Abstract: The present invention discloses an articulating apparatus. The apparatus comprises one or more objects. Each object comprises one or more bobbling components. Further, two or more bobbling components of one or more objects are connected together. The apparatus further comprises one or more joining modules. The joining modules are configured to movably connect each bobbling component to the respective object and enables the two or more connected bobbling components of one or more objects to bobble synergistically in unison.

Abstract: A system and method are described for carrying out machine learning-based automated laundry machine error/degraded status detection and maintenance by use of acoustic sensor data rendered by the laundry machines and applied to a plurality of machine learning models for use with acoustic data rendered by the laundry machines.

Abstract: A system and method are described for carrying out machine learning-based automated laundry machine error/degraded status detection and maintenance by use of acoustic sensor data rendered by the laundry machines and applied to a plurality of machine learning models for use with acoustic data rendered by the laundry machines.

Abstract: A system and method are described for carrying out machine learning-based automated laundry machine error/degraded status detection and maintenance by use of acoustic sensor data rendered by the laundry machines and applied to a plurality of machine learning models for use with acoustic data rendered by the laundry machines.

Abstract: A computer-implemented method may include obtaining, by processor, a first message composed in a first language and obtaining, by the processor, a translated first message. The translated first message may include a translation of the first message from the first language to a second language. The method may further include determining, by the processor, that the translated first message includes a translation-generated additional meaning, and notifying, by the processor, the first user of the determination.

Abstract: Methods, systems, and computer program products for placement of objects in a loading space are provided. Aspects include determining item data for a plurality of items, determining space data for a loading space, generating an optimized configuration for placement of the plurality of items in the loading space comprising determining one or more geometric representations for each item in the plurality of items, wherein the one or more geometric representations for each item are coupled together, determining, by an algorithm, a location in the loading space for each item in the plurality of items based on the one or more geometric representations for each item and the space data, and displaying, by a display, the optimized configuration comprising an image of each item of the plurality of items overlaid on corresponding locations in an image of the loading space.

Abstract: Systems and methods for content based routing are provided. Aspects include receiving, by a processor, a request to save a file. Analyzing, by the processor, data associated with the file. Determining one or more file save locations for the file based on a feature vector, generated by a machine learning model, comprising a plurality of features extracted from the data associated with the file and presenting the one or more file save locations to a user.

Abstract: A computer-implemented method includes receiving a base visualization having first data in a first set of channels, where each channel in the first set of channels is associated with a respective range in the base visualization. It is detected that the respective ranges of the first set of channels fall outside a perceptual bandwidth of a first user. The base visualization is automatically transformed to a second visualization, based on the perceptual bandwidth of the first user. The second visualization includes second data in a second set of channels, where each channel in the second set of channels is associated with a respective range in the second visualization. The respective ranges of the second set of channels fall within the perceptual bandwidth of the first user.

Abstract: A computer-implemented method may include obtaining, by processor, a first message composed in a first language and obtaining, by the processor, a translated first message. The translated first message may include a translation of the first message from the first language to a second language. The method may further include determining, by the processor, that the translated first message includes a translation-generated additional meaning, and notifying, by the processor, the first user of the determination.

Abstract: Methods, systems, and computer program products for placement of objects in a loading space are provided. Aspects include determining item data for a plurality of items, determining space data for a loading space, generating an optimized configuration for placement of the plurality of items in the loading space comprising determining one or more geometric representations for each item in the plurality of items, wherein the one or more geometric representations for each item are coupled together, determining, by an algorithm, a location in the loading space for each item in the plurality of items based on the one or more geometric representations for each item and the space data, and displaying, by a display, the optimized configuration comprising an image of each item of the plurality of items overlaid on corresponding locations in an image of the loading space.

Abstract: Embodiments of the present invention provide a computer-implemented method for generating test plans based on test failure root causes or symptoms. The method generates a heat map of manufacturing process test failures based at least in part on historical test failures and prior repair actions. A database is searched for test failure records that are relevant to user input. Relevant test failure records are prioritized via an index score that is assigned based at least in part on proximity of the relevant test failure records to the user input. Failure records that have an index score that is higher than a threshold value are detected. Unstructured text data of each of the detected failure records is analyzed to identify relevant keywords and relevancy rates. A test solution priority list is displayed, via a GUI, in a window or view that is separate from the heat map.

Abstract: A computer-implemented method includes receiving a base visualization having first data in a first set of channels, where each channel in the first set of channels is associated with a respective range in the base visualization. It is detected that the respective ranges of the first set of channels fall outside a perceptual bandwidth of a first user. The base visualization is automatically transformed to a second visualization, based on the perceptual bandwidth of the first user. The second visualization includes second data in a second set of channels, where each channel in the second set of channels is associated with a respective range in the second visualization. The respective ranges of the second set of channels fall within the perceptual bandwidth of the first user.

Abstract: Systems and methods for content based routing are provided. Aspects include receiving, by a processor, a request to save a file. Analyzing, by the processor, data associated with the file. Determining one or more file save locations for the file based on a feature vector, generated by a machine learning model, comprising a plurality of features extracted from the data associated with the file and presenting the one or more file save locations to a user.

Abstract: Embodiments of the present invention provide a computer-implemented method for generating test plans based on test failure root causes or symptoms. The method generates a heat map of manufacturing process test failures based at least in part on historical test failures and prior repair actions. A database is searched for test failure records that are relevant to user input. Relevant test failure records are prioritized via an index score that is assigned based at least in part on proximity of the relevant test failure records to the user input. Failure records that have an index score that is higher than a threshold value are detected. Unstructured text data of each of the detected failure records is analyzed to identify relevant keywords and relevancy rates. A test solution priority list is displayed, via a GUI, in a window or view that is separate from the heat map.

Abstract: A web content extension system and platform is described. Web content extensions include tags as well as actionable code that supports deeper integration with web content than that supported by conventional tags, e.g., through interaction with APIs of the web content. The web content extensions are made available by developers of the extension to content creators via an extension catalog. The extension catalog thus supports a platform that unites developers of the web content extensions with content creators of web content. Further, this platform may be configured to support developer control of integration of the web content extension through use of an extension user interface that is created by the developer.