Abstract: A 3D printer includes a nozzle configured to jet a drop of liquid metal therethrough. The 3D printer also includes a light source configured to illuminate the drop with a pulse of light. A duration of the pulse of light is from about 0.0001 seconds to about 0.1 seconds. The 3D printer also includes a camera configured to capture an image, video, or both of the drop. The 3D printer also includes a computing system configured to detect the drop in the image, the video, or both. The computing system is also configured to characterize the drop after the drop is detected. Characterizing the drop includes determining a size of the drop, a location of the drop, or both in the image, the video, or both.

Abstract: Systems and methods for a robot kitchen are described. In one embodiment, a computer-implemented method includes identifying a taste profile for a food item prepared by the robot kitchen. The taste profile includes a plurality of predetermined taste parameters. The computer-implemented method also includes generating a taste incidence for the food item by sensing a plurality of sensed taste parameters with a taste sensor module in contact with the food item. The plurality of sensed taste parameters corresponds to the plurality of predetermined taste parameters. The computer-implemented method further includes determining a taste differential by comparing predetermined taste parameters the plurality of predetermined taste parameters to corresponding sensed taste parameters of the plurality of sensed taste parameters. The computer-implemented method also includes calculating feedback for the food item based on the taste differential.

Abstract: The present invention discloses a continuous process for the synthesis of dimethyl carbonate from methanol and carbon dioxide over a ceria-based mixed metal oxide-silica catalyst formulation in the presence of a dehydrating or water trapping compound (2-Cyanopyridine).

Abstract: Disclosed herein are system, method, and computer program product embodiments for rapid identification and access to relevant regulatory documents. A data model relating regulatory mandates and requirements to citations appearing within an enforcement document is used to rapidly access specific citations within an enforcement document. In the case of image-based enforcement documents, the originality of these documents is preserved while allowing a user to see where the relevant citations appear in the document images. The relevant citations are further compared to business policies to identify potential impacts of regulatory mandates and requirements.

Abstract: A method for selecting a Public Land Mobile Network (PLMN) in a wireless communication system by a User Equipment (UE), the method includes detecting, by the UE, that the UE is operating in an interworking mode, triggering, by the UE, a manual scan in the interworking mode for acquiring a list of PLMNs in the wireless communication system, and causing, by the UE, a display to output the list of PLMNs in response to the triggering.

Abstract: A resource allocation engine distributes host resources, such as CPU cores, dynamically between a set of containers executing in the context of the host operating system. The resource allocation engine sets a lower limit on CPU allocation for each container to prevent the containers from being starved of CPU resources. The resource allocation engine monitors the utilization of the resources allocated to the containers, and redistributes the host resources dynamically among the containers based on the utilization values. Containers having high utilization values are assigned more resources correspondingly, and containers having low utilization values are assigned fewer resources. In some embodiments, the resource allocation engine assigns weights to the containers, and uses the weights to assign CPU resources for an upcoming assignment period. An operating system utility, such as C-groups, is used to implement the resource allocations to the containers for the assignment periods.

Abstract: Techniques described herein are directed toward smart external interference detection and avoidance. An example method includes determining a first received signal strength indicator (RSSI) value of a received first signal across a radio band, wherein the first RSSI value is based at least in part on a second signal transmitted by an interfering device. The first received RSSI value is compared with a threshold value. A first gain adjustment value is determined for a receiver chain of the first computing device and a second gain adjustment value of a transmitter chain based at least in part on the comparison. A first gain of a first amplifier of the receiver chain is adjusted based at least in part on the first gain adjustment value. A second gain of a second amplifier of the transmitter chain is adjusted based at least in part on the second gain adjustment value.

Abstract: Embodiments disclosed herein determine when a sensor of an electronic device is being used, determine if a transmitter of the electronic device is transmitting a signal, determine whether the signal has a frequency in the certain frequency bands (e.g., that cause noise at the sensor), and reduce power (e.g., perform a power back-off operation) at the transmitter if so.

Abstract: A method or system for estimating delays in design under tests (DUTs) using machine learning. The system accesses multiple DUTs, each comprising various logic blocks. For each DUT, a combinatorial path is identified, connecting one or more logic blocks. A feature vector is generated, including values of orthogonal features representing the combinatorial path's characteristics. Each DUT is compiled for emulation, and the delay of its combinatorial path is measured. These measured delays, along with the corresponding feature vectors, are used to train a machine learning delay model. The trained model is designed to receive a combinatorial path of a DUT as input and generate an estimated wire delay as output. This approach leverages machine learning to predict delays in electronic designs, improving the efficiency and accuracy of delay estimations in complex circuits.

Abstract: Embodiments are presented herein of apparatuses, processors, systems, and methods for performing Quality of Service handling procedures. A wireless device may establish a cellular link that provides access to a fifth generation core network. The wireless device may establish a protocol data unit session with a cellular network entity of the fifth generation core network. The wireless device may determine one or more Quality of Service flow descriptions for the protocol data unit session. The wireless device may perform one or more Quality of Service related modifications to the protocol data unit session.

