Abstract: An image is accepted by one or more processing circuits from a user depicting the user's skin. Machine learning models stored in one or more memory circuits are applied to the image to classify acne characteristics. An acne severity grade is provided by the one or more processing circuits and a user interface displays the acne severity grade.

Abstract: An image is accepted by one or more processing circuits from a user depicting the user's facial skin. Machine learning models stored in one or more memory circuits are applied to the image to classify facial skin characteristics. A regimen recommendation is provided to the user based on the classified facial skin characteristics.

Abstract: This invention relates to novel compounds according to Formula (I) which are inhibitors of ghrelin O-acyltransferase (GOAT), to pharmaceutical compositions containing them, to processes for their preparation, and to their use in therapy for the treatment of metabolic disorders (e.g. Prader-Willi syndrome, metabolic syndrome, insulin resistance, impaired glucose tolerance, prediabetes, diabetes mellitus (e.g., type II diabetes mellitus), dysglycemia (e.g., hyperglycemia), obesity (e.g., obesity caused by Prader-Willi syndrome), increased adiposity, poor glycemic control, hyperphagia, impaired satiety, dyslipidemia (e.g., atherogenic dyslipidemia), hepatic steatosis (e.g., non-alcoholic fatty liver disease (e.g., non-alcoholic steatohepatitis))), psychiatric disorders (e.g., eating disorders (e.g., bulimia nervosa, binge eating disorder, night-time eating syndrome), substance related disorders (e.g., addiction disorders (e.g.

Abstract: This invention relates to novel compounds according to Formula (I) which are inhibitors of ghrelin O-acyltransferase (GOAT), to pharmaceutical compositions containing them, to processes for their preparation, and to their use in therapy for the treatment of metabolic disorders (e.g. Prader-Willi syndrome, metabolic syndrome, insulin resistance, impaired glucose tolerance, prediabetes, diabetes mellitus (e.g., type II diabetes mellitus), dysglycemia (e.g., hyperglycemia), obesity (e.g., obesity caused by Prader-Willi syndrome), increased adiposity, poor glycemic control, hyperphagia, impaired satiety, dyslipidemia (e.g., atherogenic dyslipidemia), hepatic steatosis (e.g., non-alcoholic fatty liver disease (e.g., non-alcoholic steatohepatitis))), psychiatric disorders (e.g., eating disorders (e.g., bulimia nervosa, binge eating disorder, night-time eating syndrome), substance related disorders (e.g., addiction disorders (e.g.

Abstract: An image is accepted by one or more processing circuits from a user depicting the user's facial skin. Machine learning models stored in one or more memory circuits are applied to the image to classify facial skin characteristics. A regimen recommendation is provided to the user based on the classified facial skin characteristics.

Abstract: An image is accepted by one or more processing circuits from a user depicting the user's skin. Machine learning models stored in one or more memory circuits are applied to the image to classify acne characteristics. An acne severity grade is provided by the one or more processing circuits and a user interface displays the acne severity grade.

Abstract: An image is accepted by one or more processing circuits from a user depicting the user's facial skin. Machine learning models stored in one or more memory circuits are applied to the image to classify facial skin characteristics. A regimen recommendation is provided to the user based on the classified facial skin characteristics.

Abstract: An image is accepted by one or more processing circuits from a user depicting the user's facial skin. Machine learning models stored in one or more memory circuits are applied to the image to classify facial skin characteristics. A regimen recommendation is provided to the user based on the classified facial skin characteristics.

Abstract: This invention relates to novel compounds according to Formula (I) which are inhibitors of ghrelin O-acyltransferase (GOAT), to pharmaceutical compositions containing them, to processes for their preparation, and to their use in therapy for the treatment of metabolic disorders (e.g. Prader-Willi syndrome, metabolic syndrome, insulin resistance, impaired glucose tolerance, prediabetes, diabetes mellitus (e.g., type II diabetes mellitus), dysglycemia (e.g., hyperglycemia), obesity (e.g., obesity caused by Prader-Willi syndrome), increased adiposity, poor glycemic control, hyperphagia, impaired satiety, dyslipidemia (e.g., atherogenic dyslipidemia), hepatic steatosis (e.g., non-alcoholic fatty liver disease (e.g., non-alcoholic steatohepatitis))), psychiatric disorders (e.g., eating disorders (e.g., bulimia nervosa, binge eating disorder, night-time eating syndrome), substance related disorders (e.g., addiction disorders (e.g.

