Abstract: In some aspects, the techniques described herein relate to a method including: receiving, by a capture module, a reception notification from an email server, wherein the reception notification is triggered by an event handler of the email server and the event handler is configured to generate the reception notification upon receipt of an email in a mailbox of the email server; generating, by the capture module, a reception event including metadata related to the email that is received at the mailbox of the email server; sending, by the capture module, the reception event to an event streaming platform; retrieving, by a workflow engine, email metadata, wherein the email metadata is related to the email that is received at the mailbox of the email server; and providing, by the workflow engine and as input to a rules-based procedure, the email metadata.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives a set of master data for an entity from a master data system. The set of master data for the entity comprises a master data entity ID for uniquely identifying the entity. The program further receives a set of data associated with the entity from a set of applications configured to generate data associated with the entity and reference the entity using the master data entity ID when generating the of set data associated with the entity. The program also sends the set of master and the set of data associated with the entity to a search system for the search system to aggregate the set of master data for the entity and the set of data associated with the entity into a single record of data for the entity.

Abstract: The present disclosure relates to a process and an apparatus for the purification of polyetherketoneketone (PEKK). The process involves purifying the PEKK by using a solvent with continuous reflux to obtain the purified PEKK with enhanced product characteristics. The process of the present disclosure is simple, and economical, reduces the solvent usage and time for purification, and produces purified PEKK with comparatively high yield and purity.

Abstract: The embodiments of present disclosure herein address unresolved problem of key capabilities that an intelligent robot must possess to perform complex and long-horizon object manipulation tasks without human intervention. The present disclosure overcomes above mentioned challenges by decoupling imitation learning task into two parts using a decouple neural network architecture comprising two modules. A high-level module that segments out sequence of primitive actions from video of human demonstration of a complex task and a low-level module that executes those primitives sequentially on robot. The high-level module, Task Sequencing Network (TSNet), is a hybrid neural network composed of Convolutional Neural Network (CNN), Recurrent Neural Network (RNN) with Connectionist Temporal Classification (CTC) loss, while low-level controller is built using dynamic movement primitives (DMP). The network is trained in a supervised learning setting.

Abstract: Methods may include initiating, by a client device, a checkout operation including a default transaction amount associated with a plurality of items and a plurality of promotions. A device may receive data associated with multiple display promotions, where the data includes a single default promotional code associated with the default transaction amount, the plurality of items, and the plurality of promotions. A device may display an error message for at least one display promotion of the multiple display promotions. A device may decline the checkout operation, wherein a server call reduces processing time used to validate error messages during the checkout operation, and where the single default promotional code prevents or reverses payment associated with the error message.

Abstract: Techniques for facilitating natural language interactions with visual interactive content are described. During a build time, a system analyzes various websites and applications relating to a particular user goal to understand website and application navigation and information relating to the user goal. The learned information is used to store configuration data. During runtime, when a user request performance of an action, the system engages in a dialog with the user to complete the user's goal. The system uses the stored configuration data to determine actions to be performed at a website or application to complete the user's goal, and determines system responses to present to the user to facilitate completion of the goal. Such system responses may request information from the user, may inform the user of information displayed at the website or application, etc.

Abstract: A system processes an API specification provided by a vendor to determine and classify the functions defined therein by CRUD operation type based on analysis of the function names. Classification of the function includes associating a bitmask corresponding to the class with the function name. The system then subscribes to an event stream including logged API function call events during a time window overlapping with a “blind spot” period of attack detection. The system analyzes incoming events to identify an associated resource and an API function call. The system classifies the function based on the determined function classes and performs a bitwise operation between bit values maintained for the identified resource that are indicative of resource state and the bitmask of the function class. If the resulting bit values indicate that the resource was both created and deleted during the time window, the system flags the resource as potentially involved in an attack.

Abstract: A method for hybrid bonding a first semiconductor substrate to a second semiconductor substrate includes forming a first plurality of metal pads on a face of the first substrate, forming a second plurality of metal pads on a face of the second substrate, selectively forming a first dielectric layer over a first insulating material of the first substrate, selectively forming a second dielectric layer over a second insulating material of the second substrate, placing the face of the first substrate against the face of the second substrate so that the first dielectric layer contacts the second dielectric layer, and heating the first substrate and the second substrate to bond the first plurality of metal pads to the second plurality of metal pads. The first and second dielectric layers may be formed by an area selective deposition process.

Abstract: This disclosure provides improved RNA molecules, including mRNA molecules that can be produced by in vitro transcription and are suitable for in vivo transfection using an appropriate delivery vehicle, such as a lipid nanoparticle (LNP) or targeted lipid nanoparticle (tLNP). The improved RNA include particular combinations of 5? untranslated region (UTR) and 3? UTR, particular 3? UTRs, or particular open reading frame sequences. Also provided herein are compositions of the LNP, or tLNP with an antibody as a targeting moiety, such as anti-CD8 antibodies that are used as targeting moiety.

Abstract: Techniques are provided for reporting mobility and/or handover related measurements and events for Artificial Intelligence/Machine Learning (AI/ML) positioning. An example method for reporting mobility and handover related measurements and events for AI/ML positioning includes receiving mobility reporting configuration information from a location server, obtaining mobility indicators from one or more wireless nodes based at least in part on the mobility reporting configuration information, and providing the mobility indicators to the location server.

