Abstract: A system for aggregating alarms for a network includes a non-transitory computer readable medium configured to store instructions thereon. The system further includes a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for receiving information for configuring alarm data. The processor is configured to execute the instructions for aggregating alarm data based on the information for configuring alarm data. The processor is configured to execute the instructions for generating a visual representation of the aggregated alarm data. The processor is configured to execute the instructions for instructing a display to display the visual representation on a graphical user interface (GUI). The processor is configured to execute the instructions for receiving filter criteria through the GUI. The processor is configured to execute the instructions for updating the display on the GUI based on the filter criteria.

Abstract: An apparatus comprises processing circuitry to issue store operations to store data to a data store and load operations to load data from the data store and a store buffer comprising entries to store entry information corresponding to store operations in advance of the store operations completing. Store buffer lookup circuitry is provided to lookup, in response to a load operation, whether the store buffer contains a corresponding entry corresponding to an older store operation for which target addresses of the load operation and the older store operation satisfy an address comparison condition. The store buffer lookup circuitry is configured to perform store-to-load forwarding in response to the load operation when the corresponding entry is a first type of store buffer entry satisfying a forwarding condition, and delay processing of the load operation when the corresponding entry is a second type of store buffer entry satisfying the forwarding condition.

Abstract: An electrochemical cell includes an anode, a cathode and an electrolyte in contact with the anode and the cathode, wherein the electrolyte and at least one of the anode or the cathode includes a compound which compound includes either an amino group or a carboxyl group or both (preferably an amino acid, a peptide, or a combination thereof). Alternatively, if the anode is formed from a combination of a metal and a metal oxide, then the electrolyte and/or at least one of the anode or the cathode can include said compound (i.e. it does not have to be present on both). Use of these cells significantly reduces the overpotential of the electrochemical splitting of water, thereby enabling the production of hydrogen in a much more energy efficient manner.

Abstract: A flow rate control method for solicited data communications includes receiving, at a first node of a communications network, a request-to-send (RTS) signal from a second node of the communications network, the RTS signal indicating a size of a solicited data transmission of the second node, determining, by the first node, whether a rate-limiting counter is above zero, wherein the rate-limiting counter is programmed to increase at a programmed rate and in response to the rate-limiting counter being above zero, scheduling, by the first node, a clear-to-send (CTS) signal to be sent from the first node to the second node over the communications network, and subtracting, by the first node, a value corresponding to the size of the solicited data transmission of the second node from the rate-limiting counter.

Abstract: Pre-trained large language models may be trained on a large data set which may not necessarily align with specific tasks, business goals, and requirements. Pre-trained large language models can solve generic semantic relationship or question-answering type problems but may not be suited for content item retrieval or recommendation of content items that are semantically relevant to a query. It is possible to build a machine learning model while using transfer learning to learn from pre-trained large language models. Training data can significantly impact the performance of machine learning models, especially machine learning models developed using transfer learning. The training data can impact a model's performance, generalization, fairness, and adaptation to specific domains. To address some of these concerns, a popularity bucketing strategy can be implemented to debias training data. Optionally, an ensemble of models can be used to generate diverse training data.

Abstract: Compositions of bacterial tyrosyl-tRNA synthetase mutants that enable site-specific incorporation of numerous unnatural amino acids into proteins expressed in eukaryotic cells or in engineered ATM E. coli and methods of use are described. Compositions of novel unnatural amino acids that can be incorporated using these mutant bacterial tyrosyl-tRNA synthetase are also described.

Abstract: To reduce power consumption and circuitry requirements, the following presents an “unmatched” data output architecture, in which the clock path does not mimic the data path. To provide proper data transfers in the data output path, the clock signal is tuned at points of the clock path, such as for data transfers from internal data buses to FIFOs and from the FIFO though the multiplexers to the input/output pads. An amount of timing offset is introduced in the generation of internal transfer clocks, which can be determined as part of a valid data window training process that can be performed by the controller, such as part of the power up process.

Abstract: An example electronic computing device can be programmed to: receive a status and a date for each of a plurality of loan components associated with a loan transaction, the loan transaction being purchase or refinance of a loan for a property; use an operating service level associated with each of the plurality of loan components to calculate a projected completion date for each of the plurality of loan components; and project a closing date based upon a longest of the projected completion date. The electronic computing device can calculate the operating service levels using artificial intelligence.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for demographic predictions for content items. An example embodiment operates by assigning weights representing demographics to a first plurality of nodes of a predictive model and assigning predictive values representing predicted demographics to a second plurality of nodes of the model. Pairwise distances between the predictive values for the nodes of the second plurality of nodes and the weighted values of the first plurality of nodes may be calculated and the shortest calculated pairwise distances may be used to assign demographics for content items corresponding to nodes of the first plurality of nodes to content items corresponding nodes of the second plurality of nodes. When content is requested, a content item for which the same demographic has been assigned may be recommended to the requestor.

Abstract: Methods, systems, and media for screening users of a virtual environment are provided.

