Abstract: System for controlling a marine vessel comprising a number of devices, the devices including a number of power generators and consumers, further comprising sensors for monitoring the activity of the devices. The system including at least one processor calculating device score values of the devices and a control unit connected to said devices and being configured to calculate an efficiency score value based on said device score values. The efficiency score value defining the efficiency of the system. The system also calculates the redundancy of the system based on the operation mode and/or load of the devices, and a redundancy margin index indicating the redundancy of the system devices, according to predetermined scores for each operation mode and computing the efficiency and redundancy values.

Abstract: The present disclosure relates to a method for producing a field-effect transistor, FET, structure (10, 10?, 10?, 10??).

Abstract: An example implementation may involve: obtaining state information characterizing a software application, wherein the state information indicates a plurality of use states of the software application; identifying a current use state of the plurality of use states; determining, based on the state information and the current use state, an activity to perform via the software application or a further software application; and providing a message including the activity.

Abstract: An online concierge system receives information describing the progress of a picker servicing a batch of existing orders and predicts a first likelihood the picker will finish servicing the batch within a threshold amount of time based on the picker's progress and information describing the batch. If the first likelihood exceeds a threshold likelihood, the system accesses a machine learning model trained to predict a second likelihood the picker will accept a batch of new orders for servicing while servicing the batch of existing orders. The system applies the model to inputs including a set of attributes of the picker and the picker's progress to predict the second likelihood. The system matches batches of new orders with pickers based on the second likelihood and sends one or more requests to service one or more batches matched with the picker to a client device associated with the picker.

Abstract: A method of printing an internal bridge in a three-dimensional object includes depositing a plurality of drops of a printing material in a first direction to form a supported stepout onto an edge of a bridging layer, depositing a plurality of drops of the printing material to form an anchor layer adjacent to and in contact with a supported stepout, and depositing a plurality of drops of the printing material to form an unsupported stepout adjacent to an in contact with the supported stepout. A printing system for three-dimensional objects is also described, which is configured to perform the method of printing an internal bridge in a three-dimensional object.

Abstract: This disclosure provides methods, components, devices and systems for interference reduction between wireless communication devices of overlapping basic service sets (OBSSs). Some aspects more specifically relate to signaling mechanisms associated with an OBSS channel sounding operation and power control mechanisms associated with OBSS interference mitigation, either or both of which a first access point (AP) associated with a first basic service set (BSS) may leverage as part of a coordinated beamforming scheme with a second AP associated with a second BSS. In accordance with OBSS channel sounding, the first AP may associate a set of sounding packets with one or more parameters indicative of the second BSS such that the sounding packets appear, to OBSS stations (STAs), as in-BSS sounding packets. Additionally, or alternatively, the first AP may employ a power control mechanism according to which the first AP may apply portion-by-portion transmission power control.

Abstract: The disclosure relates to a CFET device (100) comprising: a bottom FET device (130) and a top FET device (140) stacked on top of the bottom FET device (130), the bottom FET device (130) comprising a bottom channel nanostructure (132) and a bottom gate electrode (134) comprising a side gate portion (134a) arranged along a first side surface (132a) of the bottom channel nano structure, and the top FET device (140) comprising a top channel nanosheet (142) and a top gate electrode (144) configured to define a tri-gate with respect to the top channel nanosheet and comprising a side gate portion (144b) arranged along a second side surface (142b) of the top channel nanosheet, wherein the side gate portion (134a) of the bottom gate electrode (134) defines a via contact portion protruding outside the top gate electrode (144) and the first side surface (142a) of the top channel nanosheet (142); and atop gate contact via (146) for coupling the top gate electrode (144) to a first conductive line (124) over the top FET de

Abstract: Methods, systems, and devices for wireless communications are described. Techniques described herein provide for passive beamforming for Wi-Fi. A first wireless device communicating in an active session via a first bandwidth with a second wireless device may use a passive beamforming technique to identify a transmission sector of the second wireless device and/or a receive sector for communications on a second bandwidth, while the first wireless device is in an inactive session state for the second bandwidth. The second wireless device may transmit beacons in the second bandwidth via directional transmission sectors while the first wireless device is in the inactive session state for the second bandwidth. The first wireless device may receive the beacons and may select a transmission sector based on the beacons. The first wireless device may indicate the selected transmission sector to the second wireless device. The first wireless device may select a receive sector based on the beacons.

Abstract: In one aspect, a cloud architecture comprises one or more servers that are configured to implement a user computing environment, at least one object storage configured to store a plurality of assets that are deployable in the user computing environment, and an assembly service. The assembly service is configured to receive a query for at least one asset of the plurality of assets, return information associated with the at least one asset responsive to the query, and receive a deployment blueprint that defines a deployment of the at least one asset in the user computing environment and at least one executable script for deploying the at least one asset, where the deployment blueprint is defined based on the information provided and includes a link to the at least one executable script. The assembly service is further configured to store the deployment blueprint in the at least one object storage.

Abstract: Systems and methods for training a Generative Adversarial Network (GAN) using feature regularization are described herein. Embodiments are configured to generate a candidate image using a generator network of a GAN, classify the candidate image as real or generated using a discriminator network of the GAN, and train the GAN to generate realistic images based on the classifying of the candidate image. The training process includes regularizing a gradient with respect to features extracted using a discriminator network of the GAN.