Abstract: Techniques are provided for utilizing QCL relationships with AI/ML models and reference signals. An example method for providing positioning reference signal configuration information includes receiving, from a wireless node, an indication of a quasi co-location (QCL) relationship between an AI/ML model and a reference signal, configuring one or more positioning reference signal resources based at least in part on the indication of the QCL relationship, and providing configuration information for the one or more positioning reference signal resources to the wireless node.

Abstract: Certain aspects provide techniques and apparatuses for efficient operation of a machine learning model based on partitioning the machine learning model. An example method generally includes receiving a graph for a machine learning model. The graph for the machine learning model generally includes a plurality of subgraphs representing different portions of the machine learning model. The machine learning model is instantiated across a plurality of process domains associated with a same application based on the plurality of subgraphs in the graph for the machine learning model. An inference is generated based on executing the machine learning model across the plurality of process domains, and one or more actions are taken based on the generated inference.

Abstract: In a cloud computing environment, a cross-tenant access security measure monitors conditional access policies for changes or additions that hamper or threaten an authorized access from an assistant tenant user to a focus tenant. Some cross-tenant access security tracks role assignments to detect rogue roles, or detect hampering role changes. In some cases, focus tenant events and assistant tenant events are correlated in an audit. In some cases, the authorized access is a zero standing time bound access. In some cases, the authorized access is constrained to an IP address range, or constrained to login from a managed device, or both. In some cases, assets are excluded from managed response remediation actions. In some, managed response is modulated by product-specific Role Based Access Control. In some, repeated logins are avoided, to permit faster managed responses.

Abstract: Methods and systems herein identify and redact personally identifiable information. A PII sensitivity detection framework includes multiple layers where each layer corresponds to a computer model. The framework analyzes data stored within different data tables and predicts whether a data column includes PII. The first layer corresponds to an artificial intelligence model that analyzes each column metadata and predicts a first score indicative of a likelihood of PII. The second layer corresponds to a rule-based computer model that uses various rules to determine a second score indicative of a likelihood of PII for each column. The third layer corresponds to a column content model that analyzes content of each column using various natural language processing techniques to generate a third score indicative of a likelihood of PII. The framework masks data being presented to a user based on the scores generated via execution of one or more of the layers.

Abstract: In an example, based upon a first image of a face of a first person, a plurality of augmented images may be generated. Based upon the first image and the plurality of augmented images, a first set of facial feature representations may be generated. A second image comprising a representation of a face of a second person may be identified. A second facial feature representation may be generated based upon the second image. It may be determined, based upon the second facial feature representation and the first set of facial feature representations, that the second person is the first person.

Abstract: Provided herein are oligomeric compounds with conjugate groups targeting apoplipoprotein (a) [apo(a)]. In certain embodiments, the apo(a) targeting oligomeric compounds are conjugated to N-Acetylgalactosamine. Also disclosed herein are conjugated oligomeric compounds targeting apo(a) for use in decreasing apo(a) to treat, prevent, or ameliorate diseases, disorders or conditions related to apo(a) and/or Lp(a). Certain diseases, disorders or conditions related to apo(a) and/or Lp(a) include inflammatory, cardiovascular and/or metabolic diseases, disorders or conditions. The conjugated oligomeric compounds disclosed herein can be used to treat such diseases, disorders or conditions in an individual in need thereof.

Abstract: A method of manufacturing a heat exchanger includes providing a first slab having a first plurality of tubes extending from a first end to a second end of the first slab along a first length of the first slab. The method includes providing a second slab having a second plurality of tubes extending from a third end to a fourth end of the second slab along a second length of the second slab. The method includes positioning a first face of the first slab adjacent to a second face of the second slab in a side-by-side configuration and securing a connector to the first end of the first slab and to the third end of the second slab in the side-by-side configuration. The method includes bending the first slab and the second slab together in the side-by-side configuration to form a bent configuration of the heat exchanger.

Abstract: Certain aspects of the present disclosure provide techniques for user equipment (UE) cooperation. Certain aspects provide a method for wireless communication by a target UE. The method generally includes receiving availability information indicating availability of one or more candidate UEs for cooperating with the target UE for communicating with a network entity, receiving assistance information from at least one of the candidate UEs, establishing a cooperation connection with the at least one of the candidate UEs based on the assistance information, and transmitting, to the network entity, an indication of UE capability based on the cooperation connection.

Abstract: Wireless communications systems and methods related to UE cooperation are provided. A base station (BS) may assist a UE in cooperating with other UEs. A UE may transmit a cooperative UE update request to aBS, indicating a number of candidate cooperative UE sets. The UE may also transmit information to the BS about the candidate cooperative UE sets such as UE capability information, location information, and channel measurements. Additional measurements maybe requested by the BS. The BS may use the information from the UEs together with BS-side information such as configuration information and TRP information in order to determine which of the candidate cooperative UE sets is preferred. The BS may then configure and communicate with selected cooperative UE set.

Abstract: Disclosed herein are compositions for and methods of forming a modified silicone rubber that includes titanium dioxide. The disclosed composition creates a hydrophobic surface that prevents or minimizes ice formation on the external surface of apparatuses utilized in low temperature services. The disclosed composition is suitable for installation in cryogenic or refrigerant service, while also maintaining performance in high-temperature applications.