Abstract: Example systems and methods for analyzing and summarizing legal documents using artificial intelligence are disclosed. A system receives a legal document such as a contract or agreement, and utilizes multiple AI models in combination to process and summarize the document. This includes identifying the type of legal document using a natural language model, and then extracting key information like parties, dates, and monetary values. Related clauses within the document are consolidated using a clause consolidation algorithm even if they are not contiguous. Summaries are generated for each section of the document. Additionally, a question-answering module preemptively generates common questions and answers about the agreement to highlight key considerations for the parties involved. By leveraging an ensemble of customized AI models, the system aims to simplify comprehension of legal documents.

Abstract: A flow assurance digital avatar is provided that combines the simulation of fluid flow through a network of oilfield facilities including reservoirs, wells and pipelines, detection and visualization of possible flow-related issues and risks in the network of oilfield facilities, user evaluation of possible optimizations (what-if scenarios) in the operation of the network of oilfield facilities for fixes and workovers with respect to flow-related issues and risks, and user evaluation and management of possible tasks or actions for the fixes and workovers for the flow-related issues and risks. Other aspects are described and claimed.

Abstract: In an integrated circuit, a first always on (AON) domain generates an isolation signal to enter standby mode. A switchable power domain propagates the isolation signal. A voltage level detector outputs an indicator which indicates whether a voltage of the switchable power supply is above or below a voltage threshold. An isolation wrapper circuit includes a pass-through latch selectively enabled based on the output of the voltage level detector. The pass-through latch receives the propagated isolation signal and provides a value of the propagated isolation signal at its output while enabled, but maintains a latched value at its output, regardless of changes in value of the propagated isolation signal, while disabled. The wrapper circuit also includes an isolation circuit which receives signals from circuitry within the switchable power domain and selectively isolates the received signals from a second AON power domain based on the output of the pass-through latch.

Abstract: A network device includes at least one port and a processor for use in a network for communicating a packet. The processor is configured to obtain a packet header for a packet and perform telemetry using postcard and/or passport approaches. The processor uses a repurposed field in the packet header to indicate telemetry is to be performed on the packet.

Abstract: Embodiments of the present disclosure relate to parallel mask rule checking on evolving mask shapes in optical proximity correction (OPC) flows for integrated circuit designs. Systems and methods are disclosed that perform mask (manufacturing) rule checks (MRC) in parallel, sharing information to maintain symmetry when violations are corrected. In an embodiment the shared information is also used to minimize changes to the geometric area of proposed mask shapes resulting from the OPC. In contrast to conventional systems, MRC is performed for multiple edges in parallel, sharing information between the different edges to encourage symmetry. In an embodiment, all edges may be adjusted in parallel to reduce mask-edge traversal bias.

Abstract: The present invention relates to a method for the in situ synthesis of of MOFs (metal organic frameworks), COFs (covalent organic frameworks), and ZIFs (Zeolitic imidazolate framework), onto and within different types of porous substrates, and their applications. The present invention provides a unique and easy to utilize method by which a number of MOFs, COFs and ZIFs can be synthesized directly onto and within a porous substrate with high performance efficiency ensuring higher grammage in formation of adsorbent product onto and within the substrate.

Abstract: Modified oligonucleotides comprising modifications at the 2? and/or 3? positions(s) along with methods of making and use, e.g., against HBV are disclosed.

Abstract: Techniques for filtering queries to a large language model (LLM) based on their relevance to an enterprise domain associated with the LLM involve training a machine learning model using historical LLM query data and associated relevance scores. These scores indicate how closely a query relates to the enterprise's operations. The trained model is then applied to new input queries, generating relevance scores for the input queries. Queries meeting a predetermined relevance threshold are passed to the LLM for processing. For queries falling below this threshold, remedial actions are taken instead of processing by the LLM. The techniques optimize computational resource allocation by prioritizing queries relevant to the enterprise while filtering out less pertinent ones. The techniques create a relevance-based gatekeeping mechanism for LLM query processing, enhancing efficiency and focusing the LLM's capabilities on enterprise-specific tasks.

Abstract: A method of hot spot ranking for a patterning process. The method includes obtaining (i) a set of hot spots of a patterning process, (ii) measured values of one or more parameters of the patterning process corresponding to the set of hot spots, and (ii) simulated values of the one or more parameters of the patterning process corresponding to the set of hot spots; determining a measurement feedback based on the measured values and the simulated values of the one or more parameters of the patterning process; and determining, via simulation of a process model of the patterning process, a ranking of a hot spot within the set of hot spots based on the measurement feedback.

Abstract: Small molecule radiohalogenated PSMA inhibitors and metal complexes thereof and their use in radioimaging and radiotherapy for treating PSMA-related diseases, including prostate cancer, are disclosed. The combination of small molecule radiohalogenated PSMA inhibitors with a competitive PSMA ligand for reducing off-target accumulation of the radiohalogenated PSMA inhibitor also is disclosed.

