Abstract: Improved artificial intelligence computer systems actively and/or passively provide end-users with information from firm data systems to help the end-user perform the end-user's job functions. In a passive implementation, the system can prioritize emails for a user, craft consistent responses to multiple email inquiries on the same topic, craft responses whose content is drawn from a library of electronic documents, and/or suggest text for an electronic document being authored by the end-user. In an active implementation, the system comprises AI agents associated with individual databases of the system, where the AI agents are tuned to retrieve data from their associated database in response to a query from the end-user.

Abstract: Disclosed aspects include computer-implemented method for preventing Carpal Tunnel Syndrome (CTS), a computer program product, and a laptop computer. One embodiment of the method may comprise collecting, by a device having an associated keyboard, data of a user's interaction with the keyboard. The method may further comprise analyzing, by a first machine learning model, the audiovisual data to identify ergonomic issues in the user's interaction with the keyboard. The method may further comprise notifying the user of the identified ergonomic issues in real time.

Abstract: Provided herein are novel lipase inhibitors and methods for using the same to treat inflammation, multisystem organ failure, necrotic pancreatic acinar cell death, acute pancreatitis, sepsis (e.g., culture negative sepsis), burns, and acne. For example, provided herein are two novel lipase inhibitors useful in the methods described herein: or a pharmaceutically acceptable salt thereof.

Abstract: An adjustable length strut includes two joints, a threaded rod extending between the joints, and a tube adapted to receive the threaded rod. An actuation mechanism with gear teeth extending radially outward of the strut axis is rotatably fixed to the threaded rod. A protrusion may be coupled to an end of the threaded rod by a rotatable collar, with the protrusion extending through a slot in the tube to mark the length of the strut. A modular attachment member may be adapted to be couple to the first joint and include a worm gear adapted to engage gear teeth of the actuation mechanism. The modular attachment member may include a radiofrequency identity tag mechanism adapted to be read by a tag reader of a tool, the tool adapted to couple to the attachment member to rotate the worm gear to increase or decrease the effective length of the strut.

Abstract: A method for maintaining a measure of accumulated energy delivered to an appliance includes a supervisor repeatedly receiving from a first smart socket a measure of energy delivered to the appliance by the first smart socket and maintaining a measure of accumulated energy delivered to the appliance. When the first smart socket fails and is replaced, the method includes repeatedly receiving from the second smart socket a measure of energy delivered to the appliance by the second smart socket, maintaining the measure of accumulated energy delivered to the appliance based at least in part on the measures previously received from the first smart socket and the measures repeatedly received from the second smart socket of energy delivered to the appliance by the second smart socket, and displaying the measure of accumulated energy delivered to the appliance on a dashboard.

Abstract: It is provided an apparatus comprising interface circuitry, machine-readable instructions, and processing circuitry to execute the machine-readable instructions. The machine-readable instructions comprise instructions to receive a request of a virtual machine to access a resource of a network node, determine whether a number of available virtual functions associated to the resource falls below a predefined threshold and, if it is determined that the number of available virtual functions falls below the predefined threshold, emulate and/or para virtualize a physical function associated to the resource. The machine-readable instructions further comprise instructions to provide access to the resource via the emulated and/or para virtualized physical function for the virtual machine.

Abstract: Energy consumption may be reduced by tracking a measure of baseline energy over time in order to determine which of the one or more appliances have a power on mode and a power standby mode based at least in part on the measure of baseline energy delivered to each of the appliances during the baseline time period, wherein the power standby mode consumes less power than the power on mode. During subsequent operation, the supervisor identifies when an appliance is in a power standby mode, and turns off the socket receptacles of the smart sockets that corresponds to those appliances identified as being in their power standby mode.

