Abstract: A method for multi-instance learning (MIL)-based classification of a streaming input is described. The method includes running a first biased MIL model using extracted features from a subset of instances received in the streaming input to obtain a first classification result. The method also includes running a second biased MIL model using the extracted features to obtain a second classification result. The first biased MIL model is biased opposite the second biased MIL model. The method further includes classifying the streaming input based on the classification results of the first biased MIL model and the second biased MIL model.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. Methods and systems for handling network slice admission control for User Equipment (UE) are provided. The disclosure relates to network slicing and more particularly, to a system and method of ensuring that a communication system is able to accurately enforce quota on the maximum number of UEs concurrently registering for a network slice defined by a Single Network Slice Selection Assistance Information (S-NSSAI). The disclosure describes how the limits of “Number of Terminals” configured for an S-NSSAI may be accurately maintained in a Network Slice Admission Control Function (NSACF), and thus the enforcement may be performed when the limit is really exhausted. The disclosure also describes that a deregistration notification from a Unified Data Management (UDM) may act as a trigger for an old Mobility Management Function (AMF) to decrement counts in the NSACF as the old AMF is no longer serving the UE.

Abstract: Techniques are disclosed relating to handover of WLAN voice calls to one or more cellular networks. In some embodiments, a device is configured to perform voice communications over one or more wireless local area networks, communicate with a first network using a first cellular radio access technology (RAT), and communicate with a second network using a second cellular RAT. The device may store, based on communications via the first network, information indicating that the first network does not support voice communications for the apparatus. The device may handover a voice call from a wireless local network directly to the second cellular RAT, based on the stored information and without handover of the voice call to the first cellular RAT, based on call conditions on the wireless local area network.

Abstract: An artificial intelligence, AI, planning controller control the timing of when a plan (16) to accomplish a task (14) is synthesized. The AI planning controller in this regard determines a quiescent phase (20) during which values of at least some predicates describing a state of the system (12) will remain stable. The AI planning controller then controls artificial intelligence planning to synthesize the plan (16) during at least some of the quiescent phase (20).

Abstract: A computing system is provided, including a processor and memory storing instructions that cause the processor to execute a domain name service (DNS) log analyzer configured to identify a container identifier associated with a DNS request and a destination IP address associated with a DNS response to the DNS request, using one or more DNS logs, a fleet management system record analyzer configured to identify a first service associated with the container identifier and a second service associated with the destination IP address, using one or more fleet management system logs, and a dependency map generator configured to generate a service-to-service dependency map between the identified first service and the identified second service.

Abstract: Described herein are compounds that activate pyruvate kinase R, pharmaceutical compositions and methods of use thereof. These compounds are represented by Formula (I): wherein R1, R2, L1, and L2 are as defined herein.

Abstract: Compositions comprising the L complex or the M complex of the botulinum neurotoxin E with its associated neurotoxin binding protein(s) (NBP), methods of making, and methods of use to treat pain and wrinkles by injecting locally. Methods of making and isolating the L and M complex comprise a multi-step process of: providing a bacterial cultured media comprising the complex of botulinum neurotoxin E and neurotoxin binding proteins; centrifuging and pelletizing the cultured media; stirring the pelletized culture at 0 to 10° C. over a period of 4 to 24 hours; centrifuging the stirred solution to obtain a supernatant; precipitating the supernatant and filtering to obtain the precipitate; and dissolving the precipitate, centrifuging and filtering to obtain a solution comprising M complex and/or L complex of botulinum neurotoxin E and its NBP; and passing the solution through a functionalized sephadex ion exchange column to isolate the complex.

Abstract: A method, system, and article of manufacture provide for multi-user collaboration on a three-dimensional (3D) design. The 3D design is acquired in a computer-aided design (CAD) application. A commenting process for a comment to be associated with a selected part of the 3D design is activated. Textual user input for the comment is dynamically processed as the comment is received. The processing recognizes that the text relates to creating or modifying the selected part, retrieves a list of alternative parts (based on similarities between the alternative parts and the selected part), and displays a graphic representation of an alternative part. An alternative part is selected and inserted in the comment as a proposed replacement part. The comment including the proposed replacement part is provided to another user.

Abstract: Techniques for enhancing actionable opportunities through machine learning are disclosed. In some embodiments, a system includes an event listener for detecting an opportunity to perform an action using one or more computing resources. When a new opportunity is detected, the system generates a set of search criteria, which is used to search a set of external web resources for current events. The system may then generate, using a machine learning model as a function of one or more features extracted from current events satisfying the search criteria, a score representing a likelihood of success that the action leads to an optimal result. The system may tune the machine learning model based on feedback received that is indicative of how the current events affected the likelihood of success for the action.

Abstract: A device includes, in a first region, a first conductive interconnect, an electrode structure on the first conductive interconnect, where the electrode structure includes a first conductive hydrogen barrier layer and a first conductive fill material. A trench capacitor including a ferroelectric material or a paraelectric material is on the electrode structure. A second dielectric includes an amorphous, greater than 90% film density hydrogen barrier material laterally surrounds the memory device. A via electrode including a second conductive hydrogen barrier material is on at least a portion of the memory device. A second region includes a conductive interconnect structure embedded within a less than 90% film density dielectric material.

