Abstract: The subject technology generates, by a database system, cell data for a particular table based on values from a source table, the values being based on raw input data, the source table comprising multiple rows and multiple columns, the raw input data comprising values in a first format, the values comprising input features corresponding to datasets included in the raw input data for machine learning models, the source table being provided by an external environment, the external environment comprising an external system from the database system. The subject technology performs a database operation to generate the particular table including table metadata, column metadata, and the generated cell data, the generated particular table comprising a second format that causes more efficient processing of data by the database system using a single query on the particular table compared to processing the raw input data from the source table.

Abstract: The subject technology receives by a database system, raw input data from a source table provided by an external environment, the source table comprising multiple rows and multiple columns, the raw input data comprising values in a first format, the values comprising input features corresponding to datasets included in the raw input data for machine learning models, the external environment comprising an external system from the database system and is accessed by different users. The subject technology generates cell data for a second table based on the values from the source table. The subject technology performs a database operation to generate the second table including table metadata, column metadata, and the generated cell data.

Abstract: The subject technology receives by a database system, raw input data from a source table provided by an external environment, the source table comprising multiple rows and multiple columns, the raw input data comprising values in a first format, the values comprising input features corresponding to datasets included in the raw input data for machine learning models, the external environment comprising an external system from the database system and is accessed by different users. The subject technology generates cell data for a second table based on the values from the source table. The subject technology performs a database operation to generate the second table including table metadata, column metadata, and the generated cell data.

Abstract: The subject technology receives, by a database system, raw input data from a source table provided by a machine learning development environment, the source table comprising multiple rows where each row includes multiple columns, the raw input data comprising values in a first format, the values comprising input features corresponding to datasets included in the raw input data for machine learning models, the machine learning development environment comprising an external system from the database system and is accessed by a plurality of different users that are external to the database system. The subject technology generates cell data for a feature store table based at least in part on the values from the source table. The subject technology performs at least one database operation to generate the feature store table including at least table metadata, column metadata, and the generated cell data.

Abstract: The subject technology receives, by a database system, raw input data from a source table provided by a machine learning development environment, the source table comprising multiple rows where each row includes multiple columns, the raw input data comprising values in a first format, the values comprising input features corresponding to datasets included in the raw input data for machine learning models, the machine learning development environment comprising an external system from the database system and is accessed by a plurality of different users that are external to the database system. The subject technology generates cell data for a feature store table based at least in part on the values from the source table. The subject technology performs at least one database operation to generate the feature store table including at least table metadata, column metadata, and the generated cell data.

Abstract: The subject technology receives raw input data from a source table, the raw input data including data comprising input features for a machine learning model, the raw input data being in a first format including at least multiple rows with each row including multiple columns of values. Based at least in part on the source table, the subject technology generates table metadata corresponding to the source table. Based at least in part on the received raw input data, the subject technology generates column metadata corresponding to values from the source table. The subject technology generates cell data for a feature store table based at least in part on the values from the source table. The subject technology performs at least one database operation to generate the feature store table including at least the generated table metadata, the generated column metadata, and the generated cell data.

Abstract: An external rearview device for a motor vehicle includes a base assembly provided for arrangement on the motor vehicle; a head assembly configured to be attached to the base assembly; rearview means including at least one of a camera unit and a reflective element secured within the head assembly, the head assembly configured to be detachable and selected from a set comprising a first head assembly with a first rearview means including at least one reflective element and a second head assembly with a second rearview means including at least one reflective element, and a camera unit configured to obtain a rearview image through the reflective element, and a third head assembly with a third rearview means including the camera unit.

Abstract: A rear view device for a motor vehicle includes a base assembly for arrangement on the motor vehicle, a moveable head assembly attached to the base assembly, and an actuation mechanism, the actuation mechanism including a fixed part attached to the base assembly and a moveable part attached to the head assembly, where the actuation mechanism allows movement of the moveable part with respect to the fixed part in one or more axes.

Abstract: A multifunction lamp unit for a vehicle includes a housing, at least one light pipe together with at least one light source disposed at least partially within the housing, and a clear lens substantially enclosing the housing, the at least one light pipe and the at least one light source, the lens having an inner surface, an outer surface disposed opposite the inner surface and at least one of a continuous transparent and translucent coating on the outer surface.