Abstract: An online concierge system receives information describing the progress of a picker servicing a batch of existing orders and a service request for an order. The system identifies picker attributes of the picker and order attributes of the order and each existing order of the set and accesses a machine learning model trained to predict a likelihood the picker will accept an add-on request to add the order to the batch of existing orders. To predict the likelihood, the system applies the model to the picker attributes, the progress of the picker, and the order attributes. The system determines a cost associated with sending the add-on request to the picker based on the likelihood and assigns the order to a set of orders based on the cost. The system sends the add-on request to the picker responsive to determining the order is assigned to the batch of existing orders.

Abstract: Routines are used to connect bot queries entered via a bot interface and database queries executed on a database. Each routine is associated with routine configurations, including (a) query attributes associated with bot queries that trigger the routine, (2) a database query executed or to be executed for the routine, and/or (3) display settings for displaying information returned from the database query in a bot response. Each routine is configured to generate an output structured data object (SDO) indicating information returned from the database query and the display settings applicable to the information. The output SDOs from the various routines are transmitted to the bot application via a single API endpoint. The routine configurations are entered by a design user through one or more design user interfaces rendered by an integrative configuration application module.

Abstract: In one embodiment, a device obtains sensor data captured by one or more sensors deployed in a washroom, the sensor data comprising audio signals. The device identifies, using the sensor data as input to one or more machine learning-based classifiers, one or more events associated with a user of the washroom. The device makes a decision as whether the one or more events comply with a hand hygiene protocol. The device provides data indicative of the decision for presentation to the user.

Abstract: A method of operating a three-dimensional (3D) metal object manufacturing apparatus selects operational parameters for operation of the printer to form conductive metal traces on substrates with dimensions within appropriate tolerances and with sufficient conductive material to carry electrical currents without burning up or becoming too hot. The method identifies the material of the substrate and the bulk metal being melted for ejection and uses this identification data to select the operational parameters. Thus, the method can form conductive traces and circuits on a wide range of substrate materials including polymeric substrates, semiconductor materials, oxide layers on semiconductor materials, glass, and other crystalline materials.

Abstract: A method, system and non-transitory computer-readable medium for automated reconstruction of an application. The method, the system, and the non-transitory computer-readable medium cause a processor: receive a workflow that comprises a sequence of microservice operations that correspond to the application; transfer, from a current host platform that is associated with the application, to a backup memory, a copy of an active database that is associated with the application; deactivate the active database from the current host platform; rebuild an operating system of the application; remove a pre-build configuration of the application; install a recovery mode of the application on the current host platform; deploy a post-build configuration of the application; perform a quality assurance process that comprises validating the post-build configuration of the application; and transfer from the backup memory to the current host platform, the copy of the active database.

Abstract: In implementations of systems for human reposing based on multiple input views, a computing device implements a reposing system to receive input data describing: input digital images; pluralities of keypoints corresponding to the input digital images, the pluralities of keypoints representing poses of a person depicted in the input digital images; and a plurality of keypoints representing a target pose. The reposing system generates selection masks corresponding to the input digital images by processing the input data using a machine learning model. The selection masks represent likelihoods of spatial correspondence between pixels of an output digital image and portions of the input digital images. The reposing system generates the output digital image depicting the person in the target pose for display in a user interface based on the selection masks and the input data.

Abstract: A method for performance management is provided. The method includes receiving information to determine a location of a host platform. The method further comprises receiving information on a compliance policy comprising a list of countries and a list of semiconductor-tor devices. Additionally, the method comprises throttling a performance of a semiconductor-tor device associated with the host platform based on the information on the compliance policy if the semiconductor device is within the list of semiconductor devices and if the location of the host platform matches with a country within the list of the countries.

Abstract: Systems and methods for image processing are described. One aspect of the systems and methods includes receiving a plurality of images comprising a first image depicting a first body part and a second image depicting a second body part and encoding, using a texture encoder, the first image and the second image to obtain a first texture embedding and a second texture embedding, respectively. Then, a composite image is generated using a generative decoder, the composite image depicting the first body part and the second body part based on the first texture embedding and the second texture embedding.

Abstract: The present invention relates to a method for predicting outcome of a process used for manufacturing a sample in a bioreactor, the process belonging to a category. The method comprises selecting (51) a process model based on the category; accessing (53) historic data related to past process runs for manufacturing the sample; accessing (53) current data obtained (54) from a current process run of the process. The obtained current data, which is based on the selected process model, comprises: process strategy data, bioreactor instrument data, data from online sensors and/or data from offline sensors. The method further comprises predicting (62) an outcome of at least one selected parameter of the current process run for manufacturing the sample based on the accessed historic data and current data. The present invention also relates to a method for modelling a process and a control system (10) for controlling a process.

Abstract: A method of forming a three-dimensional part is disclosed, including ejecting one or more drops of a print material at a first frequency to form a portion of a three-dimensional part. The method also includes ejecting one or more drops of the print material at a first line spacing, creating an unsupported overhang onto the three-dimensional printed part where the unsupported overhang is oriented at an angle of from 0 degrees to about 45 degrees relative to a print bed, and ejecting one or more drops of the print material at a second line spacing when creating at least a portion of the unsupported overhang. The method of forming a three-dimensional part further includes where drops are ejected at a first drop spacing when ejected at the first line spacing or at the second line spacing, and no portion of the unsupported overhang contacts the print bed.