An apparatus for transferring a container from a first station to a second station of a container forming line includes a frame, a slide mounted to the frame, and a robotic arm mounted to the slide and movable along the slide between the first station and the second station. The robotic arm includes an end effector operable to remove the container from the first station. The frame is removably coupleable to at least one of the first station and the second station such that the apparatus is transportable to a different container forming line.

A method may include accessing a report definition template, the report definition template identifying a set of data requirement for a report; mapping the set of data requirements to a corresponding semantic object in a semantic ontology; parsing a semantic map to determine a database table storing data for the semantic object; retrieving the data for the semantic object from the database table; generating a report data file adhering to the semantic object ontology based in part on the retrieved data; transmitting a logical location of the generated report data file, a logical location of the semantic map, and logical location of the semantic ontology to a blockchain node for adding to a report block in the blockchain.

A pharmaceutical storage and retrieval system and a method of storing and retrieving pharmaceutical containers from the system. The system includes a pharmaceutical storage and retrieval and a controller operatively coupled to the device to control storage and retrieval functions of the device. The device includes a gantry assembly, a shelving assembly, a user access assembly, and a user authorization system that function in a coordinated manner to carry out the storage and retrieval functions of the device.

A self-propelled wrapping machine movable around a load, for wrapping the load with a film of plastic material, includes a self-propelled carriage with a guide, a column fixed to the carriage and slidably supporting an unwinding unit of the film, a sensor to detect surfaces and/or external edges of the load in their total extension and along a detection direction and process related signals. The wrapping machine also includes a control unit to receive the signals from the sensor, calculate a peripheral outline of plan maximum overall dimension of the load based on the surfaces and/or external edges detected by the sensor, and process a wrapping path of the wrapping machine around the load based on the peripheral outline so as to avoid collisions with the load. The control unit controls the guide to guide the wrapping machine along the wrapping path.

This document described digital decoupling architectures that enable existing computing systems to run in parallel with new computing technologies. In some aspects, a method includes receiving, by a digital decoupling system and from a source computing system, one or more updated data sets that each include data that has been updated at the source computing system. A source data entry of a source table of a database of the digital decoupling system is updated based on each updated data set. In response to detecting the change to the source table, a target data entry that includes data of the updated source data entry is added to a target table of the database. An adapter module obtains the data of the target data entry and generates an event that specifies the data of the target data entry. The event is sent to one or more destination computing elements.

A neural processing unit (NPU) includes a controller including a scheduler, the controller configured to receive from a compiler a machine code of an artificial neural network (ANN) including a fusion ANN, the machine code including data locality information of the fusion ANN, and receive heterogeneous sensor data from a plurality of sensors corresponding to the fusion ANN; at least one processing element configured to perform fusion operations of the fusion ANN including a convolution operation and at least one special function operation; a special function unit (SFU) configured to perform a special function operation of the fusion ANN; and an on-chip memory configured to store operation data of the fusion ANN, wherein the schedular is configured to control the at least one processing element and the on-chip memory such that all operations of the fusion ANN are processed in a predetermined sequence according to the data locality information.

A neural processing unit (NPU) includes a controller including a scheduler, the controller configured to receive from a compiler a machine code of an artificial neural network (ANN) including a fusion ANN, the machine code including data locality information of the fusion ANN, and receive heterogeneous sensor data from a plurality of sensors corresponding to the fusion ANN; at least one processing element configured to perform fusion operations of the fusion ANN including a convolution operation and at least one special function operation; a special function unit (SFU) configured to perform a special function operation of the fusion ANN; and an on-chip memory configured to store operation data of the fusion ANN, wherein the schedular is configured to control the at least one processing element and the on-chip memory such that all operations of the fusion ANN are processed in a predetermined sequence according to the data locality information.

Disclosed herein are system, method, and computer program product embodiments for providing index and storage management for multi-tiered databases. An embodiment operates by receiving a request to create an index on a multi-tiered database including both an in-memory store and a disk store. A multi-store table associated with the index is determined, wherein the multi-store table includes both a first set of data stored on the memory store and a second set of data stored on the disk store. Either the first set of data or the second set of data on which to create the index is selected based on the request. The index for the selected set of data of the multi-store table is generated. The index is stored on either the disk store or the memory store as corresponding to the selected set of data for which the index was generated.

Systems and methods for mitigating a thermal impact on a vehicle cabin caused by a battery thermal-management system, include determining a status of vehicle climate control system; determining whether a battery thermal-management system of the vehicle is operating above a determined threshold; and if the vehicle climate control system is active and the battery thermal-management system of the vehicle is operating above the determined threshold, adjusting at least one of a plurality of cabin temperature control parameters to mitigate a thermal impact of the battery thermal-management system on a rear portion of the vehicle cabin.

This disclosure relates generally to data integration, and more specifically to artificial intelligence based data integration of entities post market consolidation. The method includes extracting, using one or more text mining models, metadata associated with at least one category of each of the participating entities of the deal, from data sources associated with the entities. The disclosed system dynamically configures an assessment for the at least one category based on the metadata by using a set of Natural Language Processing (NLP) rules. The assessment includes parameters associated with the data integration of the entities. Response to the assessment is obtained from users belonging to the entities. An artificial intelligence (AI) based processing model assigns a similarity score to the responses, where the similarity score is indicative of extent of match between distinct responses obtained from the entities. A recommendation engine recommends a data integration model based on the similarity score.