Abstract: Systems and methods for automatically answering questions based on a biomedical document are presented herein. The system may include a question-answering machine learning model. The question-answering machine learning model may be enhanced by segmenting the document. The system may include a topic clustering machine learning model for segmenting the document. Through segmentation, the resulting system may provide a lower error rate at a lower computational cost when compared to traditional question-answering machine learning models.

Abstract: Some embodiments help manage cybersecurity insider risk. An authorized user influence pillar value is based on an influence signal representing the user's actual or potential influence in a computing environment. An authorized user access pillar value is based on an access signal representing the user's actual or potential access to resources. An impact risk value is calculated as a weighted combination of the pillar values. In response, an embodiment automatically adjusts a cybersecurity characteristic, such as a security risk score, security group membership, threat detection mechanism, or alert threshold. In some cases, impact risk is also based on a cumulative potential exfiltration anomaly access signal. In some cases, impact risk is based on one or more values which represent user public visibility, user social network influence, brand damage risk, resource mission criticality, access request response speed or success rate, or a known cybersecurity attack.

Abstract: Systems and methods for decoding are described. A decoder system is configured to retrieve, from the grain array stored within the on-chip memory, noise pixel data associated with at least one reconstructed video pixel. The decoder system is configured to apply noise data to the at least one reconstructed video pixel to generate at least one output video pixel. The noise data is determined based on the noise pixel data.

Abstract: Systems and techniques are provided for processing video data. For example, an apparatus may obtain one or more first sets of collocated motion vector data and one or more second sets of collocated motion vector data, associated with a respective first and second block of video data included in a current frame of video data. The apparatus may project the one or more first sets of collocated motion vector data into a first projected motion field associated with a first buffer and project the one or more second sets of collocated motion vector data into the first projected motion field associated with the first buffer. Based on projecting the one or more first sets and one or more second sets of collocated motion vector data, the apparatus may decode the first block of video data based on the first projected motion field associated with the first buffer.

Abstract: Video decoding systems and techniques are described. A decoder reads first video data from a first block of a video frame. The decoder retrieves neighboring video data from a line buffer. The neighboring video data is from a neighboring block that neighbors the first block in the video frame. The decoder processes the first video data and the retrieved neighboring video data using a constrained directional enhancement filter (CDEF) to generate filtered first video data. The decoder upscales the filtered first video data using an upscaler to generate upscaled filtered first video data. The decoder upscales the retrieved neighboring video data using the upscaler to generate upscaled neighboring video data, for instance after generating the filtered first video data. The decoder processes the upscaled filtered first video data and the upscaled neighboring video data using a loop restoration (LR) filter to generate output video data.

Abstract: Video decoding systems and techniques are described. The decoder applies a deblocking (DB) filter to the plurality of sub-blocks of a block of video data to generate a DB-filtered plurality of sub-blocks. The decoder applies the DB filter to one or more lines (e.g., columns) of pixels in an additional sub-block of the block to generate a DB-filtered portion of the additional sub-block. The one or more lines of pixels in the additional sub-block are filtered without filtering an entirety of the additional sub-block using the DB filter. The additional sub-block is adjacent to at least one of the plurality of sub-blocks. The decoder applies a constrained directional enhancement filter (CDEF) to the DB-filtered plurality of sub-blocks and the DB-filtered portion of the additional sub-block to generate a CDEF-filtered plurality of sub-blocks.

Abstract: A computing system includes a processor and memory coupled to the processor and storing instructions that, when executed by the processor provide a user interface module. The user interface module is configured to generate a tracker definition user interface having a threat parameter selection user interface element configured to receive a selection of at least one threat parameter, the tracker definition user interface also having a threat value user interface element configured to receive input specifying a threat value to match for the specified at least one threat parameter. The processor is configured to save a tracker based on the selection of at least one threat parameter and the threat value, and wherein the processor is configured to access a threat data store and execute the tracker against the threat data store to provide a tracker result.

Abstract: In one embodiment, an illustrative method herein may comprise: sending, from a server instrumentation agent configured on a transaction server, instrumented server performance data regarding the transaction server and an associated correlation token to an application programming interface (API) monitoring agent; receiving, at the server instrumentation agent, a returned acknowledgment of the instrumented server performance data regarding the transaction server and the associated correlation token from the API monitoring agent, the acknowledgement also having corresponding API monitored performance data regarding an API of the transaction server; returning, from the server instrumentation agent, a synchronization acknowledgment to the API monitoring agent in response to the returned acknowledgment to indicate complete synchronization; and correlating, by the server instrumentation agent, the instrumented server performance data regarding the transaction server and the API monitored performance data regarding t

Abstract: Time-based partitioning of a data set is applied to capture updates to the data set in a copy of the data set. Items that have been updated in a data set with in a time period are identified. Partitions of the data set that include the updated items are created according to a partitioning scheme. The created partitions are grouped in a storage location for the time period in a file structure that stores a copy of the database. A latest version of the copy of the data set may be accessed according to latest partitions of the data set stored in the different locations of the file structure.

