Abstract: Methods are described that impart a dual texture to baked goods. The methods generally include making a leavened batter that contains a relatively low flour to water ratio, followed by combining the leavened batter with a second portion of flour to make a dough.

Abstract: A method and system for analyzing sex-chromosome aneuploidies of an individual are provided. In one embodiment, a method comprises training a neural network model based on predetermined information related to at least one sex chromosome. The method also comprises determining a respective sex-chromosome status based on a normalized read depth for a gene in a genome of the individual using a machine learning algorithm. The machine learning algorithm is configured to receive, as inputs, the normalized read depth, and output the respective sex-chromosome status of the individual. In another embodiment, a system I is provided including a neural network model trained based on predetermined information related to at least one sex chromosome and is adapted to determine a respective sex-chromosome status based on a normalized read depth for a gene in a genome of the individual using a machine learning algorithm.

Abstract: Methods are described that impart a dual texture to baked goods. The methods generally include making a leavened batter that contains a relatively low flour to water ratio, followed by combining the leavened batter with a second portion of flour to make a dough.

Abstract: Views may be generated for bias metrics or feature attribution captured in machine learning pipelines. A request to create a view of bias metrics or feature attribution may be received. The bias metrics or feature attribution may have been determined in a machine learning pipeline as part of executing a training job that specified the bias metrics or the feature attribution. A development application may access a data store that stores the bias metrics or the feature attribution determined in the machine learning pipeline. A view based on the bias metrics or feature attribution may be generated and provided.

Abstract: Bias metrics may be captured at different stages for training a machine learning model. A training job may specify bias metrics to capture at multiple different stages of a machine learning pipeline for a feature of a training data set used to train a machine learning model. The training job may be executed and the bias metrics determined at the stages as specified in the training job. The bias metrics for the different stages may be stored.

Abstract: Bias metrics and feature attribution may be monitored for a machine learning model. A request to enable monitoring for bias metrics or feature attribution may be received. Monitoring may be enabled to evaluate respective performance of inferences of a machine learning model according to the enabled bias metrics or feature attribution. If a divergence from reference data is detected, then a notification indicating the divergence may be sent.

Abstract: Feature attribution may be captured as part of a machine learning pipeline. A training job may include a request to determine feature attribution as part of a machine learning pipeline that trains a machine learning model from a training data set. A reference data set for determining the feature attribution of the machine learning model may be identified. The feature attribution may be determined based on the reference data set. The feature attribution of the trained machine learning model may be stored.

Abstract: A durable pet tag having machine readable indicia. A multiple layer label is pre-assembled and applied and embedded into a metal substrate for durability. A two sided pet tag having machine readable indicia on a first side and human readable indicia on a second side is provided, the human readable indicia being stamped into the side of the substrate opposite the machine readable printed sheet so that a single pet tag is provided with machine readable data to allow finders of lost pets to retrieve owner information using a smart phone and the database accessible with the pet tag machine readable indicia. The pet tag also has human readable indicia to comply with legal requirements.

Abstract: A durable pet tag having machine readable indicia. A multiple layer label is pre-assembled and applied and embedded into a metal substrate for durability. A two sided pet tag having machine readable indicia on a first side and human readable indicia on a second side is provided, the human readable indicia being stamped into the side of the substrate opposite the machine readable printed sheet so that a single pet tag is provided with machine readable data to allow finders of lost pets to retrieve owner information using a smart phone and the database accessible with the pet tag machine readable indicia. The pet tag also has human readable indicia to comply with legal requirements.

Abstract: A system and method for determining a respective carrier status of an individual is provided. In one implementation, a method includes training a neural network model based on predetermined information related to at least one genetic variant and determining the respective carrier status based on a normalized read depth for the gene in a genome of the individual and allele dosage data for the gene using a machine learning algorithm. The method is configured to receive, as inputs, the normalized read depth and allele dosage data, and output the respective carrier status of the individual for the at least one genetic variant. In another implementation a system includes a recurrent neural network. The recurrent neural network includes a plurality of long short-term memory (LSTM) network cells linked sequentially in the recurrent neural network, a plurality of layers of long short-term memory (LSTM) network cells; and a fully connected sigmoid module.

Abstract: Methods are described that impart a dual texture to baked goods. The methods generally include making a leavened batter that contains a relatively low flour to water ratio, followed by combining the leavened batter with a second portion of flour to make a dough.

Abstract: Disclosed is a frozen product and methods of making the frozen product. The frozen product includes a frozen biscuit dough that bakes without prior thawing in a reduced time. The frozen biscuit dough includes a leavening system that comprises a fast acting leavening acid. Also included are methods of making a baked good from a frozen product.

Abstract: Disclosed is a frozen product and methods of making the frozen product. The frozen product includes a frozen biscuit dough that bakes without prior thawing in a reduced time. The frozen biscuit dough includes a leavening system that comprises a fast acting leavening acid. Also included are methods of making a baked good from a frozen product.

Abstract: A robotic system is provided for accurately and quickly sorting sample tubes within or between sample tube racks.

Abstract: A robotic system is provided for accurately and quickly sorting sample tubes within or between sample tube racks.

Abstract: Search results may include both objective results and person results. In one example, a search query is evaluated to determine whether it is the type of query that a user might want to ask to a friend. If the query is of such a type, then the search engine may examine a social graph to determine which friends of the user who entered the query may have information that is relevant to answering the query. If such friends exist, then the friends may be displayed along with objective search results, along with an explanation of each friend's relevance to the query. Clicking on a person in the results may cause a conversation to be initiated with that person, thereby allowing the user who entered the query to ask his or her friend about the subject of the query.

Abstract: A robotic system is provided for accurately and quickly sorting sample tubes within or between sample tube racks.

Abstract: Disclosed is a frozen product and methods of making the frozen product. The frozen product includes a frozen biscuit dough that bakes without prior thawing in a reduced time. The frozen biscuit dough includes a leavening system that comprises a fast acting leavening acid. Also included are methods of making a baked good from a frozen product.

Abstract: Disclosed is a frozen product and methods of making the frozen product. The frozen product includes a frozen biscuit dough that bakes without prior thawing in a reduced time. The frozen biscuit dough includes a leavening system that comprises a fast acting leavening acid. Also included are methods of making a baked good from a frozen product.

Abstract: Search results may include both objective results and person results. In one example, a search query is evaluated to determine whether it is the type of query that a user might want to ask to a friend. If the query is of such a type, then the search engine may examine a social graph to determine which friends of the user who entered the query may have information that is relevant to answering the query. If such friends exist, then the friends may be displayed along with objective search results, along with an explanation of each friend's relevance to the query. Clicking on a person in the results may cause a conversation to be initiated with that person, thereby allowing the user who entered the query to ask his or her friend about the subject of the query.