Abstract: Disclosed is a plant growing system (100), comprising: a plurality of plant growing zones (122); a control apparatus (120) configured to control one or more environmental conditions in each of the plurality of plant growing zones (122); and a receiver (142) configured to receive input data indicating plant type characteristics of a plurality of plant characteristics types to be grown in a plant growing apparatus (120). Also disclosed is a plant growing apparatus (120) configured to grow a plurality of plant types, a method to control a plant growing apparatus (120) configured to grow a plurality of plant types, and a computer program including computer-readable instructions executable to perform a method to control a plant growing apparatus (120) configured to grow a plurality of plant types.

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: 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: A component testing plan considers both distinguishable components and undistinguishable components for each of the distinguishable components. In addition to distinguishable and undistinguishable components, inputs to the system include a level of customer demand, using component-based demand forecasting, and what test types are to be performed. The system then determines a set of combinatorial test options for each of the test types and a cycle time for each combinatorial test option. The system then cognitively develops a component testing plan including a listing of combinatorial test(s) of the set of combinatorial test options for each test type to be performed and how many times to perform each combinatorial test(s) on a testing machine with a known capacity in order to minimize a total cycle time for all of the test types and a number of the testing machine needed; and implementing the component testing plan on a set of test components on a production line.

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: A component testing plan considers both distinguishable components and undistinguishable components for each of the distinguishable components. In addition to distinguishable and undistinguishable components, inputs to the system include a level of customer demand, using component-based demand forecasting, and what test types are to be performed. The system then determines a set of combinatorial test options for each of the test types and a cycle time for each combinatorial test option. The system then cognitively develops a component testing plan including a listing of combinatorial test(s) of the set of combinatorial test options for each test type to be performed and how many times to perform each combinatorial test(s) on a testing machine with a known capacity in order to minimize a total cycle time for all of the test types and a number of the testing machine needed; and implementing the component testing plan on a set of test components on a production line.

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: Disclosed is a plant growing system (100), comprising: a plurality of plant growing zones (122); a control apparatus (120) configured to control one or more environmental conditions in each of the plurality of plant growing zones (122); and a receiver (142) configured to receive input data indicating plant type characteristics of a plurality of plant characteristics types to be grown in a plant growing apparatus (120). Also disclosed is a plant growing apparatus (120) configured to grow a plurality of plant types, a method to control a plant growing apparatus (120) configured to grow a plurality of plant types, and a computer program including computer-readable instructions executable to perform a method to control a plant growing apparatus (120) configured to grow a plurality of plant types.