Abstract: The present embodiments relate to updating a dataflow interactive cluster with zero downtime. A request to update a first dataflow cluster can be received, and a second dataflow cluster can be generated as a replacement cluster to execute received queries. Generating the second dataflow cluster can include identifying a second series of executor nodes that are configured to execute queries from the gateway node via a second driver node. A first update to a configuration of a host configuration node can be performed to register the second dataflow cluster as an active endpoint and identify the first dataflow cluster as an inactive endpoint. When no active queries exist, a second update to the configuration can be provided to remove the first dataflow cluster from the configuration to direct subsequent queries from the gateway node to the second dataflow cluster.

Abstract: Computer-implemented methods for training a neural network, as well as for implementing audio encoders and decoders via trained neural networks, are provided. The neural network may receive an input audio signal, generate an encoded audio signal and decode the encoded audio signal. A loss function generating module may receive the decoded audio signal and a ground truth audio signal, and may generate a loss function value corresponding to the decoded audio signal. Generating the loss function value may involve applying a psychoacoustic model. The neural network may be trained based on the loss function value. The training may involve updating at least one weight of the neural network.

Abstract: A processing device identifies a first clock tree topology for a circuit design, the first clock tree topology having a threshold feedthrough count and a first timing solution. The processing device further identifies one or more additional clock tree topologies for the circuit design, each of the one or more additional clock tree topologies having a different respective feedthrough count that is less than the threshold feedthrough count, and each of the one or more additional clock tree topologies comprising a respective timing solution. In addition, the processing device receives a selection of at least one of the first clock tree topology or the one or more additional clock tree topologies, and generates the circuit design according to the selection.

Abstract: Systems and methods for continuous monitoring of the behavior of animals, such as small rodents, are provided. Monitoring can include video, audio, and other sensor modalities. In one embodiment, the system can include cameras, arena design, environmental sensors, and ultrasonic sensors. The system uniquely provides a continuous long-term monitoring system suitable for mouse behavioral study. Further provided is a neural network based tracker configured for use with video data acquired by the monitoring system. 3 different neural network architectures have been tested to determine their performance on genetically diverse mice under varying environmental conditions. It has been observed that that an encoder-decoder segmentation neural network achieves high accuracy and speed with minimal training data.

Abstract: Methods, systems, and devices for wireless communications are described. A first device may encode a first subset of bits of a total set of bits that are configured for encoding a fixed point complex data set that comprises a real portion and an imaginary portion, the first subset of bits indicating a quantity of redundant sign bits. The first device may encode a second subset of bits of the total set of bits, a first portion of the second subset of bits indicating the real portion and a second portion of the second subset of bits indicates the imaginary portion, where a first quantity of bits of the first portion is different from a second quantity of bits of the second portion based on the quantity of the first subset of bits being an odd integer value in accordance with the compression encoding scheme.

Abstract: A composition, and method for a targeted drug delivery is disclosed in treating central nervous system injury, including blast hearing loss, traumatic brain injury (TBI) and the like, by administering a subject with nanoparticle-based minocycline formulations. The formulation contains nanoparticles encapsulating minocycline for neuroprotective effect in TBI. Albumin nanoparticle-based minocycline formulations provide enhanced delivery to brain, and reduced toxicity at minimal dosage for treating a subject suffering from central nervous system injury including blast induced traumatic brain injury (bTBI). Nanoparticle administered at minimal dose in rat blast TBI model crossed blood-brain barrier (BBB) and enhanced therapeutic concentration compared to free minocycline. Provided is an effective and safe minocycline delivery in TBI with minimal or no toxicity for neuroprotective therapy.

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: An access control system includes access control devices for reading access control keys that are each associated with a corresponding one of a plurality of authorized users of the facility. Access requests from the access control devices are presented to an Artificial Intelligence and/or Machine Learning (AI/ML) engine, the AI/ML engine identifying one or more of the plurality of access requests as a flagged access request that represents a possible security event for the facility. One or more images from a security camera that captures the flagged access request are displayed for review by a security operator and a response is entered by the security operator that classifies the flagged access request as either a legitimate access request or an illegitimate access request. An alert is issued when the response classifies the flagged access request as an illegitimate access request.

Abstract: This disclosure describes a digitally enabled platform that includes animal (e.g., rodent) home cages with integrated cameras, cloud-based infrastructure, machine learning algorithms for generating digital biomarkers, and a user interface for collecting and visualizing continuous metrics for digital biomarkers in rats and mice. Metrics include movement, locomotion, wheel, food and water occupancy, loss of righting reflex, seizure, gait, rearing, and scratch. An array of sensors continuously monitors experimental conditions, minimizing the need for human intervention with the research subjects.

Abstract: A method for handling faults in an integrated circuit system includes receiving fault interface signals from safety-critical logic and generating a fault request indicating a fault and a domain identifier based on the fault interface signals. The fault interface signals include a fault signal and a fault domain identifier signal. In an embodiment of the method, the fault interface signals include synchronous signals received from the safety-critical logic using a synchronous interface and the synchronous signals include a fault clock signal. In an embodiment of the method, generating the fault request includes asserting the fault request in response to the fault signal having a first asserted signal level and maintaining assertion of the fault request until a fault acknowledgement is received from a fault collection and control circuit.

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.