Abstract: Disclosed herein are system, method, and computer program product embodiments for categorizing customer complaints on social media using a model trained on customer voice calls or chats with agents. Additionally, users interested in monitoring regulatory compliance issues based on customer complaints can receive notifications regarding complaints that are linked to regulatory topic areas, without the need to manually scan vast numbers of social media postings.

Abstract: In an aspect, a method performed at a server includes: receiving an electronic message indicating an expected transfer, the message indicating at least a quantity of resources associated with the expected transfer and a value date associated with the expected transfer; detecting a trigger condition associated with the expected transfer; in response to detecting the trigger condition associated with the expected transfer, determining whether a transfer associated with the expected transfer has been made; and in response to determining that the expected transfer has not been made, providing a notification to a client device associated with a recipient of the expected transfer.

Abstract: A monitoring service monitors performance of an authentication application that authenticates a user or service and securely communicates a status of the authentication application to a service application providing a software service. The monitoring service generates a token using a private key. The token is stored in a secure datastore writable only by the monitoring service and is also provided to the service application. The service application validates a signature of the token using a public key and determines an authenticity of the token by comparing the received token to the stored token in the secure datastore. In doing so, there is a high degree of confidence that the token, or an associated encrypted message, originated from the monitoring service and properly identifies the status of the authentication application.

Abstract: This disclosure describes systems, methods, and computer-readable media related to mobile device purchase flows. In some embodiments, a mobile device may obtain a uniform resource identifier (URI). The mobile device may launch a browser based at least in part on the URI. The mobile device may submit a first set of data to a server based at least in part on the URI and receive a re-direct URI. The mobile device may launch an application in response to receiving the re-direct URI from the server, wherein the application submits a second set of data to the server. The mobile device may facilitate completion of a transaction by the application based at least in part on matching the first set of data and the second set of data at the server.

Abstract: In one embodiment, a method includes identifying a problematic event between a first interest point and a second interest point of a network and activating, in response to identifying the problematic event between the first interest point and the second interest point, a first endpoint associated with the first interest point and a second endpoint associated with the second interest point. The method also includes receiving, from the first endpoint and the second endpoint, telemetry data associated with a problematic path between the first interest point and the second interest point. The method further includes determining the problematic path between the first interest point and the second interest point using the telemetry data received from the first endpoint and the second endpoint.

Abstract: A method of predicting a lifetime of a gas filling of an electrical switchgear is disclosed, wherein pressure values p1, p2 in a system of the electrical switchgear containing the gas filling at a predefined temperature Tp at different points in time t1, t2 are measured. Based on the pressure difference ?p between the pressure values p1, p2 the lifetime of the gas filling is calculated. Alternatively, the pressure values p1, p2 can be taken at temperatures T1, T2 within a predefined temperature range at different points in time t1, t2.

Abstract: A receiver may receive a plurality of data streams from a transmitter, each data stream of the plurality of data streams including at least one data stream, rank at least a subset of the plurality of data streams based on a metric that is based on a number of ACKs associated with each data stream, and transmit at least one subset of ACKs for the subset of data streams, wherein each subset of ACKs of the at least one subset of ACKs indicates a plurality of ACKs for a subset of packets of the subset of data streams. The rank of at least the subset of the plurality of data streams is generated based at least in part on an estimated number of ACKs for each data stream of the plurality of data streams.

Abstract: A technique for rendering an under-vehicle view including obtaining a first location of a vehicle, the vehicle having a set of cameras disposed about the vehicle, capturing a set of images; storing images of the set of images in a memory, wherein the images are associated with a time the images were captured, moving the vehicle to a second location, obtaining the second location of the vehicle, determining an amount of time for moving the vehicle from the first location to the second location, generating a set of motion data, the motion data indicating a relationship between the second location of the vehicle and the first location of the vehicle, obtaining one or more stored images from the memory based on the determined amount of time, rendering a view under the vehicle based on the one or more stored images and set of motion data, and outputting the rendered view.

Abstract: A computer-implemented method for training a neural network to predict object categories without manual annotation is provided. The method includes feeding training datasets including at least images and data annotations to an object detection neural network, converting, by a text prompter, the data annotations into natural text inputs, converting, by a text embedder, the natural text inputs into embeddings, minimizing objective functions during training to adjust parameters of the object detection neural network, and predicting, by the object detection neural network, objects within images and videos.

Abstract: Systems and methods for curation of content, such as e-learning content or online instructional materials, according to particular criteria such as the amount of pictorial representations contained therein, the amount of verbal expression contained therein, and whether the content contains a summary. Other criteria may also be employed. Users may select any one or more of these and other criteria. Content is then sorted according to the selected criteria and presented as an ordered list of content that users can select for viewing.