Abstract: Certain embodiments involve a template-based redesign of documents based on the contents of documents. For instance, a computing system selects a template for modifying an input document. To do so, the computing system uses a generative adversarial network to generate an interpolated layout image from an input layout image, which represents the input document, and a template layout image, which represents the selected template. The computing system matches the input element to an interpolated element from the interpolated layout image. The computing system generates an output document by, for example, modifying a layout of the input document to match the interpolated layout image, such as by fitting the input element into a shape of the interpolated element.

Abstract: Methods and systems are described for maintaining hygienic conditions in automatic teller machines by detecting whether or not a user is not in compliance with a hygienic standard. If a user is not in compliance, then the automatic teller machine may execute a hygienic action to cleanse the automatic teller machine. For example, the hygienic action may comprise automatically cleansing the automatic teller machine, disabling the automatic teller machine from service, transmitting a sanitation service request to an automatic teller machine provide, and/or initiating an alternative control scheme (e.g., voice controls, gesture-based controls, etc.) for the automatic teller machine.

Abstract: A power supply architecture combines the benefits of a traditional single stage power delivery, when there are no additional power losses in the integrated VR with low VID and low CPU losses of FIVR (fully integrated voltage regulator) and D-LVR (digital linear voltage regulator). The D-LVR is not in series with the main power flow, but in parallel. By placing the digital-LVR in parallel to a primary VR (e.g., motherboard VR), the CPU VID is lowered and the processor core power consumption is lowered. The power supply architecture reduces the guard band for input power supply level, thereby reducing the overall power consumption because the motherboard VR specifications can be relaxed, saving cost and power. The power supply architecture drastically increases the CPU performance at a small extra cost for the silicon and low complexity of tuning.

Abstract: A system and method are disclosed for solving a supply chain planning problem modeled as a linear programming (LP) problem. Embodiments include receiving an LP problem representing a supply chain planning problem for a supply chain network comprising material buffers and resource buffers, partitioning the supply chain network at a complicating node into at least two supply chains sharing the complicating node, formulating a decomposed subproblem for each of the supply chains, calculating an effective dual based, at least in part, on a mathematical difference of at least two dual values calculated by solving the functional-based decomposed subproblems, and generating a globally-optimal LP solution to the LP problem using subgradient descent with the effective dual.

Abstract: Data-query execution with distributed machine-language query management in a low-latency database analysis system may include obtaining, at a distributed in-memory database, a data-query expressing a request for data in a defined structured query language associated with the distributed in-memory database, automatically generating a high-level language query representing at least a portion of the data-query, obtaining a machine language query corresponding to the high-level language query, executing the machine language query to obtain results data, and outputting the results data. Obtaining the machine language query may include determining whether the machine language query is cached, and in response to a determination that the machine language query is unavailable, sending a request for the machine language query to a distributed machine-language-query management instance.

Abstract: Apparatuses, systems, and techniques to collect performance data for one or more computations tasks executed by a plurality of nodes of a computational pipeline and enable optimization of distribution of task execution among the plurality of nodes.

Abstract: A system and method are disclosed for solving a supply chain planning problem modeled as a linear programming (LP) problem. Embodiments further include receiving a multi-period matrix formulation of a least a portion of an LP supply chain master planning problem representing a supply chain planning problem for a supply chain network and having a planning horizon divided into time buckets separated by time-bucket boundaries, mapping constraints of the LP supply chain master planning problem and variables of the LP supply chain master planning problem to the time buckets, calculating a quantity of cross-over variables for the constraints and the time buckets, selecting one or more decomposition boundaries from the time-bucket boundaries, and formulating at least two time-based decomposed subproblems by decomposing the LP supply chain master planning problem at the one or more decomposition boundaries.

Abstract: Systems and methods for improving the degree to which programs utilize processor resources during execution. A number of different versions of a program are received, as is a set of performance metrics describing desired performance of the program versions. The programs are then analyzed to determine the amount of processor resources used on a particular processor when the programs are executed to meet the performance metrics. At runtime, a program version that meets its performance metrics without exceeding the available processor resources is selected for execution by the processor. Program versions may be versions written to utilize processors in differing manner, such as by adjusting the numerical precision at which operations are performed or stored. If no program version meets its performance metrics without exceeding the available processor resources, the performance metrics may be reduced and program selection may be based on these reduced performance metrics.

Abstract: The present invention relates to crystalline abrocitinib characterized by X-ray powder diffraction (XRPD) spectrum having peak reflections at about 12.9, 14.7, 19.4, 23.2 and 25.2±0.2 degrees 2 theta, and process for its preparation. The present invention relates to amorphous solid dispersion comprising abrocitinib or salt thereof together with at least one pharmaceutically acceptable carrier and process for its preparation.

Abstract: A method enables communication between Session Management Function (SMF) and User Plane Function (UPF) instances which are separately deployed behind Network Address Translation (NAT) services. The method includes configuring an SMF or a UPF to initiate an association with a corresponding UPF or SMF. The SMF registers first information with a Network Repository Function (NRF) enabling the remote UPF to communicate with the SMF through a NAT service. The method further includes obtaining second information from the NRF enabling the SMF to communicate with the remote UPF through the NAT service. The method also includes sending an association request to the remote UPF based on the second information and receiving an association response from the remote UPF through the NAT service.