Abstract: An external rearview device for a motor vehicle includes a base assembly provided for arrangement on the motor vehicle; a head assembly configured to be attached to the base assembly; rearview means including at least one of a camera unit and a reflective element secured within the head assembly, the head assembly configured to be detachable and selected from a set comprising a first head assembly with a first rearview means including at least one reflective element and a second head assembly with a second rearview means including at least one reflective element, and a camera unit configured to obtain a rearview image through the reflective element, and a third head assembly with a third rearview means including the camera unit.

Abstract: A multifunction lamp unit for a vehicle includes a housing, at least one light pipe together with at least one light source disposed at least partially within the housing, and a clear lens substantially enclosing the housing, the at least one light pipe and the at least one light source, the lens having an inner surface, an outer surface disposed opposite the inner surface and at least one of a continuous transparent and translucent coating on the outer surface.

Abstract: A rear view device for a motor vehicle includes a base assembly for arrangement on the motor vehicle, a moveable head assembly attached to the base assembly, and an actuation mechanism, the actuation mechanism including a fixed part attached to the base assembly and a moveable part attached to the head assembly, where the actuation mechanism allows movement of the moveable part with respect to the fixed part in one or more axes.

Abstract: Provides workflow systems and methods. A workflow system having a matchmaking unit for receiving a task query from a workflow, and a plurality of task definer units, each providing a definition of a task. The matchmaking unit communicates with the task definer units to evaluate the task definitions against the task query based on at least one property associated with each task definition and provides at least one of the task definitions to the workflow as offers based on the evaluation.

Abstract: Provides workflow systems and methods. A workflow system having a matchmaking unit for receiving a task query from a workflow, and a plurality of task definer units, each providing a definition of a task. The matchmaking unit communicates with the task definer units to evaluate the task definitions against the task query based on at least one property associated with each task definition and provides at least one of the task definitions to the workflow as offers based on the evaluation.

Abstract: A method of storing information relating to the transmission of messages by an entity over a given time period comprises the step of creating a signature comprising a plurality of parameters related to the transmission of messages over that time period wherein the parameters comprise at least one parameter related to the transmission of messages over a portion of the period and also related to the position of the portion in the period, to enable output data to be derived from the stored information. The signature may be updated by a weighted averaging process with other more recent signatures. Application in fraud detection where signature representing information in many call detail records from a particular subscriber is fed to a neural network.

Abstract: Provides workflow systems and methods. A workflow system having a matchmaking unit for receiving a task query from a workflow, and a plurality of task definer units, each providing a definition of a task. The matchmaking unit communicates with the task definer units to evaluate the task definitions against the task query based on at least one property associated with each task definition and provides at least one of the task definitions to the workflow as offers based on the evaluation.

Abstract: A method of processing data relating to a plurality of examples using a data classifier arranged to classify input data into one of a number of classes, and a rule inducer, comprising the steps of: (i) inputting a series of inputs to the data classifier so as to obtain a series of corresponding outputs; (ii) inputting said series of outputs and at least some of said series of inputs to the rule inducer so as to obtain a series of rules which describe relationships between the series of inputs to the data classifier and the series of corresponding outputs from the data classifier.

Abstract: An optical assembly, such as a multiple output diode laser pump source for EDFAs, is formed by pressing an optical array emitter chip against a standoff structure protruding from a submount such that the emitter chip deforms to match the curvature of the standoff structure. An IO chip is also juxtaposed against the standoff structure such that its optical receivers can receive optical energy from the emitter chip. The IO chip can provide various optical functions, and then provide an optical array output for coupling into an optical fiber array. The standoff structure preferably contacts the emitter chip over an aggregate contact area much smaller than the area by which the emitter chip overlaps the submount. The materials used for bonding the emitter chip and the IO chip to the submount are disposed in the recesses between standoffs and not on the contact surfaces of the standoff structure.

Abstract: A method of processing data relating to a plurality of examples using a data classifier arranged to classify input data into one of a number of classes, and a rule inducer, comprising the steps of: (i) inputting a series of inputs to the data classifier so as to obtain a series of corresponding outputs; (ii) inputting said series of outputs and at least some of said series of inputs to the rule inducer so as to obtain a series of rules which describe relationships between the series of inputs to the data classifier and the series of corresponding outputs from the data classifier.

Abstract: Virtual solution architecture for computer data systems. In one aspect, providing an architecture for a computer data system includes creating a virtual solution architecture that includes a plurality of building blocks, each building block characterized by balanced operation, and mapping the virtual solution architecture to a physical solution architecture for the computer data system. Another aspect includes providing at least one balanced configuration unit (BCU) in a computer data system, the BCU including at least one balanced partition unit (BPU) that includes computer resources to provide balanced operation for the BPU.