Abstract: The present disclosure discloses a system (500) for measuring thickness along a length of a conduit (111). The system includes a guide tube and a device (300) positioned in the guide tube (370). The device is configured to displace along the guide tube into the conduit. The device includes a plurality of links (100) pivotally connected to each other. Further, at least one carrier link (304) is positioned between at least a pair of the plurality of links and is configured to accommodate at least one sensor (340). Additionally, at least one protrusion (330) extends from the at least one carrier link and is configured to support a portion of the at least one sensor, to contact the conduit for measuring thickness of the conduit. Furthermore, a control unit (400) is communicatively coupled to the device (300) to operate the device and measure thickness along the length of the conduit.

Abstract: An electronic gaming machine includes a display, a player input device, a credit input mechanism, and a processor programmed to perform operations comprising: (i) display a search pattern matrix to a player on the display, the search pattern matrix includes a plurality of cells that are selectable by the player; (ii) receive an input selection of cells of the search pattern matrix from the player; (iii) search a pay table associated with a wagering game provided by the gaming machine for winning patterns included within the pay table and having at least the same plurality of cells daubed as are indicated by the search pattern matrix; and (iv) display the winning patterns identified by the searching to the player via the display, the displaying including presenting the winning patterns in a matrix display format identifying one or more daubed cells of the associated winning patterns within the matrix display.

Abstract: A system-on-chip (SoC) may include a plurality of terminals and a plurality of terminal controllers. Each terminal controller is configured to selectively disable a terminal. An SoC be configured to execute at least one application. An SoC may include a memory configured to store a plurality of terminal masks. Each terminal mask identifies a subset of the plurality of terminals to be disabled. An SoC may include a fault collection and reaction system configured to transmit, to the plurality of terminal controllers, a fault indication signal in response to an error in a corresponding application. Each terminal controller is further configured to determine, based on a fault indication signal and a value in a terminal mask, whether the terminal corresponding to the terminal controller is to be disabled, and when the terminal corresponding to the terminal controller is to be disabled, disable the terminal.

Abstract: A computer implemented method for generating a response to a received electronic message. A generative AI is prompted to analyse the electronic message and to generate intent data indicative of an intent associated with the electronic message and data-identifier data indicative of one or more predetermined data identifiers present in the electronic message. The electronic message is analysed to identify and retrieve client data associated with one or more parties associated with the electronic message. The method includes Verifying the retrieved client data includes data corresponding to the generated data-identifier data. If so, query an ERP system with the verified data-identifier data to extract ERP data corresponding to the predetermined data identifiers of which the data-identifier data is indicative, select a response-message template using the intent data, populate the selected response-message template with the ERP data, and present the populated response-message template to a user for approval.

Abstract: A system and computer implemented method for detecting hallucination in output of a generative AI system. User input is received specifying a query or task relating to information contained in a data object. A first vector representation of the user input and a second vector representation of the data object are generated. The first and second vector representations are compared to identify parts of the data object which match the query or task. An input is generated for a generative AI system with the user input and the parts of the data object. The input is input to a generative AI system. An output produced by the generative AI system is analysed to determine if the output contains information also present in the data object. If not, an error process is initiated. If so, the output is produced by the generative AI system.

Abstract: A retention flip flop includes a first latch, a second latch, and a retention latch. The first and second latches are powered by an interruptible primary supply voltage while the retention latch is powered by a secondary supply voltage that is not interrupted. The retention flip-flop receives a single retention control signal that controls whether the flip-flop is in a standard mode or a retention mode. In the retention mode, the flip-flop clock signal is paused.

Abstract: A computer implemented method of detecting hallucination in a large language model (LLM) output. A message is received. A prompt is generated for an LLM including the message and an instruction to generate an output identifying predetermined content in the message. The prompt is passed through an LLM to generate the output. The output is processed in accordance with a hallucination detection process to identify if any predetermined content identified by the LLM in the output is potentially hallucinated.

Abstract: A system and computer implemented method for generating validated prompt-templates for generating prompts for instructing large language models (LLMs) to perform specific tasks. An initial prompt is generated instructing an LLM to produce a plurality of candidate prompt-templates. The initial prompt includes an input data type to be included with a prompt generated using a candidate prompt-template, and output data to be produced by an LLM that has processed a prompt generated using a candidate prompt-template. The initial prompt is passed through an LLM to generate candidate prompt-templates. Test prompts are generated, each constructed from a candidate prompt-templates using input data from a set of pre-labelled input data having items of input data and corresponding labels. Each test prompt is passed through a further LLM to generate an output. The output is assessed, and candidate-prompt-templates are selected for subsequent generation of prompts.

Abstract: Support for a product may be provided using an interactive chat interface. The interface may provide recommendations for actions the user may take to address the issue. A support assistant tree may be used in providing information to the user via the user interface. The user interface may include options selectable by the user to traverse the support assistant tree. For example, a server may initially record the state of the user as being at the root node of the support assistant tree. Each child node of the root node may be associated with an answer to a question or an option. When the user selects the associated answer or option, the server provides information related to the corresponding node and updates the recorded state of the user to be the corresponding node. The process may be repeated until a leaf node is reached.

Abstract: Provided is a voltage level shifter that operates in sub-threshold voltages. The level shifter includes a level shifting stage. The level shifting stage receives a first signal from a first voltage domain and outputs a second signal to a second voltage domain. The level shifter includes a first auxiliary stage. In response to the first signal having a first voltage level corresponding to a first logical state and a first node of the level shifting stage having a supply voltage level, the first auxiliary stage sources current to a second node of the level shifting stage. Sourcing the current to the second node accelerates a transition of the first node to a reference voltage. The level shifting stage outputs a second signal to a second voltage domain.

