunction to improve glucose management for a user. The rate of change (ROC) of glucose levels from a noninvasive glucose sensor may be used rather than or in conjunction with a glucose level of the user from a CGM. A basal insulin delivery rate to the user may be adjusted responsive to the ROC glucose level data from the noninvasive sensor. The glucose level ROC from a noninvasive glucose sensor may be used to predict future glucose level ROCs of the user between operational cycles of an insulin delivery device and/or to identify possible hypoglycemic or hyperglycemic events. These predicted future glucose level ROCs may be used in a cost function of the control system of the insulin delivery device to select basal insulin delivery doses. Glucose level readings may be used to calibrate a noninvasive glucose level sensor.

Abstract: A computer-implemented method according to one embodiment includes accessing a copy of a ledger that includes information associated with a plurality of potential recovery sites of a multi-site environment. The information of the copy of the ledger is stored on a blockchain by the potential recovery sites. A current threat to a production site of the multi-site environment is identified. The method further includes, analyzing, based on the current threat, the copy of the ledger to determine one of the potential recovery sites to use as a failover for the production site, and in response to a determination that the current threat has caused a disaster event on the production site, causing the production site to failover to the determined recovery site.

Abstract: Methods, apparatuses, and computer-readable medium are provided for rate matching. An example method may include receiving a rate matching pattern configuration indicating at least a first control resource set (CORESET) in a first bandwidth part (BWP) and a second CORESET in a second BWP. The example method may also include receiving a physical downlink shared channel (PDSCH) in the first BWP. The example method may include processing the PDSCH transmission based on the rate matching pattern configuration, where the processing may include rate matching around resources of the first CORESET and first associated search space (SS) sets and the second CORESET and second associated SS sets.

Abstract: Systems and methods for prioritizing multicast streams in an Internet Group Management Protocol (IGMP) network are provided. According to one implementation, a process, which may be executed by a router, is configured, in response to a reboot scenario, to query a plurality of hosts regarding membership in a plurality of IGMP multicast streams according to predefined priority levels. The process is further configured to receive membership reports from the plurality of hosts. Also, the process is configured to request a server to restart the IGMP multicast streams according to the predefined priority levels.

Abstract: A method is disclosed here. The method includes receiving an input from an aircraft, determining a towing status of the aircraft based on the input, and sending a message to a transmitter to transmit the towing status of the aircraft. Also disclosed herein is a system including an aircraft including a nose landing gear, a first controller, and a transmitter, wherein the first controller is configured to determine a towing status of the aircraft based on a number of sensor signals received from the aircraft, and the transmitter is configured to transmit the towing status and a tow truck configured to tow the aircraft, the tow truck including a second controller and a receiver, wherein the receiver is configured to receive the towing status from the transmitter, and the second controller is configured to provide an indication of the towing status of the aircraft.

Abstract: Systems, methods, and computer-readable media are disclosed for validating a machine learning model. In one aspect, a machine learning model validation system can receive a test machine learning model, analyze an output of the test machine learning model, determine a degree of similarity between the test machine learning model and one or more machine learning models stored in a database based on the output of the test machine learning model, and determining whether the test machine learning model complies with a set of validation rules based on the degree of the similarity with respect to one or more thresholds.

Abstract: Apparatus, methods, and computer-readable media for facilitating power savings while monitoring for paging messages and wakeup signals are disclosed herein. An example method for wireless communication at a UE includes receiving an indication of an active BWP associated with an ON duration of a DRX cycle. The example method also includes monitoring a first bandwidth for a WUS at a WUS occasion of the DRX cycle, the first bandwidth corresponding to a subset of the active BWP. The example method also includes transitioning to an awake state for the ON duration when the WUS is received at the WUS occasion.

Abstract: An apparatus for activating a physical card in a virtual environment comprises a processor associated with a server. The processor is configured to receive a request to issue a physical card to a first user and to generate a first non-fungible token (NFT) for storage in the physical card, wherein the first NFT is then displayed as a digital card in a virtual environment. The processor is further configured to receive the digital card in an interaction and to generate a second NFT. The processor is further configured to combine the first NFT and the second NFT to generate an activation NFT that allows the physical card to access a profile corresponding to the first user during an interaction. The processor is further configured to transmit the activation NFT and an instruction to the first user device to store the activation NFT in the physical card.