Abstract: Disclosed are various embodiments for automating the prediction of maintenance windows in datacenter environments. A user input can be received specifying a start time for a maintenance window. A first amount of time for a host machine to enter a maintenance mode at the start time for the maintenance window is estimated. Then, a second amount of time to update a software component installed on the host machine is estimated. A third amount of time for the host to update a storage cache to match a respective data store can also be estimated. A maintenance window length can then be predicted that comprises a sum of the first amount of time, the second amount of time, and third amount of time. The maintenance window length can then be rendered within a user interface.

Abstract: This disclosure relates to the field of molecules having pesticidal utility against pests in Phyla Arthropoda, Mollusca, and Nematoda, processes to produce such molecules, intermediates used in such processes, pesticidal compositions containing such molecules, and processes of using such pesticidal compositions against such pests. These pesticidal compositions may be used, for example, as acaricides, insecticides, miticides, molluscicides, and nematicides. This document discloses molecules having the following formula (“Formula One”).

Abstract: An image is accepted by one or more processing circuits from a user depicting the user's facial skin. Machine learning models stored in one or more memory circuits are applied to the image to classify facial skin characteristics. A regimen recommendation is provided to the user based on the classified facial skin characteristics.

Abstract: An image is accepted by one or more processing circuits from a user depicting the user's facial skin. Machine learning models stored in one or more memory circuits are applied to the image to classify facial skin characteristics. A regimen recommendation is provided to the user based on the classified facial skin characteristics.

Abstract: A silicon compiler, such as a memory compiler, provides for pin-based noise characterization in a computationally efficient manner. For a given user-provided option set, a silicon compiler provides a noise database for the set of all available memory instances by performing pin-based noise characterization on only a subset of the set of available memory instances.

Abstract: Disclosed is a system and a method of externally assessing damage to a vehicle.

Abstract: Various implementations described herein are directed to a computing device. The computing device may include a mapper module that receives a user configuration input of a destination corner for building a destination corner database. The mapper module may include a decision making engine that decides fabrication parameters for building the destination corner database based on the verified user configuration input and memory compiler metadata. The computing device may include a builder module that performs a simulation of the destination corner based on the fabrication parameters, collects simulation results data associated with the simulation, and builds the destination corner database for the destination corner based on the simulation results data and source corner data.

Abstract: This disclosure relates to the field of molecules having pesticidal utility against pests in Phyla Arthropoda, Mollusca, and Nematoda, processes to produce such molecules, intermediates used in such processes, pesticidal compositions containing such molecules, and processes of using such pesticidal compositions against such pests. These pesticidal compositions may be used, for example, as acaricides, insecticides, miticides, molluscicides, and nematicides. This document discloses molecules having the following formula (“Formula One”).

Abstract: A silicon compiler, such as a memory compiler, provides for pin-based noise characterization in a computationally efficient manner. For a given user-provided option set, a silicon compiler provides a noise database for the set of all available memory instances by performing pin-based noise characterization on only a subset of the set of available memory instances.

Abstract: Various implementations described herein are directed to a computing device. The computing device may include a mapper module that receives a user configuration input of a destination corner for building a destination corner database. The mapper module may include a decision making engine that decides fabrication parameters for building the destination corner database based on the verified user configuration input and memory compiler metadata. The computing device may include a builder module that performs a simulation of the destination corner based on the fabrication parameters, collects simulation results data associated with the simulation, and builds the destination corner database for the destination corner based on the simulation results data and source corner data.

Abstract: This document discloses molecules having the following formula (“Formula One”): and processes associated therewith.