Abstract: Disclosed in some examples are methods, systems, devices, and machine-readable mediums which monitor for file system element transfers to and from both the endpoint and authorized accounts on network-based service providers (e.g., cloud-based storage). The system uses the capabilities of monitoring both the network-based service and the client computing device to filter out legitimate uploads to authorized network-based services and legitimate downloads to authorized computing devices. By matching events, it filters out events that are likely legitimate, the system may provide more accurate information, notifications, awareness, and unmatched event indications.

Abstract: A system and method for automation and managing of security requirements and software supply chain in a software development lifecycle in a service-oriented architecture. Shared components can be used in the implementation of multiple software applications and each component has a functionality in the application and a set of controls for its implementation. A requirements library provides a list task requirements for each application which are applicable to the software application based on application context which is adjusted based on the controls required for implementation or controls addressed by the component. The shared components in the component library can be pre-authorized for use and applied to various software projects and applications with tracking, versioning, and dependency management.

Abstract: The present invention relates to a tablet composition comprising a granulate consisting of a co-precipitate on a substrate, wherein the co-precipitate comprises enzalutamide in amorphous form and a cellulosic concentration enhancing polymer. The invention further relates to the use of said composition as a medicament, particularly in the treatment of castration-resistant prostate cancer.

Abstract: Provided is a system and method that can identify whether an item is a dangerous good. The system can determine whether a product belongs in any of a number of different classes of dangerous goods from among a plurality of different regulations based on a machine learning algorithm which performs a text-based classification. In one example, the method may include receiving an identification of an object, retrieving a plurality of descriptive attributes of the object from a data store and converting the plurality of descriptive attributes into an input string, predicting whether the object is a dangerous object via execution of a text-based machine learning algorithm that receives the input string as an input, and outputting information about the prediction of the object for display via a user interface.

Abstract: Aspects of the disclosure are directed to allocating bandwidth. As may be implemented in accordance with one or more embodiments, respective amounts of bandwidth are allocated to respective application groups for each memory access cycle in a set of memory access cycles. Initial bonus bandwidth is provided to a first one of the application groups during one of the memory access cycles. The bonus bandwidth may include at least a portion of bandwidth allocated to and unused by one of the other respective application groups during the memory access cycle. Additional bonus bandwidth is selectively provided to the first application group during one of the memory access cycles based on the initial bonus bandwidth and a maximum amount of bonus bandwidth defined for the set of memory access cycles, in response to bandwidth allocated to one of the other respective application groups during the subsequent memory access cycle being unused.

Abstract: Aspects of the present disclosure relate to improving runtime performance of equivalence checkers by a shift left process that uses an RTL lint tool to identify RTL code that can be a source of verification complexity for the downstream equivalence checker. The RTL code is further compared to a corresponding circuit model to determine a potential gate-level location of the potentially problematic RTL code. A weight can be calculated to represent a level of verification complexity that may be generated by the particular portion of the RTL code. Further, one or more recommendations can be generated by the RTL lint tool to prevent some of the verification complexity for the downstream equivalence checker.

Abstract: Techniques for conserving system resources using smart document retention are disclosed. A computer system may identify a first portion of a plurality of documents as being decision-making documents based on each document in the first portion being scheduled for deletion within a specified period of time, identify a second portion of the plurality of documents as being non-decision-making documents based on each document in the second portion either being scheduled for deletion outside of the specified period of time or having been converted into and stored as a knowledge base document, and determine a corresponding level of similarity between each decision-making document and each non-decision-making document. The computer system may then cause identifications of a subset of the decision-making documents to be displayed on a computing device based on the corresponding level of similarity between each decision-making document in the subset and at least one of the non-decision-making documents.

Abstract: Disclosed herein is a method for UDC based communication in a wireless communication system. The method includes detecting a handover event or a re-establishment event for a UDC bearer, between a UE and a network. The method further includes performing a first determining operation for determining whether a PDCP status report is received by the UE from the network. Thereafter, the method includes transmitting uncompressed data packets until the PDCP status report is received by the UE. The method further includes performing a second determining operation for determining whether a PDCP timer associated with a reordering window of the PDCP layer is running or stopped. The method further includes transmitting compressed data packets based on a result of the first or second determination operation.

Abstract: Provided is a method and system of scheduling transmission of signals in a multi-SIM UE. The method includes performing an active communication session through a Tx channel of the multi-SIM UE, the Tx channel being associated with a corresponding first set of Rx channels, the first set of Rx channels including at least one among a plurality of Rx channels of the multi-SIM UE, receiving one or more DL signals in a second set of Rx channels among the plurality of Rx channels while the Tx channel is not allocated to transmit one or more uplink (UL) signals corresponding to the one or more DL signals, generating a UL-TB using a RLC SDU in response to the receiving, the RLC SDU corresponding to one or more pending UL grants of the one or more UL signals, and transmitting the UL-TB to a network entity via a PUSCH.

Abstract: A system includes a module configured to, for each footprint of a conveyor, identify vehicle groups having different vehicle characteristics and over-cycle distributions for each vehicle group or a back-to-back sequence of any given vehicle group by calculating, for each vehicle characteristic, over-cycle distributions for a first vehicle group having the vehicle characteristic and a second vehicle group not having the vehicle characteristic, determining whether either the number of vehicles in the first or second vehicle group or a difference between the over-cycle distributions for the first and second vehicle groups satisfies a threshold condition, and in response, cease identifying the vehicle groups. The module is configured to identify, for a received actual vehicle sequence, over-cycle risks based on the identified vehicle groups and the over-cycle distributions for each vehicle group or a back-to-back sequence of any given vehicle group. Other examples systems and methods are also disclosed.