Abstract: Energy consumption modelling requires to consider various factors affecting the energy consumption in buildings, to be able to effectively forecast future consumption. Even though some of the state of the art deep learning based approaches are able to address these requirements to some extent, they are computationally heavy. The disclosure herein generally relates to energy forecasting, and, more particularly, to a method and system for graph signal processing (GSP) based energy modelling and forecasting. The system monitors and collects information on energy consumption in a building and values of associated energy consumption parameters. This input data is further processed using GSP to generate a building energy consumption model, from which a smooth signal is obtained by applying total variation minimization. The system further performs forecasting using the smooth signal.

Abstract: A gas injector for processing a substrate includes a body having an inlet connectable to a gas source that is configured to provide a gas flow in a first direction into the inlet when processing a substrate on a substrate support disposed within a processing volume of a processing chamber, and an a gas injection channel formed in the body. The gas injection channel is in fluid communication with the inlet and configured to deliver the gas flow to an inlet of the processing chamber. The gas injection channel has a first interior surface and a second interior surface that are parallel to a second direction and a third direction. The second and third directions are misaligned with a center of the substrate, and are at an angle to the first direction towards a first edge of the substrate support.

Abstract: Some embodiments of the present disclosure relate to a processing tool. The tool includes a housing enclosing a processing chamber, and an input/output port configured to pass a wafer through the housing into and out of the processing chamber. A back-side macro-inspection system is arranged within the processing chamber and is configured to image a back side of the wafer. A front-side macro-inspection system is arranged within the processing chamber and is configured to image a front side of the wafer according to a first image resolution. A front-side micro-inspection system is arranged within the processing chamber and is configured to image the front side of the wafer according to a second image resolution which is higher than the first image resolution.

Abstract: A method of facilitating merchant self-service assistance to financing and content support for a marketing event may include receiving a request from a merchant for approval for financing and content generation to support the marketing event and determining whether to approve the merchant based on comparing information provided in the request to approval standards. The method may further include, responsive to approval of the merchant, receiving context information regarding content requested, and providing the content requested to the merchant based on the context information to support the marketing event.

Abstract: The properties of a plurality of operational units are estimated by generating a central system state graph model representing the properties of the plurality of operational units as probabilities of transitions between states for the plurality of operational units, where the states represent operational data. Then a respective updated system state graph model is generated for each of the plurality of operational units, based on the central system state graph model and based on new operational data for the respective operational unit. A distance measure is determined between the respective updated system state graph models. If the distance measure fulfils a divergence criterion, a plurality of new central system state graph models are generated, each representing the properties of a respective subset of the plurality of operational units as the probabilities of transitions between states for the respective subset of the plurality of operational units.

Abstract: A system for extracting speaker information in an ATC transcription and displaying the speaker information on a graphical display unit is provided. The system is configured to: segment a stream of audio received from an ATC and other aircraft into a plurality of chunks; determine, for each chunk, if the speaker is enrolled in an enrolled speaker database; when the speaker is enrolled in the enrolled speaker database, decode the chunk using a speaker-dependent automatic speech recognition (ASR) model and tag the chunk with a permanent name for the speaker; when the speaker is not enrolled in the enrolled speaker database, assign a temporary name for the speaker, tag the chunk with the temporary name, and decode the chunk using a speaker independent speech recognition model; format the decoded chunk as text; and signal the graphical display unit to display the formatted text along with an identity for the speaker.

Abstract: Methods and systems for performing cleaning operations in boreholes penetrating earth formations are described. The methods include obtaining parameter information related to one or more angles of inclination, comparing the obtained parameter information to one or more criteria associated with each respective obtained parameter, generating a cuttings bed model based on the obtained parameter information, obtaining additional parameter information related to the one or more angles of inclination, updating the cuttings bed model in a pseudo-transient manner, determining that a hole cleaning operation is necessary, and at least one of (i) generating an indication that a hole cleaning operation is to be performed and (ii) automatically performing a hole cleaning operation.

Abstract: Aspects of the present disclosure are directed to extracting textual information from image documents. In one embodiment, a system, upon receiving a request to extract textual information from an image document, a digital processing system performs character recognition based on content of the image document using multiple approaches to generate corresponding texts. The texts are then combined to determine a result text representing the textual information contained in the image document. The result is then provided as a response to the request.

Abstract: Motion parameters estimation for localization of differential drive vehicles is an important part of robotics and autonomous navigation. Conventional methods require introceptive as well extroceptive sensors for localization. The present disclosure provides a control command based adaptive system and method for estimating motion parameters of differential drive vehicles. The method utilizes information from one or more time synchronized command signals and generate an experimental model for estimating one or more motion parameters of the differential drive vehicle by computing a mapping function. The experimental model is validated to determine change in the one or more motion parameters with change in one or more factors and adaptively updated to estimate updated value of the one or more motion parameters based on the validation. The system and method of present disclosure provide accurate results for localization with minimum use of extroceptive sensors.

Abstract: A method of measuring pressure includes the steps of (1) providing a vacuum cabinet with a storage compartment and an insulating space, and three temperature sensors; (2) sensing a first temperature level of an interior wall of the storage compartment; (3) sensing an ambient temperature level within the storage compartment; (4) sensing a second temperature level of an exterior wall of the storage compartment; (5) calculating an overall heat transfer coefficient (Q) using the ambient temperature level, the first temperature level, and a convective heat transfer coefficient for the interior wall of the storage compartment; (6) calculating a temperature differential between the second and first temperature levels; (7) determining a conductivity level (K) using the temperature differential, the overall heat transfer coefficient (Q) and a thickness of the insulating space; and (8) determining a pressure level (P) within the insulating space using the conductivity level (K).