Abstract: Methods, systems, and devices for imprint recovery management for memory systems are described. In some cases, memory cells may become imprinted, which may refer to conditions where a cell becomes predisposed toward storing one logic state over another, resistant to being written to a different logic state, or both. Imprinted memory cells may be recovered using a recovery or repair process that may be initiated according to various conditions, detections, or inferences. In some examples, a system may be configured to perform imprint recovery operations that are scaled or selected according to a characterized severity of imprint, an operational mode, environmental conditions, and other factors. Imprint management techniques may increase the robustness, accuracy, or efficiency with which a memory system, or components thereof, can operate in the presence of conditions associated with memory cell imprinting.

Abstract: Sulfur species may be processed using an ionic liquid, a deep eutectic solvent, or a combination of both. An example of a method of such processing may include: supplying a first reaction medium including an iodine species and a first catalyst, wherein the first catalyst includes a first deep eutectic solvent, a first ionic liquid, or a first mixture of both; contacting the reaction medium with a first sulfur species, wherein the first sulfur species includes hydrogen sulfide, a sulfur-containing hydrocarbon, or any combination thereof; and reacting the first sulfur species with the reaction medium to produce a second sulfur species, hydrogen iodide, or a combination thereof.

Abstract: A system and method for audio processing using artificial intelligence during a voice interaction is configured to improve early identification of disease and case management of a diagnosed member in a healthcare system. Audio data is generated from a voice call between customer service representative (CSR) of the healthcare system and then processed by one or more of a speech-to-text recognition model, a topic detection model, a speaker recognition model, a tone model, an intent identifier, and a sentiment identifier. Then the output of the audio processing is used to detect a condition and automatically perform an action.

Abstract: A first forwarding VM may execute in a first availability zone and have a first IP address. Similarly, a second forwarding VM may execute in a second availability zone and have a second IP address. The first and second IP addresses may be recorded with a cloud DNS web service of a cloud provider such that both receive requests from applications directed to a particular DNS name acting as a single endpoint. A service cluster may include a master VM node and a standby VM node. An IPtable in each forwarding VM may forward a request having a port value to a cluster port value associated with the master VM node. Upon a failure of the master VM node, the current standby VM node may be promoted to execute in master mode and the IPtables may be updated to now forward requests having the port value to a cluster port value associated with the newly promoted master VM node (which was previously the standby VM node).

Abstract: In one aspect, a drug delivery device is provided herein including: a monolithic body having a plurality of fluid ducts and at least one outlet duct formed therein; a plurality of drug cartridges attached to the body, the drug cartridges each including a reservoir for accommodating at least one drug wherein, the plurality of fluid ducts is arranged to convey the drugs from the drug cartridges to the at least one outlet duct; and, a needle support spaced from the body, the needle support including a needle configured for insertion into a patient for drug delivery, the needle support including adhesive for releasable securement to a patient, wherein, the needle support is connected to the body by a flexible tether through which passes at least one fluid passageway formed to convey drug from the at least one outlet duct to the needle.

Abstract: A method for controlling a dual fuel engine system includes determining a friction power loss amount of an internal combustion engine of the dual fuel engine system, where the friction power loss amount is based on an engine speed of the internal combustion engine and a friction torque estimate. The method also includes determining an accessory power loss amount of a power of the internal combustion engine, where the accessory power loss amount is based on the engine speed and an accessory torque estimate. The method further includes estimating a net engine power amount based on the accessory power loss amount and a brake power amount of the internal combustion engine, estimating an indicated diesel power, and estimating, based on the estimated net engine power, a first indicated engine power and a first gas power.

Abstract: Resources of a deduplicated storage appliance are monitored to generate a consumption matrix indicating resource utilization. A threshold map associated with a subsystem is accessed. The subsystem is responsible for an operation involving files stored in the appliance. The threshold map specifies resources required by the subsystem for the operation and thresholds below which multi-streaming for the operation is allowed. An assessment is made as to whether the operation should be handled by multi-streaming. The assessment includes determining whether the resources are underutilized or overutilized based on the consumption matrix and the threshold map. When the resources are overutilized, multi-streaming is not triggered. When the resources are underutilized, multi-streaming is triggered. Periodic reassessments are made to determine whether the operation should be handled by multi-streaming.