Abstract: A system and method are disclosed for solving a hierarchy of objective functions using one or more hierarchical optimizations using explanation data stored in a database according to the one or more hierarchical optimizations, retrieving the explanation data, generating a response to a query for a goal violation by parsing the retrieved explanation data, and displaying the response.

Abstract: Improved systems and methods for database analysis are described herein. A method includes generating a graph-based ontological data structure including nodes connected by edges in a low-latency database analysis system, wherein each node represents a respective analytical-object in the low-latency database analysis system, maintaining versions for each of the nodes in the graph-based ontological data structure, maintaining versions for each of the edges in the graph-based ontological data structure, maintaining a transaction log for each transaction with respect to the graph-based ontological data structure, reverting to an earlier version of at least a portion of the graph-based ontological data structure using the transaction log, versioned nodes, and versioned edges in response to an event, and outputting a version of the graph-based ontological data structure in a defined form for presentation to a user or for use by a client.

Abstract: In an example, an insulation apparatus is described. The apparatus includes a battery pack comprising a plurality of battery cells, and an insulating bag disposed around, and attached to, a surface of the battery pack. The insulating bag is configured to expand at an altitude. The insulating bag includes an outer surface, and the outer surface includes a polyethylene terephthalate (PET) film. The insulating bag is at least partially filled with a Noble gas.

Abstract: A method and system for replicating file system entities in a manner that preserves block-level access and file system efficiency mechanisms such as deduplication are disclosed. In an embodiment, a replication engine receives a stream of file system entities that include a file system inodes and file system data blocks. The replication engine generates object-based storage (OBS) objects based on data and reference information specified by the file system entities. As part of generating the OBS objects, the replication engine generates at least one inode file object that associates file block numbers of a file system inode file and the inode numbers. The replication engine uses inode information to generate reference objects that logically associate file block numbers with data block numbers in per inode manner. The replication engine further generates data objects that contains the file system data blocks and that associates the data blocks with corresponding data block numbers.

Abstract: The present invention relates to process for preparation of N1-(5-Chloropyridin-2-yl)-N2-[(1S,2R,4S)-4-(N,N-dimethylcarbamoyl)-2-(5-methyl-4,5,6,7-tetrahydrothiazolo [5,4-c]pyridin-2-ylcarboxamido)cyclohexyl]oxamide p-toluene sulfonate monohydrate [edoxaban tosylate monohydrate], the compound of formula I, comprising reacting compound of formula VI with compound of formula V to obtain the compound of formula IV and further converting it to edoxaban tosylate monohydrate in an industrially feasible process.

Abstract: Systems and methods for training an object detection network are described. Embodiments train an object detection network using a labeled training set, wherein each element of the labeled training set includes an image and ground truth labels for object instances in the image, predict annotation data for a candidate set of unlabeled data using the object detection network, select a sample image from the candidate set using a policy network, generate a labeled sample based on the selected sample image and the annotation data, wherein the labeled sample includes labels for a plurality of object instances in the sample image, and perform additional training on the object detection network based at least in part on the labeled sample.

Abstract: Systems and techniques are described for data encoding using a machine learning approach to generate a distortion prediction {circumflex over (D)} and a predicted bit rate {circumflex over (R)}, and to use {circumflex over (D)} and {circumflex over (R)} to perform rate-distortion optimization (RDO). For example, a video encoder can generate the distortion prediction {circumflex over (D)} and the bit rate residual prediction based on outputs of the one or more neural networks in response to the one or more neural networks receiving a residual portion of a block of a video frame as input. The video encoder can determine bit rate metadata prediction based on metadata associated with a mode of compression, and determine {circumflex over (R)} to be the sum of and . The video encoder can determine a rate-distortion cost prediction ? as a function of {circumflex over (D)} and {circumflex over (R)}, and can determine a prediction mode for compressing the block based on ?.

Abstract: Indexing in a low-latency data access and analysis system includes accessing, by an indexing unit of a low-latency data access and analysis system, constituent data from a data source of the low-latency data access and analysis system and indexing the constituent data in an index of the low-latency data access and analysis system by an indexing unit of the low-latency data access and analysis system. Indexing includes partitioning the constituent data based on a characteristic of the constituent data into at least a first partition and a second partition, segmenting the first partition into a first segment of the first partition, sharding the first segment into a first shard of the first segment of the first partition, segmenting, using hash-partitioning, the second partition into one or more segments of the second partition, and for respective segments of the second partition, sharding the respective segment into one or more respective shards.

Abstract: A system for rush order fulfilment optimization is discussed. The system includes mobile devices that are each associated with a worker and a rush fulfillment engine executed by a computing system which dynamically updates a task queue of each worker upon receipt of a new rush order according to a task completion rate difference between an estimated task completion rate and the current task completion rate of the worker.

Abstract: In some embodiments, a data visualization system detects insights from a dataset and computes insight scores for respective insights. The data visualization system further computes insight type scores, from the insight scores, for insight types in the detected insights. The data visualization system determines a selected insight type for the dataset having a higher insight type score than unselected insight types and determines, for the selected insight type, a set of selected insights that have higher insight scores than unselected insights. The data visualization system determines insight visualizations for the set of selected insights and generates, for inclusion in a user interface of the data visualization system, selectable interface elements configured for invoking an editing tool for updating the determined insight visualizations from the dataset. The selectable interface elements are arranged in the user interface according to the insight scores of the set of selected insights.