Abstract: Disclosed is a robot swimming pool cleaner, including a main body and a first driving wheel rotatably disposed on the main body; the main body is therein provided with a sealed compartment and a garbage bin; the sealed compartment is therein provided with a motor; an output shaft of the motor is provided with a first output gear; the first output gear is located out of the sealed compartment; and an inner side of the first driving wheel is provided with a first inner gear meshed with the first output gear. The first inner gear is provided on the inner side of the first driving wheel, the first output gear is provided on the output shaft of the motor, consequently, thereby improving the loading capacity of the garbage bin.

Abstract: The invention relates to an indole derivative shown in general formula (I-1) and its use in preparing drugs for preventing and/or treating indications of S1P receptor related disorders. The indole derivative of the invention is replaced by R1, R2, R5, and R6 at different sites respectively, and the obtained modified indole derivative has excellent biological activity and is an ideal S1P receptor regulator with high efficiency. Compounds of general formula (I-1) can be used to treat and/or prevent Crohn's disease, ulcerative colitis, psoriasis, rheumatoid arthritis, multiple sclerosis, atopic dermatitis, eosinophilic esophagitis, alopecia areata, primary cholangitis, pyoderma gangrenosum, graft-versus-host disease, amyotrophic lateral sclerosis, systemic lupus erythematosus, type I diabetes arteriosclerosis, atherosclerosis, scleroderma, autoimmune hepatitis, acne, microbial infection, viral infection, and other autoimmune and inflammatory diseases.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a feature configuration for a feature. Next, the system obtains, from the feature configuration, an anchor containing metadata for accessing the feature in an environment. The system then uses one or more attributes of the anchor to retrieve one or more feature values of the feature from the environment. Finally, the system provides the one or more feature values for use with one or more machine-learning models.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains a feature configuration for a feature. Next, the system obtains, from the feature configuration, an anchor containing metadata for accessing the feature in an environment. The system then uses one or more attributes of the anchor to retrieve one or more feature values of the feature from the environment. Finally, the system provides the one or more feature values for use with one or more machine-learning models.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains feature configurations for a set of features. Next, the system obtains, from the feature configurations, an anchor containing metadata for accessing a first feature in an environment and a feature derivation for generating a second feature from the first feature. The system then uses the anchor to retrieve feature values of the first feature from the environment and uses the feature derivation to generate additional feature values of the second feature from the feature values of the first feature. Finally, the system provides the additional feature values for use with one or more machine learning models.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains feature configurations for a set of features and a command for inspecting a data set that is produced using the feature configurations. Next, the system obtains, from the feature configurations, one or more anchors containing metadata for accessing the set of features in an environment and a join configuration for joining a feature with one or more additional features. The system then uses the anchors to retrieve feature values of the features and zips the feature values according to the join configuration without matching entity keys associated with the feature values. Finally, the system outputs the zipped feature values in response to the command.

Abstract: An optimizing compiler device, a method, a computer program product which are capable of performing parallelization of irregular reductions. The method for performing parallelization of irregular reductions includes receiving, at a compiler, a program and selecting, at compile time, at least one unit of work (UW) from the program, each UW configured to operate on at least one reduction operation, where at least one reduction operation in the UW operates on a reduction variable whose address is determinable when running the program at a run-time. At run time, for each successive current UW, a list of reduction operations accessed by that unit of work is recorded. Further, it is determined at run time whether reduction operations accessed by a current UW conflict with any reduction operations recorded as having been accessed by prior selected units of work, and assigning the unit of work as a conflict free unit of work (CFUW) when no conflicts are found.

Abstract: An optimizing compiler device, a method, a computer program product which are capable of performing parallelization of irregular reductions. The method for performing parallelization of irregular reductions includes receiving, at a compiler, a program and selecting, at compile time, at least one unit of work (UW) from the program, each UW configured to operate on at least one reduction operation, where at least one reduction operation in the UW operates on a reduction variable whose address is determinable when running the program at a run-time. At run time, for each successive current UW, a list of reduction operations accessed by that unit of work is recorded. Further, it is determined at run time whether reduction operations accessed by a current UW conflict with any reduction operations recorded as having been accessed by prior selected units of work, and assigning the unit of work as a conflict free unit of work (CFUW) when no conflicts are found.