Abstract: Provided are certain BCL-2 inhibitors, pharmaceutical compositions thereof, and methods of use thereof.

Abstract: Provided are certain BTK inhibitors, pharmaceutical compositions thereof, and methods of use thereof.

Abstract: Provided are certain Bcl-2 inhibitors, pharmaceutical compositions thereof, and methods of use thereof.

Abstract: Provided are certain TRK inhibitors, pharmaceutical compositions thereof, and methods of use thereof.

Abstract: Provided are compounds of Formula (I), or pharmaceutically acceptable salts thereof, pharmaceutical compositions comprising these compounds thereof, and use of these compounds in preparing drugs for inhibiting ROCK.

Abstract: A mainboard includes a baseboard management controller (BMC), a plurality of dual in-line memory module (DIMM) slots, and a plurality of visual indicators each associated with a respective of the plurality of DIMM slots. The BMC is adapted to determine a DIMM population rule for populating the plurality of DIMM slots based on information relating to at least one DIMM, and the visual indicators are adapted to visually indicate a DIMM slot amongst the plurality of DIMM slots to which the at least one DIMM is to be installed in accordance with the DIMM population rule.

Abstract: Provided are certain BTK inhibitors, pharmaceutical compositions thereof, and methods of use thereof.

Abstract: Provided are certain RET inhibitors, pharmaceutical compositions thereof, and methods of use thereof.

Abstract: Provided are certain TRK inhibitors, pharmaceutical compositions thereof, and methods of use thereof.

Abstract: Systems and methods of automated machine learning for modeling a data set according to a modeling intent are presented. A modeling service receives a data set from a submitting party as well as a set of constraints. A pipeline generator generates a set of pipelines according to a modeling intent of a data set and in view of the set of constraints. A machine learned trained judge conducts an analysis of the pipelines to identify an optimal pipeline to train. Optimal results are generated according to the optimal pipeline and the optimal results are provided to the submitting party in response to receiving the data set and constraints.

Abstract: Provided are compounds of Formula (I), or pharmaceutically acceptable salts thereof, pharmaceutical compositions comprising these compounds thereof, and use of these compounds in preparing drugs for inhibiting ROCK.

Abstract: A mainboard includes a baseboard management controller (BMC), a plurality of dual in-line memory module (DIMM) slots, and a plurality of visual indicators each associated with a respective of the plurality of DIMM slots. The BMC is adapted to determine a DIMM population rule for populating the plurality of DIMM slots based on information relating to at least one DIMM, and the visual indicators are adapted to visually indicate a DIMM slot amongst the plurality of DIMM slots to which the at least one DIMM is to be installed in accordance with the DIMM population rule.

Abstract: Systems and methods of automated machine learning for modeling a data set according to a modeling intent are presented. A modeling service receives a data set from a submitting party as well as a set of constraints. A pipeline generator generates a set of pipelines according to a modeling intent of a data set and in view of the set of constraints. A machine learned trained judge conducts an analysis of the pipelines to identify an optimal pipeline to train. Optimal results are generated according to the optimal pipeline and the optimal results are provided to the submitting party in response to receiving the data set and constraints.

Abstract: Systems and methods of generating recipes for modeling data sets are presented. Based on a corpus of a plurality of recipes for modeling data sets, an analysis is made. The analysis is conducted on the plurality of recipes in light of a corresponding plurality of modeling metrics, resulting in the identification of performance bases of the processing steps of the plurality of recipes. A determination of a new recipe, not already included in the corpus of recipes, is made. The determination is made according to the identifies bases, the new recipe comprising a plurality of processing steps for processing the data set. A pipeline generated for the new recipe is obtained and submitted to a trained judge for evaluation. Predicted results for the new recipe is obtained from the trained judge and the recipe and predicted results are stored in the corpus of recipes.

Abstract: Workers are trained and assisted to improve quality of task results generated by them. Initially, workers seeking to perform intelligence tasks within the context of a crowdsourcing system are provided with offline training. Subsequently, workers are qualified, with different nuances of the performance of intelligence tasks being assessed independently. A task owner specifies minimum quality thresholds, including separately specified thresholds for different nuances. Qualified workers are assigned to perform intelligence tasks, thereby producing useful work. While doing so, their quality is monitored, and online training is provided to aid workers with specific nuances of the intelligence tasks where the workers' performance is suboptimal. Workers whose quality drops below minimum quality thresholds are aided in improving their quality, including being prevented from performing intelligence tasks for a predefined period of time, being mandated to perform offline training, or combinations thereof.

Abstract: Different options associated with the performance of intelligence tasks are flighted. Different versions of applications that provide the context within which intelligence tasks are performed are sourced for each of the different combinations of options. Subsets of the human workers are selected and provided such different versions of such applications. Correlations are made between those applications that were selected by individual workers and the options that such applications represented, and further between intelligence task results, including, optionally, an evaluation of the quality of such task results, and such options. Options, and the settings thereof, which affect and optimize the intelligence task results generated by workers, are, thereby, more efficiently identified.

Abstract: Reference intelligence tasks are automatically generated for subsequent utilization in crowdsourced processing of intelligence tasks. Reference intelligence tasks are categorized into predetermined categories, including categories defined by an intended utilization of such intelligence tasks. A trusted set of workers are provided with intelligence tasks and, if a specified number of those trusted workers reach consensus as to what is an appropriate answer, then such an answer is a definitive answer. Conversely, if no consensus is initially reached, then additional trusted workers can be utilized to determine if, in combination, consensus can be reached. To frame categorization considerations by the trusted set of workers, they are provided with statistics relevant to categorizations. An automatic category assignment, or reassignment, can be performed if necessary.