Abstract: A computer-implemented method for ML platform-agnostic machine learning (ML) training, the method comprising: providing a set of adapters to map an ML platform agnostic format to a plurality of ML platform specific formats; receiving, at a labeling platform, a use case associated with a use case type, the use case comprising configuration information for an ML model, the configuration information formatted according to the ML platform agnostic format; using an adapter, from the set of adapters, that corresponds to the selected ML platform, mapping the configuration information from the ML platform agnostic format to an ML platform specific format of the selected ML platform; and training the ML model using the selected ML platform and a set of training data.

Abstract: Systems, methods, and computer program products for agnostic machine learning inference are provided. A computer system, such as a labeling platform, uses a machine learning (ML) model inference configuration to configure an inference environment to use an ML model to process labeling requests. The ML model inference configuration is agnostic to the particulars of the ML platform being used. An adapter maps the ML model inference configuration to an ML platform specific format to instantiate a running system on a given platform.

Abstract: One embodiment includes a computer-implemented data labeling platform. The platform provides a confidence-driven workflow (CDW) executable to receive and process labeling requests to label data items. The CDW comprises a set of executable labelers, each labeler in having a dynamically modeled confidence range. The execution path for processing a labeling request to label a data item is dynamically determined.

Abstract: A delivery vehicle, for delivering a pharmaceutically active agent or a marker to a cell, comprising a ligand binding portion specific for a Fas Ligand, and a carrier for the pharmaceutically active agent or marker.

Abstract: Provided are cell plate inserts that include an interior lip and legs on a bottom side. The cell plate inserts can have a diameter that provides a snug fit within a cell plate or well. The cell plate inserts can include a cell support membrane disposed on an interior lip of the cell plate insert. The cell plate inserts can be included in systems for cell co-culture, where cells cultured in a top chamber formed by the cell plate insert do not infiltrate cells cultured in a bottom chamber formed by the cell plate insert.

Abstract: Embodiments described herein provide mechanisms to generate synthetic data that meets customized invariance and diversity criteria at scale using a combination of machine and human activities. Embodiments can be used, for example, to generate a large set of labeled data that preserves invariances that are relevant to a specified target application (e.g., training a ML model to produce a given inference) while expanding both the quantity and diversity/variation of data relevant to that application. In some embodiments, a complex workflow can be defined that combines stages having both machine processes and human processes that provide guidance from assessors to generators such that subsequent data generation is improved through feedback that can include human input at scale.

Abstract: Systems, methods and products for optimization of a machine learning labeler. In one method, labeling requests are received and corresponding label inferences are generated using a champion model. A portion of the labeling requests and corresponding inferences is selected for use as training data, and labels are generated for the selected requests, thereby producing corresponding augmented results. A first portion of the augmented results are provided as training data to an experiment coordinator, which then trains one or more challenger models using these augmented results. A second portion of the augmented results is provided as evaluation data to a model evaluator, which evaluates the performance of the challenger models and the champion model. If one of the challenger models has higher performance than the champion model, the model evaluator promotes the challenger model to replace the champion model.

Abstract: A liquid quality system for removing particulates from liquid (e.g., storm-water runoff). The system can include tubular portion (e.g., a manhole). The tubular portion has an inlet and an outlet. The system includes liquid quality device. The liquid quality device includes a partitioning portion. The partitioning portion has a first region including a funnel shape with a sump inlet aperture. The partitioning portion also has a second region including a sump outlet aperture and optionally a sump access aperture. A sump region is located between a base portion and the partitioning portion, wherein a flow of the liquid travels from the inlet in the tubular portion, into the funnel, through the sump inlet aperture, into the sump region, through the sump outlet aperture, and out the outlet of the tubular portion. At least one drag-inducing portion is positioned proximate the tubular portion in the sump region and projecting inwardly towards a central axis of the sump region.

Abstract: One embodiment includes a computer-implemented data labeling platform. The platform provides a confidence-driven workflow (CDW) executable to receive and process labeling requests to label data items. The CDW comprises a set of executable labelers, each labeler in having a dynamically modeled confidence range. The execution path for processing a labeling request to label a data item is dynamically determined.

