Abstract: A first computing device can receive first health information. The first computing device can reschedule a first notification on the first computing device to be displayed at a first time based at least in part on the first health information. The first notification can have been scheduled to be displayed at a second time. The first computing device can transmit a hold instruction to a second computing device. The hold instruction can instruct the second computing device to hold a second notification until the second computing device receives the first health information. The second notification can correspond to the first notification.

Abstract: A method may include providing a query and context associated with the query to a generative artificial intelligence (Gen AI) model, the Gen AI model trained to generate a response to the query based on the context. The method may further include performing analysis of the Gen AI model based on a first relevancy between the query and the context, a second relevancy between the query and the response, and a third relevancy between the response and the context and refining the response based on the analysis.

Abstract: A method may include providing a query and context associated with the query to a generative artificial intelligence model, in which the generative artificial intelligence model may be trained to generate a response to the query based on the context. The method may further include obtaining one or more policies, in which at least one of the one or more policies are specific to the user. An analysis of the response may be performed based on the one or more policies. Based on the analysis, alignment issues in the response may be identified. The response may be refined to improve the alignment issues.

Abstract: A method may include providing a query and context associated with the query to a generative artificial intelligence model, in which the generative artificial intelligence model may be trained to generate a response to the query based on the context. The method may further include obtaining one or more policies, in which at least one of the one or more policies are specific to the user. An analysis of the response may be performed based on the one or more policies. Based on the analysis, alignment issues in the response may be identified. The response may be refined to improve the alignment issues.

Abstract: According to an aspect of an embodiment, a method may include obtaining a blueprint associated with a retrieval-augmented generation (RAG) pipeline. The blueprint may define one or more objectives associated with the RAG pipeline. The method may further include performing an analysis of the RAG pipeline with respect to the one or more objectives. In some embodiments, one or more hyperparameters of the RAG pipeline may be adjusted based at least on the analysis.

Abstract: A method may include providing a query and context associated with the query to a generative artificial intelligence (Gen AI) model, the Gen AI model trained to generate a response to the query based on the context. The method may further include performing analysis of the Gen AI model based on a first relevancy between the query and the context, a second relevancy between the query and the response, and a third relevancy between the response and the context and refining the response based on the analysis.

Abstract: A second computing device can receive a hold instruction from a first computing device. The hold instruction can instruct the second computing device to hold a second notification until the second computing device receives first health information. The first computing device can be configured to transmit the hold instruction based on rescheduling a first notification on the first computing device to be displayed at a first time based at least in part on the first health information. The second notification can have been previously scheduled to be displayed at a second time. The second notification can correspond to the first notification. The second computing device can hold the second notification. The second computing device can receive the first health information. The second computing device can reschedule the second notification to be displayed at a third time based at least in part on the first health information.

Abstract: A micro-fibre anilox cleaning blanket having a cleaning surface area defined by a first pair of parallel edges located on opposing ends of the blanket and a second pair of edges that run between said end edges along either side of the blanket is provided. A connection strip is provided on each end edge of the blanket. The connection strips are configured to form non-permanent slotted relationships with complementary connection elements on print cylinder attachment means such that the blanket can be mounted on a print cylinder. Also provided is a system that includes a plurality of cleaning blankets and a variety of different types of print cylinder attachment means that can be combined to achieve a wide range of cleaning blanket assemblies that correspond to different print cylinder designs.

Abstract: According to an aspect of an embodiment, a method for performing a generative artificial intelligence model analytics operation may include obtaining an artificial intelligence (AI) model. The method may further include performing analysis of the AI model using one or more scoring agents. The method may further include generating a report including results of the analysis and providing the report on a user interface.

Abstract: A second computing device can receive a hold instruction from a first computing device. The hold instruction can instruct the second computing device to hold a second notification until the second computing device receives first health information. The first computing device can be configured to transmit the hold instruction based on rescheduling a first notification on the first computing device to be displayed at a first time based at least in part on the first health information. The second notification can have been previously scheduled to be displayed at a second time. The second notification can correspond to the first notification. The second computing device can hold the second notification. The second computing device can receive the first health information. The second computing device can reschedule the second notification to be displayed at a third time based at least in part on the first health information.

Abstract: A micro-fibre anilox cleaning blanket having a cleaning surface area defined by a first pair of parallel edges located on opposing ends of the blanket and a second pair of edges that run between said end edges along either side of the blanket is provided. A connection strip is provided on each end edge of the blanket. The connection strips are configured to form non-permanent slotted relationships with complementary connection elements on print cylinder attachment means such that the blanket can be mounted on a print cylinder. Also provided is a system that includes a plurality of cleaning blankets and a variety of different types of print cylinder attachment means that can be combined to achieve a wide range of cleaning blanket assemblies that correspond to different print cylinder designs.