Abstract: Semantic analysis to resolve ambiguous user input data with respect to a request for data includes identifying tokens based on the text string, identifying a tables in a database, wherein a token indicates a column from a table and a token indicates a column from another table, identifying candidate join paths for joining tables, obtaining respective candidate results using the candidate join paths, outputting combined candidate results including values from the respective candidate results, obtaining second user input data indicating a selected value, identifying the request for data as unambiguous and identifying a selected join path based on the selected value, and, in response to identifying the request for data as unambiguous, outputting data responsive to the request for data using the selected join path.

Abstract: A computer-implemented bidding method, computer equipment and a storage medium are provided. The computer-implemented bidding method includes: training a CatBoost regression model through a historical bidding data set, where the historical bidding data set includes bidding configuration parameters as an input of the model and a difference between a first quote and a final quote as an output of the model; and inputting current basic bidding parameters into the trained CatBoost regression model, and outputting values of optimized bidding configuration parameters to configure bidding rules for bidding participants. The computer-implemented bidding method can help a purchaser to purchase a required product at a relatively low price, thereby saving the purchase cost.

Abstract: Disclosed is a method that includes a media presentation device (i) generating query fingerprint data representing video frames of a channel being rendered by the media presentation device, and transmitting the generated query fingerprint data from the device over a network to a server, (ii) responsive to transmitting the query fingerprint data to the server, receiving, from the server, channel-icon fingerprint data representing channel icons of multiple channels selected based at least on the server having detected that the query fingerprint data representing the video frames of the channel being rendered by the media presentation device matches the reference fingerprint data representing the frames of the multiple channels of video content, and (iii) responsive to receiving the channel-icon fingerprint data from the server, performing channel-icon fingerprint matching to determine which channel in the multiple channels is the channel being rendered by the media presentation device.

Abstract: Systems, methods, and apparatuses can detect whether an impairment is present within a service provider network. The impairment can cause a service provided by the service provider network to not perform as expected. These systems, methods, and apparatuses can develop multiple network records to record the performance of the service provider network at various instances in time. These systems, methods, and apparatuses can compare these network records among each other to detect for the presence of the impairment within the service provider network. These systems, methods, and apparatuses can thereafter diagnose and/or remedy the impairment when present within the service provider network.

Abstract: An apparatus and method for providing high throughput memory responses are provided. The apparatus includes a memory device including a plurality of memory arrays, a memory controller configured to control the memory device, the memory controller having a read queue, a write queue, and an address match circuit, and a data output circuit. The memory controller receives a read request, searches the write queue for a write address that matches a read address of the read request, and sends data associated with the write address from the write queue to the data output circuit without accessing the memory device when the write address matches the read address, the write address that matches the read address being a target address. The data output circuit outputs the data associated with the target address to an external device.

Abstract: Authentication based secure federated learning can be beneficial when updates to an initial artificial neural network (ANN) model generated by edge devices are to be aggregated into a federated ANN model. The updates can be generated by the edge devices after training the initial ANN locally. The edge devices can encrypt the updates using edge device-specific identifiers and transmit the encrypted updates to a server. The server can verify the authenticity of the updates, decrypt the updates, and aggregate the updates into the federated ANN model. The aggregation can be performed according to a secure multiparty computation protocol.

Abstract: A technique for image processing, comprising: receiving input image data, wherein the image data is companded into a first bit depth, wherein the image data includes incomplete color values for pixels of the image data, and wherein the image data is associated with a first color space, interpolating the image data to generate color values for the incomplete color values for pixels of the image data, expanding the image data from the first bit depth to a second bit depth, wherein the color values of the expanded image data have a linear dynamic range, and wherein the second bit depth is higher than the first bit depth, converting the color values for pixels of the expanded image data from the first color space to a second color space, and compressing the color values for pixels of the image data to a third bit depth, the third bit depth lower than the second bit depth, and wherein the compressed color values have a nonlinear dynamic range.