Abstract: Methods, apparatus, and processor-readable storage media for generating test cases for software testing using machine learning techniques are provided herein. An example computer-implemented method includes obtaining user input data associated with at least one software application; identifying one or more predetermined types of information, including one or more of topic-related information and entity-related information, from at least a portion of the user input data using at least a first set of one or more machine learning techniques; generating one or more test cases for testing at least a portion of the at least one software application by processing at least a portion of the identified information using at least a second set of one or more machine learning techniques; and performing one or more automated actions based at least in part on at least one of the one or more generated test cases.

Abstract: There is disclosed a computer-implemented method of assigning reputations to objects, including: for respective samples in a dataset, extracting n features from a sample into a feature vector, where n is an integer greater than 1; assigning the sample a globally unique or pseudo-unique identifier (GUID); according to a clustering algorithm, mapping the feature vector into an n-dimensional space and computing distances between the sample and other samples in the n-dimensional space; assigning groups of objects to clusters according to their distances in the n-dimensional space; correlating the clusters to cluster tags based on the GUIDs of the samples, wherein the cluster tags are stored in a persistent cluster tag storage; and assigning the sample a reputation based on reputations of other samples in a cluster that the sample clustered with.

Abstract: A multiplexer includes an input, an output, and a main switch configured to pass a signal from the input to the output. The multiplexer includes two bootstrap circuits that collectively maintain a constant voltage between terminals of the main switch during alternating phases.

Abstract: A host device includes system memory that includes a logical-to-physical (L2P) cache and a second cache. The host device also includes a host controller interface (HCI) configured to be coupled to a flash memory device. The HCI is configured to determine that a particular region of a L2P address mapping table is to be removed from the L2P cache. The L2P address mapping table is configured to include mappings between logical memory addresses and physical memory addresses of the flash memory device. The HCI is also configured to identify a particular sub-region of the particular region having an access metric that satisfies a retention criterion. The HCI is further configured to store the particular sub-region into the second cache. The HCI is also configured to remove the particular region from the L2P cache.

Abstract: Embodiments include methods performed by an Internet protocol (IP) multimedia service (IMS) client in a user equipment for managing a change in connection to a network during an IMS session with a network Various embodiments may include determining whether a second network address for a Proxy Call Session Control Function (PCSCF) is available in response to receiving an indication that a first network address to the PCSCF is no longer available, and attempting to perform an initial registration with the second network address to the PCSCF in response to determining that the second network address is available. Some embodiments may include creating a second network address for the PCSCF, querying the network regarding validity of the second network address, and maintaining the IMS session with the network while requesting a new connection to the network using the second network address to the PCSCF when the second network address is valid.

Abstract: Training data can significantly impact the performance of machine learning models. Its impact may be more significant in transfer learning. Different data sources can be used to generate training data used in transfer learning. The training data originating from user interaction logs may be subject to presentation bias. The training data originating from model generated labeled data may have false positives. Poor quality training data may cause the machine learning model to perform poorly. To address some of these concerns, a checker having one or more models can check for false positives and for labeled data entries that may have been subject to presentation bias. Such entries may be removed or modified. In some cases, the checker can generate a test that can be used to test the machine learning model and penalize the machine learning model if the model generates an incorrect prediction.

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for organization of digital media in which a digital media gallery is organized based on underlying events or occasions by leveraging content tags associated with media. Content tags and their corresponding confidence scores for a set of media are compared with correlation scores of content tags with certain event types. Upon receipt of a set of media, candidate event types may be determined based on content tags associated with the set of media and relevant tags for different event types. The candidate event types are scored based on the confidence scores and the correlations scores for each candidate event type. The highest scoring candidate event type may be presented to the user as the event type for the set of media.

Abstract: A method includes determining one or more active slots and inactive slots in an ultra-wide band (UWB) ranging round. The method also includes determining multiple UWB silent periods in the ranging round based on an arrangement of the inactive slots. The method also includes determining a sleep-wake-up schedule that aligns with at least one selected silent period of the multiple UWB silent periods in the ranging round, the sleep-wake-up schedule to be used for Wi-Fi communication. The method also includes waking up a Wi-Fi station (STA) for the Wi-Fi communication during the at least one selected silent period, then going back to sleep according to the sleep-wake-up schedule.

Abstract: Described is a system (and method) that maintains deduplication efficiency when storing data within a clustered data storage environment that implements a global namespace. To provide such a capability, the system may obtain granular data source identifying information from a client system that provides data to be backed-up by a backup component. The data source identifying information may take the form of a placement tag that is associated with the received data. The backup component may then provide such placement tags when providing the backup data to the clustered storage system. The placement tags may then be used to intelligently distribute backup files to particular storage nodes of the clustered storage system to improve deduplication efficiency.

Abstract: A transmitting (Tx) access point (AP) multi-link device (MLD) may be configured to designate a parent ML element and at least one child ML element in the network management frame, e.g., the beacon frame or probe response frame, and at least one non-AP MLD may be configured to receive the network management frame and apply the parent ML element to the child ML element.