Abstract: A double-sided adhesive flexographic printing plate underlay for use in the manufacture and mounting of flexographic printing plates is provided. The underlay is carrier sheet with a solvent acrylic adhesive stripe-coating provided on both sides thereof. In addition, a siliconized release liner is provided to cover one of the coated sides of the carrier sheet. Both the carrier sheet and the release liner are formed from a glass clear polyethylene terephthalate (PET) and the solvent acrylic adhesive is transparent such that ultraviolent light can readily pass through the underlay. The construction of the underlay is such that it can withstand the washout conditions employed in the manufacture of both liquid and solid photopolymer flexographic printing plates.

Abstract: A method for determining whether a target cell has experienced interference due to Passive Intermodulation (PIM) distinguished from other forms of interference at cellular network sites during a time window. In one aspect, the method includes defining a set of N time slices and obtaining a first performance metric for each of the N time slices. The method includes selecting a subset of the N time slices using a set of N first performance metrics where the subset of N time slices includes a first time slice. For the first time slice, at least a first data point is determined using a performance metric for the target cell that was collected during the first time slice. The method includes using the first data point and a supervised learning model to determine whether the target cell has experience PIM interference during the time window.

Abstract: A method for determining whether a target cell has experienced interference due to Passive Intermodulation (PIM) distinguished from other forms of interference at cellular network sites during a time window. In one aspect, the method includes defining a set of N time slices and obtaining a first performance metric for each of the N time slices. The method includes selecting a subset of the N time slices using a set of N first performance metrics where the subset of N time slices includes a first time slice. For the first time slice, at least a first data point is determined using a performance metric for the target cell that was collected during the first time slice. The method includes using the first data point and a supervised learning model to determine whether the target cell has experience PIM interference during the time window.

Abstract: A ventilation system having a conduit, a grating having openings or ventilation holes to capture rising radiant heat, a filter wherein the filter is affixed proximate the openings or ventilation holes; a first fan wherein the first fan is mounted on the first end of the conduit; a second fan wherein the second fan is mounted on the second end of the conduit.

Abstract: A system for forecasting the outbound workload in a switchyard. The system has a processing entity for which receives information on railcar traffic for handling by the switchyard, wherein the railcar traffic includes railcars that are yet to be switched into classification tracks of the switchyard. For every departure train of two or more departure trains, the processing entity applies logic rules to the information to compute a forecast of railcar traffic that will be available to the departure train for transport out of the switchyard. An output releases data derived from the forecast of railcar traffic, describing the traffic available for each train of the two or more departure trains.

Abstract: As embodied and broadly described herein the invention includes a system for computing a preferred sequence in which cars in a switching queue of a railway switchyard are to be sequentially switched to classification tracks. The system has a processing entity for determining within a given set of cars at least two possible sequences in which the cars in the set can be switched and applying logic rules for identifying among the sequences a preferred sequence. The system also has an output for releasing data describing the preferred sequence.

Abstract: As embodied and broadly described herein the invention includes a system for computing a preferred sequence in which cars in a switching queue of a railway switchyard are to be sequentially switched to classification tracks. The system has a processing entity for determining within a given set of cars at least two possible sequences in which the cars in the set can be switched and applying logic rules for identifying among the sequences a preferred sequence. The system also has an output for releasing data describing the preferred sequence.

Abstract: A system for forecasting the outbound workload in a switchyard. The system has a processing entity for which receives information on railcar traffic for handling by the switchyard, wherein the railcar traffic includes railcars that are yet to be switched into classification tracks of the switchyard. For every departure train of two or more departure trains, the processing entity applies logic rules to the information to compute a forecast of railcar traffic that will be available to the departure train for transport out of the switchyard. An output releases data derived from the forecast of railcar traffic, describing the traffic available for each train of the two or more departure trains.

Abstract: A system for forecasting the outbound workload in a switchyard. The system has a processing entity for which receives information on railcar traffic for handling by the switchyard, wherein the railcar traffic includes railcars that are yet to be switched into classification tracks of the switchyard. For every departure train of two or more departure trains, the processing entity applies logic rules to the information to compute a forecast of railcar traffic that will be available to the departure train for transport out of the switchyard. An output releases data derived from the forecast of railcar traffic, describing the traffic available for each train of the two or more departure trains.