Abstract: For each discovered smart socket, the smart socket is automatically added to a supervisor database and a predetermined set of two or more objects for the smart socket are automatically added to the supervisor database. One or more predetermined alarm extensions are automatically added to predetermined ones of the two or more objects of the smart socket in the supervisor database. One or more predetermined history extensions are automatically added to predetermined ones of the two or more objects of the smart socket in the supervisor database. Predetermined ones of the two or more objects and/or extensions of each of the discovered smart sockets are automatically mapped to a predetermined dashboard.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify two-dimensional images via scene-based editing using three-dimensional representations of the two-dimensional images. For instance, in one or more embodiments, the disclosed systems utilize three-dimensional representations of two-dimensional images to generate and modify shadows in the two-dimensional images according to various shadow maps. Additionally, the disclosed systems utilize three-dimensional representations of two-dimensional images to modify humans in the two-dimensional images. The disclosed systems also utilize three-dimensional representations of two-dimensional images to provide scene scale estimation via scale fields of the two-dimensional images. In some embodiments, the disclosed systems utilizes three-dimensional representations of two-dimensional images to generate and visualize 3D planar surfaces for modifying objects in two-dimensional images.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify two-dimensional images via scene-based editing using three-dimensional representations of the two-dimensional images. For instance, in one or more embodiments, the disclosed systems utilize three-dimensional representations of two-dimensional images to generate and modify shadows in the two-dimensional images according to various shadow maps. Additionally, the disclosed systems utilize three-dimensional representations of two-dimensional images to modify humans in the two-dimensional images. The disclosed systems also utilize three-dimensional representations of two-dimensional images to provide scene scale estimation via scale fields of the two-dimensional images. In some embodiments, the disclosed systems utilizes three-dimensional representations of two-dimensional images to generate and visualize 3D planar surfaces for modifying objects in two-dimensional images.

Abstract: As described herein, a system, method, and computer program are provided for proactive 5G leg estimation. During an initial access procedure by a user equipment on a 4G leg of a 4G-LTE network, an eNodeB of the 4G-LTE network computes a parameter for the user equipment. Further, the eNodeB of the 4G-LTE network conditionally allows an addition of a 5G leg to the 4G-LTE network for the user equipment, based on the parameter computed for the user equipment.

Abstract: Systems and methods are directed to automatically creating customized whiteboard backgrounds. A network system accesses metadata associated with a virtual presentation (e.g., title, topic, tenant identifier). First image data is identified based on first data of the metadata and second image data is identified based on second data of the metadata. Using the first image data and the second image data, the network system generates a plurality of whiteboard backgrounds by combining a first object obtained from the first image data with a second object obtained from the second image data to form each whiteboard background. The network system then causes presentation of a representation of each of the plurality of whiteboard backgrounds on a user interface of a host, who can select one of the representations. In response to receiving a selection, a whiteboard background corresponding to the selected representation is displayed as background on a whiteboard canvas.

Abstract: Various embodiments disclose a glow plug for a solid oxide fuel cell system. The glow plug includes a housing having a first end portion and a second end portion. The glow plug includes a heating element longitudinally disposed in the housing, extending from the second end portion of the housing towards the first end portion and extending outwardly from the housing for igniting fuel. Further, the glow plug includes a pair of coiled wires electrically connected to the heating element. Further, the glow plug includes a potting compound disposed within the second end portion of the housing for securing electrical coupling of the pair of coiled wires with the heating element. Furthermore, the glow plug includes a sealing element configured to form an air-tight connection between the housing and the heating element. The sealing element is positioned on top of the potting compound.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

Abstract: An image generation system implements a multi-branch GAN to generate images that each express visually similar content in a different modality. A generator portion of the multi-branch GAN includes multiple branches that are each tasked with generating one of the different modalities. A discriminator portion of the multi-branch GAN includes multiple fidelity discriminators, one for each of the generator branches, and a consistency discriminator, which constrains the outputs generated by the different generator branches to appear visually similar to one another. During training, outputs from each of the fidelity discriminators and the consistency discriminator are used to compute a non-saturating GAN loss. The non-saturating GAN loss is used to refine parameters of the multi-branch GAN during training until model convergence. The trained multi-branch GAN generates multiple images from a single input, where each of the multiple images depicts visually similar content expressed in a different modality.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

Abstract: Methods, systems, and devices for extremely high throughput (EHT) and high frequency bandwidth (BW) support indication are described. A first wireless device may establish a wireless communication link with a second wireless device, receive, from the second wireless device, a first message, and transmit a second message to the second wireless device. The first message may indicate that the second wireless device is capable of communicating using a first physical layer (PHY) mode having a first latency below a first threshold and a first BW associated with a throughput having a second latency below a second threshold. The second message may similarly indicate whether the first wireless device is capable of communicating using the first PHY mode and the first BW. The first wireless device may select a second PHY mode and a second BW for communicating data with the second wireless device based on receiving the first message.