Abstract: A user may capture an image of a document using a mobile device. The mobile device may crop and clean the image. The mobile device may perform optical character recognition on the image and output a character string. The mobile device may match portions of the character string with stored records and determine a likelihood that the stored record corresponds to the image. The mobile device may display potential matches for the image, and the user may select the record which matches the image.

Abstract: A dishwashing composition including a copolymer including polyalkylene oxide groups and quaternary nitrogen atoms and more than 30% by weight of the composition of a complexing agent.

Abstract: A dishwashing composition including a copolymer including polyalkylene oxide groups and quaternary nitrogen atoms and a complexing agent system comprising citrate.

Abstract: A phosphate-free automatic dishwashing cleaning composition including from about 10% to about 60% by weight thereof of a builder system consisting of: i) a complexing agent selected from the group consisting of methyl glycine diacetic acid, its salts and derivatives thereof, glutamic-N,N-diacetic acid, its salts and derivatives thereof, iminodisuccinic acid, its salts and derivatives thereof, carboxy methyl inulin, its salts and derivatives thereof; and mixtures thereof; and ii) an itaconic/sulfonic polymer wherein the builder system comprises more than 40% by weight thereof of the complexing agent.

Abstract: Systems and methods for a financial transaction system are provided. Additionally, computer-implemented methods for providing a customer with a method of making a payment to a third party. These methods may include generating a token associated with financial transaction information and representing a single transaction to the third party on behalf of the customer, where the financial transaction information may include a payment amount, transmitting the token based on the financial transaction information to a system, and receiving the token from the third party at the remote dispensing machine.

Abstract: A user may capture an image of a document using a mobile device. The mobile device may crop and clean the image. The mobile device may perform optical character recognition on the image and output a character string. The mobile device may match portions of the character string with stored records and determine a likelihood that the stored record corresponds to the image. The mobile device may display potential matches for the image, and the user may select the record which matches the image.

Abstract: A liquid quality system for removing particulates from liquid (e.g., storm-water runoff). The system can include tubular portion (e.g., a manhole). The tubular portion has an inlet and an outlet. The system includes liquid quality device. The liquid quality device includes a partitioning portion. The partitioning portion has a first region including a funnel shape with a sump inlet aperture. The partitioning portion also has a second region including a sump outlet aperture and optionally a sump access aperture. A sump region is located between a base portion and the partitioning portion, wherein a flow of the liquid travels from the inlet in the tubular portion, into the funnel, through the sump inlet aperture, into the sump region, through the sump outlet aperture, and out the outlet of the tubular portion. At least one drag-inducing portion is positioned proximate the tubular portion in the sump region and projecting inwardly towards a central axis of the sump region.

Abstract: A liquid quality system for removing particulates from liquid (e.g., storm-water runoff). The system can include tubular portion (e.g., a manhole). The tubular portion has an inlet and an outlet. The system includes liquid quality device. The liquid quality device includes a partitioning portion. The partitioning portion has a first region including a funnel shape with a sump inlet aperture. The partitioning portion also has a second region including a sump outlet aperture and optionally a sump access aperture. A sump region is located between a base portion and the partitioning portion, wherein a flow of the liquid travels from the inlet in the tubular portion, into the funnel, through the sump inlet aperture, into the sump region, through the sump outlet aperture, and out the outlet of the tubular portion. At least one drag-inducing portion is positioned proximate the tubular portion in the sump region and projecting inwardly towards a central axis of the sump region.

Abstract: A method of cleaning a soiled dishware load in an automatic dishwashing machine including the step of subjecting the load to a wash liquor including at least 700 ppm of an aminocarboxylated complexing agent and wherein the liquor is free of phosphate and free of dispersant polymer.

Abstract: A dishwashing composition including a copolymer including polyalkylene oxide groups and quaternary nitrogen atoms and more than 30% by weight of the composition of a complexing agent.

Abstract: A dishwashing composition including a copolymer including polyalkylene oxide groups and quaternary nitrogen atoms and a complexing agent system comprising citrate.