Abstract: Local automatic white balance (AWB) of wide dynamic range (WDR) images is provided. Methods and systems include collecting, by an image signal processor (ISP), statistics for local AWB from at least one wide dynamic range (WDR) image received by the ISP; generating, by a processor, based on the statistics, local gain lookup tables (LUTs), one for each color channel represented in the WDR image(s), each local gain LUT providing a correlation between gain and intensity; and storing the local gain LUTs. Further processing includes, for each of multiple pixels of a WDR image to be output calculating an intensity value, accessing the local gain LUT for the color channel corresponding to that pixel using the calculated intensity value to identify a corresponding local gain value, and applying the local gain value to that pixel.

Abstract: Example embodiments relate to enhanced depth of focus cameras using variable apertures and pixel binning. An example embodiment includes a device. The device includes an image sensor. The image sensor includes an array of light-sensitive pixels and a readout circuit. The device also includes a variable aperture. Additionally, the device includes a controller that is configured to cause: the variable aperture to adjust to a first aperture size when a high-light condition is present, the variable aperture to adjust to a second aperture size when a low-light condition is present, the readout circuit to perform a first level of pixel binning when the high-light condition is present, and the readout circuit to perform a second level of pixel binning when the low-light condition is present. The second aperture size is larger than the first aperture size. The second level of pixel binning is greater than the first level of pixel binning.

Abstract: A method is disclosed. The method includes receiving, by a user device, an encrypted message from a server computer. The encrypted message is a message encrypted with a master secret key or a key derived from the master secret key. The user device signs the encrypted message with a secure element private key. The user device, using a whitebox, cryptographically recovers a secure element public key from a certified key using a server computer public key. The certified key is certified by the server computer and based on at least the secure element public key. The user device, using the whitebox, cryptographically recovers the encrypted message from the signed encrypted message using the secure element public key. The user device, using the whitebox, decrypts the encrypted message using the master secret key or the key derived from the master secret key in the whitebox to obtain the message.

Abstract: The present disclosure includes apparatuses, methods, and systems for displaying output data from a driver attention model on a display. In an example, an apparatus can include a sensor, an augmented reality (AR) windshield, a memory, and a processor coupled to the memory, the sensor, and the AR windshield, wherein the processor is configured to receive an initial driver attention model, train the initial driver attention model to create a trained driver attention model, transmit the trained driver attention model, receive a global driver attention model based in part on the trained driver attention model, receive sensor data based on operation of the apparatus, run the global driver attention model on the sensor data to generate output data, and cause the output data to be displayed on the AR windshield.

Abstract: Various embodiments of the present invention provide methods, apparatuses, systems, computing devices, and/or the like that are configured to accurately and concisely generate one or more action item logs of one or more document data objects. For example, certain embodiments of the present invention provide methods, apparatuses, systems, computing devices, and/or the like that are configured to generate an action item log of a document data object comprising one or more semantically complete or incomplete units of text data, by generating content segmentation units, determining action item presence predictions, generating action item sets from each content segmentation unit within a candidate action item subset, aggregating the action item sets to create an action item log, and storing the action item log.

Abstract: Aspects of the disclosure relate to dynamic model configuration and execution. A computing platform may receive first model data comprising first model execution configuration data and first model output configuration data. The computing platform may generate a first model based on the first model execution configuration data. The computing platform may distribute, to a plurality of computing platforms, the first model, the first model execution configuration data, and the first model output configuration data. The computing platform may receive a second request to execute one or more models from a third computing platform. The computing platform may receive, from the third computing platform, first model execution data. The computing platform may execute the first model based on the first model execution data and the first model execution configuration data to generate a first model output score.