Abstract: A computing system includes a processor and memory coupled to the processor and storing instructions that, when executed by the processor provide a user interface module. The user interface module is configured to generate a tracker definition user interface having a threat parameter selection user interface element configured to receive a selection of at least one threat parameter, the tracker definition user interface also having a threat value user interface element configured to receive input specifying a threat value to match for the specified at least one threat parameter. The processor is configured to save a tracker based on the selection of at least one threat parameter and the threat value, and wherein the processor is configured to access a threat data store and execute the tracker against the threat data store to provide a tracker result.

Abstract: Malicious activity data is obtained, that is indicative of attempted attacks on a computing system. Clusters of targets are identified and it is determined whether the malicious activity preferentially targets one cluster of targets over other. Also, low prevalence attacks are identified and it is determined whether a low prevalence attack has a high concentration in one or more of the target clusters. If the malicious activity either preferentially targets a cluster, or a low prevalence attack has a high concentration in a cluster, then the attack is identified as a targeted attack, so that remediation steps can be taken.

Abstract: A computing system includes a processor and memory coupled to the processor and storing instructions that, when executed by the processor provide a user interface module. The user interface module is configured to generate a tracker definition user interface having a threat parameter selection user interface element configured to receive a selection of at least one threat parameter, the tracker definition user interface also having a threat value user interface element configured to receive input specifying a threat value to match for the specified at least one threat parameter. The processor is configured to save a tracker based on the selection of at least one threat parameter and the threat value, and wherein the processor is configured to access a threat data store and execute the tracker against the threat data store to provide a tracker result.

Abstract: A respiratory gas flow coupling includes a device connector having a female receptacle or male nipple with a side-oriented leak path. A patient accessory connector has a male nipple or female receptacle adapted to connect with the female receptacle or male nipple of the device connector. The patient accessory connector seals the side-oriented leak path of the female receptacle or male nipple of the device connector when the patient accessory connector is connected with the device connector. The side-oriented leak path is disposed at a position such that a shorter male nipple or female receptacle of an incompatible patient accessory connector which is shorter than the male nipple of the patient accessory connector does not seal the side-oriented leak path when the incompatible patient accessory connector with the shorter male nipple is connected with the device connector.

Abstract: Malicious activity data is obtained, that is indicative of attempted attacks on a computing system. Clusters of targets are identified and it is determined whether the malicious activity preferentially targets one cluster of targets over other. Also, low prevalence attacks are identified and it is determined whether a low prevalence attack has a high concentration in one or more of the target clusters. If the malicious activity either preferentially targets a cluster, or a low prevalence attack has a high concentration in a cluster, then the attack is identified as a targeted attack, so that remediation steps can be taken.

Abstract: Malicious activity data is obtained, that is indicative of attempted attacks on a computing system. Clusters of targets are identified and it is determined whether the malicious activity preferentially targets one cluster of targets over other. Also, low prevalence attacks are identified and it is determined whether a low prevalence attack has a high concentration in one or more of the target clusters. If the malicious activity either preferentially targets a cluster, or a low prevalence attack has a high concentration in a cluster, then the attack is identified as a targeted attack, so that remediation steps can be taken.

Abstract: Threat intelligence management is provided in a security and compliance environment. A threat explorer platform or module of a security and compliance service may detect, investigate, manage, and provide actionable insights for threats at an organizational level. Working with a data insights platform that collects different types of signals (metadata, documents, activities, etc.) and correlates in a multi-stage evaluation, the threat intelligence module may provide actionable visual information on potential threats, affected areas, and actionable insights derived from internal threat data and external information using contextual correlation of data within the data insight platform. User experience may be dynamically adjusted at multiple levels based on context and allow users to drill down arbitrarily deep.

Abstract: Certain aspects of the present disclosure provide techniques for scalably and efficiently converting linear image data into multi-dimensional image data for multimedia applications. In one example, a method for managing image data includes receiving a line of image data in a linear format via a system bus of width T, wherein the image data's native format is a tile format of H lines per tile; forming H subsets of image data from the line of image data in the linear format; writing the H subsets of image data to a memory comprising BN=H banks of BW=T/BN pixel width, wherein each subset of the H subsets is written to a different bank of the BN banks; and outputting the H subsets of image data in the tile format.

Abstract: Techniques are described for performing transformation on video data. A transform circuit may receive M sample values of the video data from a pre-transform buffer, and process the M sample values with N computation units of the transform circuit to generate intermediate values. Processing the M sample values to generate the intermediate values includes feeding back temporary values from output of one or more of the N computation units to input of one or more of the N computation units. The transform circuit may store a first set of the intermediate values in a transpose buffer, and store a second set of the intermediate values in the pre-transform buffer that are to be later retrieved for storage in the transpose buffer.