Abstract: One challenge for middle-mile route planning is that the set of loads changes significantly between daily planning and execution. Systems and methods are provided for optimizing a transportation plan for a transportation network based on these load changes. The disclosed system re-optimizes a solution by starting from a previously existing plan and previously generated columns (e.g., candidate routes). The disclosed techniques significantly improve the compute time of the system to generate transportation plans that are optimized accordingly to an optimization parameter. The system takes into account the current execution status associated with a given entry of the plan to determine whether the entry should be re-optimized. Entries corresponding to tours that have already commenced, may be at least partially ignored for re-optimization consideration. The disclosed techniques enable state-aware, adaptive re-optimization for even tours that are in-progress or have been tendered.

Abstract: Operations associated with determining correlations between various attributes are disclosed. The operations may include: identifying a target attribute and a plurality of influencing attributes, determining a first correlation value representing a first correlation between the target attribute and a first influencing attribute of the plurality of influencing attributes, determining a second correlation value representing a second correlation between the target attribute and a second influencing attribute of the plurality of attributes, and based on the first correlation value and the second correlation value, ranking the first influencing attribute higher than the second influencing attribute in a ranked list of the plurality of influencing attributes representing an influence of each of the plurality of influencing attributes on the target attribute.

Abstract: Disclosed is a method for identifying multi-level hierarchical relationships between data elements of a document, the method comprising receiving a plurality of sample documents each having a plurality of data elements arranged in a multi-level hierarchical data structure; classifying each of the plurality of data elements into a key entity field or a key field value based on a hierarchical relationship therebetween; identifying key entity fields, from among the classified key entity field of the plurality of data elements, having the hierarchical relationship therebetween; pairing the key entity field, with a corresponding key field value or an identified key entity field, to form a training dataset; and employing the training dataset on a neural network framework, having at least one of a textual modality or a visual modality, to identify the multi-level hierarchical relationships between the data elements of the document.

Abstract: Fluid connector systems including first and second connector portions couplable together to form a fluid pathway therethrough, and can resist fluid flow through the connector when the connector portions are separated from each other. A connector portion can include a connector housing, a luer portion, and a deformable valve member. The deformable valve member is disposed within the connector housing and includes a spherical portion extending partially through a valve opening of the connector housing. The spherical portion defines a slit, and the deformable valve member is configured to selectively prevent fluid flow from the housing volume through the valve opening and to deform to expand the slit and permit fluid flow from the housing volume through the valve opening.

Abstract: Systems and methods are directed to providing multi-level rich autosuggestions for multi-intent search queries. The system receives a query prefix entered in a search box and accesses a database of machine-learning derived intent clusters. Based on the query prefix, a top-ranking machine-learning derived intent cluster is identified, and the search user interface is updated to provide a plurality of first level autosuggestions in an autosuggestion box including a smart suggestion. The smart suggestion is a first level suggestion of the top-ranking machine-learning derived intent cluster. The system receives a selection of the smart suggestion and, in response, replaces the plurality of first level autosuggestions in the autosuggestion box with second level autosuggestions. The second level autosuggestions comprise one or more intent categories that are subsets of the smart suggestion, whereby each intent category comprises a plurality of subcategory suggestions.

Abstract: A method and a system of recalibrating a plurality of sensors in a technical installation is provided. The method includes determining, by the processing unit, a first reading associated with a sensor of a plurality of sensor and a second reading associated with a standard measurement device. The method further includes determining, by the processing unit, whether the sensor is in an uncalibrated state by application of an artificial intelligence model on the first reading and the second reading. The method further includes outputting, by the processing unit, a notification to a user based on a determination that the sensor is in the uncalibrated state.

Abstract: In a radar system, an intermediate frequency amplifier (IFA) is configured with two high-pass filter stages, each having an amplifier and a configurable impedance component. A control signal is activated as the radar system begins to transmit a chirp signal to lower the impedance of the configurable impedance components during an initial portion of the chirp transmission to achieve faster settling of the IFA output signal. After the initial portion, the control signal deactivates while transmission of the chirp continues to increase the impedance of the configurable impedance components to a level sufficient to effectively perform filtering of unwanted signals received by the radar system.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may communicate on a first set of carriers in a first frequency range (FR) and a second set of carriers in a second FR. The UE may detect a radio link control (RLC) discontinuity on at least one of the first set of carriers or the second set of carriers. The UE may identify one or more FRs, of the first FR and the second FR, in which the RLC discontinuity occurred. The UE may transmit an RLC status report based at least in part on the identified one or more FRs. Numerous other aspects are described.

Abstract: There is disclosed in one example an application-specific integrated circuit (ASIC), including: an artificial intelligence (AI) circuit; and circuitry to: identify a flow, the flow including traffic diverted from a core cloud service of a network to be serviced by an edge node closer to an edge of the network than to the core of the network; receive telemetry related to the flow, the telemetry including fine-grained and flow-level network monitoring data for the flow; operate the AI circuit to predict, from the telemetry, a future service-level demand for the edge node; and cause a service parameter of the edge node to be tuned according to the prediction.

Abstract: Systems and methods for reducing power consumption by using adaptive transmit power during sniff intervals are disclosed. The central device transmits the first packet of the sniff interval using the previously negotiated transmit power. After the central device receives a response from the peripheral device, the central device uses a lower transmit power for subsequent POLL packets during that sniff interval. This scheme may reduce the power consumption of the central device significantly, especially when a large number of packets are transmitted during each sniff interval.

