A pallet building apparatus for automatically building a pallet load of pallet load article units onto a pallet support including a frame defining a pallet building base, at least one articulated robot to transport and place the pallet load article units, a controller to control articulated robot motion and effect therewith a pallet load build, at least one three-dimensional, time of flight, camera to generate three-dimensional imaging of the pallet support and pallet load build, wherein the controller registers, from the three-dimensional camera, real time three-dimensional imaging data embodying different corresponding three-dimensional images of the pallet support and pallet load build, to determine, in real time, from the corresponding real time three-dimensional imaging data, a pallet support variance or article unit variance and generate in real time an articulated robot motion signal, the articulated robot motion signal being generated real time so as to be performed real time by the at least one articulated robot between placement of at least one pallet load article unit and a serially consecutive pallet load article unit enabling substantially continuous building of the pallet load build.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using neural networks having contiguous sparsity patterns. One of the methods includes storing a first parameter matrix of a neural network having a contiguous sparsity pattern in storage associated with a computing device. The computing device performs an inference pass of the neural network to generate an output vector, including reading, from the storage associated with the computing device, one or more activation values from the input vector, reading, from the storage associated with the computing device, a block of non-zero parameter values, and multiplying each of the one or more activation values by one or more of the block of non-zero parameter values.

A metadata management method, system and medium are provided. All directories and files in a file system are organized in a tree structure, and all directories and subfiles under a single directory are saved as a whole on a continuous address space of an underlying storage device in the order of creation in sequence. When metadata is updated, update operations on all subdirectories/subfiles under a directory are appended to the tail of the directory in the form of log in order, so that each metadata operation triggers only one IO request. In the process of metadata retrieval, parsing a subdirectory under a parent director requires reading all data on the continuous address space corresponding to the parent directory, and then searching for a match by means of multiple acceleration methods.

A sorting system includes a control server, multiple sorting robots, and a sorting region. The sorting region is divided into multiple sub-regions. At least one supply station and multiple delivery openings are deployed in each sub-region. Delivery openings respectively correspond to paths. The control server determines, according to path information of an item to be sorted, a target delivery opening corresponding to a path of the item, determines, from the multiple sub-regions of the sorting region, a target sub-region in which the target delivery opening is located, and allocates a delivery task to a target sorting robot among the multiple sorting robots. In response to the delivery task, the target sorting robot acquires the item from the supply station where the item is located, carries the item to the target delivery opening in the target sub-region, and delivers the same.

Various aspects of the subject technology relate to methods, systems, and machine-readable media for generating histograms according to a set-theoretic approach. The method includes receiving a command to generate at least one histogram from selected data, the selected data comprising a plurality of column groups. The method also includes identifying a superset from the plurality of column groups. The method also includes materializing, in a memory, a superset multi-column group for the superset. The method also includes identifying at least one subset of the superset from the plurality of column groups, the at least one subset comprising at least one column group. The method also includes processing the at least one subset of the superset to form a grouped resultset. The method also includes generating the at least one histogram for the grouped resultset of the at least one subset of the superset.

Methods, information handling systems and computer readable media are disclosed for generation of consistent structured data hash values across platforms and structured data formats. In one embodiment, a method includes identifying, at an information handling system, a set of data segments within a set of structured data and expressing the set of structured data in a standard format. This embodiment of the method further includes, for each of the data segments within the set of data segments, applying a hash algorithm to produce a data segment hash value and obtaining a standardized identifier for the data segment. The method continues with assembling an aggregate hash code comprising the standardized identifier and the data segment hash value for each of the data segments, and confirming an association of the aggregate hash code with the set of structured data.

Facilitating outlier object detection in tiered storage systems is provided herein. A system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations. The operations can comprise determining respective parameters associated with objects of a group of objects of a tiered storage system. The respective parameters can comprise at least one of a size, an access percentage, or a cost. The operations also can comprise using the respective parameters associated with the objects of the group of objects as inputs and performing data clustering on the group of objects, resulting in at least one data cluster. Further, the operations can comprise selecting at least one object from the group of objects as at least one outlier object within the tiered storage system based on the at least one data cluster.

Resource management includes storing, for multiple workload pools of a data intake and query system, a workload pool hierarchy arranged in multiple workload pool layers. After storing a processing request is assigned a selected subset of workload pools in a second layer of the workload pool hierarchy based on a type of processing request. The processing request is then assigned to an individual workload pool in the selected subset to obtain a selected workload pool. Execution of the processing request is initiated on the selected workload pool.

Aspects of the disclosure relate to processing queries and commands. A computing platform may receive a command input configured in a first format. The computing platform may input the command input into a natural syntactic language processor configured to extract parameters from the command input. The computing platform may input the command input into a decision system configured to identify a command type of the command input. The computing platform may generate, using a mapping catalogue and based on the parameters and the command type, an output command formatted in a second format. The computing platform may execute, against a binary store configured in the second format, the output command to obtain results to the command input. The computing platform may send commands directing an enterprise user device to display the results, which may cause the enterprise user device to display the results.

Various implementations of the invention store and retrieve data via a computing processor. The data is comprised of a plurality of data records with a sequentially changing data value and an other data value. For each data record in the plurality of data records, the computing processor causes the data record to be aggregated and stored with other data records in a first data storage container corresponding to a first data storage space based on the sequentially changing data value of the data record (i.e., sequential data space), and causes the data record to be aggregated and stored with other data records in a second data storage container corresponding to a second data storage space (i.e., finite data space). The data records in the second data storage container are stored based on the other data value. When a query is made against the data, the computing processor determines whether the query is best evaluated in the sequential data space or the finite data space. When the query is best evaluated in the sequential data space, the computing processor retrieves a first retrieved plurality of data records from the first data storage container. When the query is best evaluated in the finite data space, the computing processor retrieves a second retrieved plurality of data records from the second data storage container.