Abstract: Small molecule radiohalogenated PSMA inhibitors and metal complexes thereof and their use in radioimaging and radiotherapy for treating PSMA-related diseases, including prostate cancer, are disclosed. The combination of small molecule radiohalogenated PSMA inhibitors with a competitive PSMA ligand for reducing off-target accumulation of the radiohalogenated PSMA inhibitor also is disclosed.

Abstract: The present disclosure relates to a Coriolis measuring transmitter of a Coriolis measuring device for measuring a mass flow or a density of a medium flowing through a pipe, which includes: at least one pair of measuring tubes arranged to oscillate relative to each other, wherein each measuring tube includes a centrally arranged bend, at least one driver and at least two vibration sensors; two guiding devices, each including a fluid chamber with a first opening for connection with the pipe and second openings for each measuring tube for connection with the measuring tubes, wherein the guiding devices are each formed from multiple parts, for example, formed from two parts, wherein a first part forms a pipe connecting part, and wherein at least one second part forms a measuring tube connecting part.

Abstract: An apparatus, method, and computer program product are provided for the improved and automatic prediction and modeling of one or more channels and relevant conditions through which resources may be directed to users in an environment where resource demand, utility, and perceived value vary over time. Some example implementations employ predictive, machine-learning modeling to facilitate the use of multiple disparate and unrelated data sets to extrapolate and otherwise predict the future needs for certain resources and identify the channels and conditions that may be employed to meet such future needs. An apparatus, method, system, and computer program product are provided for improved generating, adjusting, and/or facilitating approval of a resource offer set. Some example implementations employ one or more predictive models.

Abstract: A network device includes at least one port and a processor for use in a network for communicating a packet. The processor is configured to obtain a packet header for a packet and perform telemetry using postcard and/or passport approaches. The processor uses a repurposed field in the packet header to indicate telemetry is to be performed on the packet.

Abstract: A method comprises: receiving a query on a topic from a user associated with user attributes indicative of a user comprehension level on the topic; providing the query to an AI model; receiving from the AI model a response to the query that has a response comprehension level on the topic that is less than the user comprehension level; iteratively adding, to the query, topically-relevant user attributes of the user attributes to produce iterative queries that increase in technical detail on the topic; providing the iterative queries to the AI model; responsive to providing the iterative queries, receiving, from the AI model, iterative responses that increase in technical detail on the topic and have response comprehension levels that increase on the topic; and determining, among the iterative responses, a final response having a response comprehension level that most nearly matches the user comprehension level.

Abstract: Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive, from a network node, one or more control channel symbols in a subframe. The UE may activate a sleep mode for the subframe irrespective of a control channel decoding result associated with the one or more control channel symbols, wherein the control channel decoding result is associated with a presence or an absence of a downlink shared channel grant. Numerous other aspects are described.

Abstract: The current document is directed to methods and systems that automatically bind an attribute value, within a resource descriptor in a cloud-infrastructure-specification-and-configuration file, that references a parent resource descriptor via a resource identifier to the resource identifier in the parent resource descriptor. One implementation of attribute-value binding is employed in an infrastructure-as-code (“IaC”) cloud-infrastructure-management service or system that automatically generates parameterized cloud templates that represent already deployed cloud-based infrastructure, including virtual networks, virtual machines, load balancers, and connection topologies.

Abstract: A system for assessing a data model includes a data receiver, a model receiver, and a model assessment device. The data receiver receives training data, historical data, and production data. The model receiver receives the data model associated with the historical data and trained using the training data. The historical data includes a first outcome of the data model provided based on an input feature in the production data. The model assessment device identifies a key feature in the production data relative to the input feature based on a target category in the historical data and a statistical distribution of the input feature in the production data. The model assessment device determines a second outcome of the data model based on the key feature. In response to the second outcome being different from the first outcome, the model assessment device determines a veracity score for assessing the data model.

Abstract: A method for operating devices by an electronic device in an Internet of Things (IoT) environment is provided. The method includes monitoring a movement of at least one object from a first location to a second location, identifying a relative position of the at least one object in the second location with respect to at least one entity, predicting an initiation of at least one activity by the at least one entity, based on the determined relative position of the at least one object with respect to the at least one entity, and modifying an operational state of at least one device associated with the predicted at least one activity.

Abstract: In some implementations, the techniques described herein relate to a method including: loading, by a processor, a predictive model, the predictive model including a first set of hidden layers; loading, by the processor, a semantic model, the semantic model including a second set of hidden layers; generating, by the processor, a tenant model using the first set of hidden layers and a third set of hidden layers, the third set of hidden layers receiving, as input, an output of the first set of hidden layers; loading, by the processor, a tenanted training data set; training, by the processor, the tenant model by biasing the first set of hidden layers with the second set of hidden layers and training weights of at least the third set of hidden layers using the tenanted training data set; and building, by the processor, an embedding index using the tenant model.