Abstract: Techniques for connectivity issue remediation are provided. A first link trace message is transmitted from a source end point to a destination end point. A first topology graph for a network is generated based on the first link trace message, and a presence of a connectivity issue in the network is detected. A second link trace message is transmitted from the source end point to the destination end point. A second topology graph for the network is automatically generated based on second link trace message, and a component in the network that caused the connectivity issue is identified based on comparing the first and second topology graphs.

Abstract: The present invention provides for a system (100) and a method for generating smart contracts for blockchain platforms. An input received as natural language text is processed into a first parameter to generate a Domain Specific Language (DSL) construct. DSL construct is disintegrated into a stream of tokens and a syntax analysis is performed on the stream of tokens to check if the syntax of the DSL construct matches with a grammar file defined for the DSL construct. Each of the marked lines of the stream of tokens is read and the read marked lines are transformed into an organized structure. A file specific to a target blockchain platform is generated based on a second parameter and the organized structure is mapped with the generated file associated with the target blockchain platform to generate a target code template for generating a deployable target smart contract for the target blockchain platform.

Abstract: Systems, apparatuses and methods include technology that identifies first data that is autonomously generated, where the first data is associated with a first source. The technology may further determine that the first data is to be marked with an indication that the first data is associated with the first source, generate an identifier associated with the first data based on the first data being determined to be marked, where the identifier indicates that the first data is associated with the first source, and store the identifier to an entry in a storage that is remotely accessible.

Abstract: Systems and methods for implementing a system for analyzing large amounts of event data to determine any potential security threats or anomalies. Event data may be obtained and processed. The processed event data may be analyzed to detect any potential security threats or anomalies.

Abstract: An apparatus to facilitate provenance audit trails for microservices architectures is disclosed. The apparatus includes one or more processors to obtain provenance metadata for a microservice from a local blockchain of provenance metadata maintained for the hardware resource executing a task performed by the microservice, the provenance metadata comprising identification of the microservice, operating state of at least one of a hardware resource or a software resource used to execute the microservice and the task, and an operating state of a sidecar of the microservice during the task; access one or more policies established for the microservice; analyze the provenance metadata with respect to the one or more policies to identify if there is a violation of the one or more policies; and generate one or more evaluation metrics based on whether the violation of the one or more policies is identified.

Abstract: Technologies for quality of service based throttling in a fabric architecture include a network node of a plurality of network nodes interconnected across the fabric architecture via an interconnect fabric. The network node includes a host fabric interface (HFI) configured to facilitate the transmission of data to/from the network node, monitor quality of service levels of resources of the network node used to process and transmit the data, and detect a throttling condition based on a result of the monitored quality of service levels. The HFI is further configured to generate and transmit a throttling message to one or more of the interconnected network nodes in response to having detected a throttling condition. The HFI is additionally configured to receive a throttling message from another of the network nodes and perform a throttling action on one or more of the resources based on the received throttling message. Other embodiments are described herein.

Abstract: A catheter system may include a catheter adapter, which may include a distal end, a proximal end, and a lumen. The catheter system may include one or more of the following: a catheter tube extending distally from the distal end of the catheter adapter; a needle hub; an introducer needle extending from the needle hub and distally through the catheter tube, wherein the introducer needle comprises a sharp distal tip; a needle cover surrounding the catheter tube and the sharp distal tip; a swab holder coupled to a distal end of the needle cover; and a swab secured within the swab holder and containing a disinfectant. an end cap proximal to the catheter adapter. The catheter system may include an end cap proximal to the catheter adapter, and the swab holder may be coupled to a swab holder coupled to a proximal end of the end cap.

Abstract: An embodiment of an electronic apparatus may include one or more substrates, and logic coupled to the one or more substrates, the logic to process memory operation requests from a memory controller, and provide a front end interface to remote pooled memory hosted at a near edge device. An embodiment of another electronic apparatus may include local memory and logic communicatively coupled the local memory, the logic to allocate a range of the local memory as remote pooled memory, and provide a back end interface to the remote pooled memory for memory requests from a far edge device. Other embodiments are disclosed and claimed.

Abstract: Various examples of the present disclosure relate to apparatuses, devices, methods, and computer programs for providing and processing information characterizing a non-uniform memory architecture. An apparatus for a computer system comprises processing circuitry to determine a presence of one or more memory devices connected to at least one processor of the computer system via a serial communication-based processor-to-memory interface, the one or more memory devices being part of a non-uniform memory architecture used by the computer system, determine at least one characteristic for the one or more memory devices by estimating or measuring a performance of the one or more memory devices as observed by the at least one processor, and provide information on the at least one characteristic of the one or more memory devices as part of information characterizing the non-uniform memory architecture.

Abstract: Embodiments described herein are generally directed to a transparent and adaptable mechanism for performing secure application communications through sidecars. In an example, a set of security features is discovered by a first sidecar of a first microservice of multiple microservices of an application. The set of security features are associated with a device of multiple devices of a set of one or more host systems on which the first microservice is running. Information regarding the set of discovered security features is made available to the other microservices by the first sidecar by sharing the information with a discovery service accessible to all of the microservices. A configuration of a communication channel through which a message is to be transmitted from a second microservice to the first microservice is determined by a second sidecar of the second microservice by issuing a request to the discovery service regarding the first microservice.