Abstract: An integrated circuit with a fault reporting structure. The fault reporting structure includes a first fault reporting structure formed in at least one metal layer of the integrated circuit and electrically coupled to a first fault reporting pin of the integrated circuit. The first fault reporting structure may be adapted to report whether burnt point forms in the integrated circuit.

Abstract: A system is provided for dynamic playout buffer for disparate live media output stream. A request is received that comprises a stream identifier and an additional parameter. In accordance with a playout buffer feature and the additional parameter, a first disparate live media output stream is generated based on an insertion of manifest data and indexed metadata of a media segment associated with the stream identifier to a first disparate live media output stream manifest. The playout buffer feature, defined in a first programming schedule, is associated with a corresponding number of media segments representing pre-encoded media assets and/or live input streams referenced in the first programming schedule.

Abstract: A confidence score (or other measure) that is related to the reliability of map data (MAP) messages is received at a vehicle. Vehicle-to-everything (V2X) messages are received from other vehicles and compared to the MAP-compliant messages. For example, behavior and position of the other vehicles in view of the content of the MAP messages is evaluated for consistency and a numeric score or measure assigned to V2X messages associated with the other vehicles. The score is compared to a threshold and based upon the comparison, a determination can be made as to whether to use the V2X-compliant messages from the other vehicles to perform an action at the vehicle (e.g., control a component of the vehicle).

Abstract: The present disclosure relates to a drainage catheter and methods of use for providing catheterization procedures, such as during a percutaneous nephrostomy. The drainage catheter includes a body including a first tube segment and a second tube segment connected to one another at a curved end portion to form a continuous body structure. An inner surface of the curved end portion includes one or more drainage openings extending therethrough, with an outer surface of the curved end portion free of drainage openings. The openings are in communication with a lumen that extends through the drainage catheter to provide a pathway for removing fluid from the kidney. The drainage catheter is inserted into the kidney via a first insertion site and exits via a second insertion site.

Abstract: A distributed cloud computing system further includes logic, stored on non-transitory, computer-medium, that, upon execution by one or more processors, causes performance of operations including generating a first fingerprint for the first VPC being a statistical measure of a plurality of network metrics during a learning phase, generating a second fingerprint for the second VPC being a statistical measure of the plurality of network metrics during the learning phase, receiving, from the controller, metadata pertaining to each of the first gateway and the second gateway, receiving, from each of the first gateway and the second gateway, network data, wherein the metadata and the network data identify each of the plurality of constructs, the communication paths between each construct, and in which cloud computing network each construct is deployed, detecting an anomaly in one or more network traffic metrics of either the first VPC or the second VPC based on a comparison of received network traffic and a corresp

Abstract: Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

Abstract: A radiation system includes an X-ray target configured to convert an electron beam into an X-ray beam. The X-ray target includes a plurality of target layers and each of the plurality of target layers are configured to convert a portion of the electron beam into a portion of the X-ray beam.

Abstract: Systems, methods and apparatus are disclosed for automatic signal detection in an RF environment. An apparatus comprises at least one receiver and at least one processor coupled with at least one memory. The apparatus is at the edge of a communication network. The apparatus sweeps and learns the RF environment in a predetermined period based on statistical learning techniques, thereby creating learning data. The apparatus forms a knowledge map based on the learning data, scrubs a real-time spectral sweep against the knowledge map, and creates impressions on the RF environment based on a machine learning algorithm. The apparatus is operable to detect at least one signal in the RF environment.

Abstract: Various enhancements to grid-interactive inverters in accordance with embodiments of the invention are disclosed. One embodiment includes input terminals configured to receive a direct current, output terminals configured to provide an alternating output current to the utility grid, a controller, an output current sensor, and a DC-AC inverter stage comprising a plurality of switches controlled by control signals generated by the controller. In addition, the controller is configured to: generate control signals that cause the switches in the DC-AC inverter stage to switch a direct current in a bidirectional manner; measure the alternating output current; perform frequency decomposition of the output current; and generate control signals that cause the switches in the DC-AC inverter stage to switch current in a way that the magnitude of a plurality of unwanted current components is subtracted from the resulting output current.

Abstract: A method for performing optimized radio resource management (RRM) in an O-RAN network, includes: performing, at the RRM analytics module, a machine learning-based analysis to determine an optimal resource allocation policy based on at least one performance measurement performed at a distributed unit (DU); receiving, by the DU, the optimal resource allocation policy determined by the RRM; and utilizing, by the DU, the optimal resource allocation policy to one of schedule or not schedule user equipments (UEs). In a given slot and for a given state of the base station, candidate UEs to serve in the slot are selected based on a chosen policy. If the number of selected candidate UEs is higher than the maximum number the base station can serve in that slot, the radio resource management (RRM) module selects, using the chosen policy, the maximum number of UEs, and the selected UEs are allocated resources.

Abstract: Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

Abstract: Embodiments described herein provide systems and techniques for training large language models. In one aspect, a process for performing in-context training of a language model is disclosed. This process may begin by receiving a language model that includes a context window of a predetermined size, as well as receiving a set of in-context prompt/completion pairs prepared for a target task. The process then constructs a first token sequence based on the set of in-context prompt/completion pairs. Next, the process fits the first token sequence into the context window. The process subsequently performs a first in-context training pass using the first token sequence to train the language model to generate a next token in accordance with the target task.

Abstract: In one embodiment, a flow control system for delivering a fluid at a predetermined rate includes a base having a flow path extending from an inlet to an outlet, a proportional valve operably coupled to the base to control fluid flow through the flow path, a flow restrictor located between the proportional valve and the outlet, and a pressure transducer fluidly coupled to a volume of the flow path. The volume is defined between the proportional valve and the flow restrictor.

Abstract: Apparatuses for controlling fluid flow are important components for delivering process fluids for semiconductor fabrication. These apparatuses for controlling fluid flow frequently rely on valves which can provide flows at different rates and in a minimally turbulent manner. In one embodiment, a valve assembly is disclosed, the valve assembly having a valve body, a closure member, a seat, and a radial flow guide. The radial flow guide has a plurality of flow passages. The closure member has a needle, the needle having a plurality of grooves therein. The resulting valve assembly enables improved control of fluid and reduces turbulence in the resultant flow.

Abstract: Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Abstract: Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Abstract: Embodiments described herein provide systems and techniques for training large language models. In one aspect, a process for performing in-context few-shot training for a transformer-based language model is disclosed. This process may begin by receiving the transformer-based language model having a context window of a predetermined size, as well as a training dataset comprising a set of prompt/completion examples. The process then constructs a training sequence based on the training dataset. Next, the process performs a single forward pass using the training sequence as input. The process subsequently performs a set of backward passes from a subset of examples in the training sequence, wherein each backward pass is conditioned on a selected subset of prompt/completion examples in the training sequence.

Abstract: Systems and methods of sensor data fusion including sensor data capture, curation, linking, fusion, inference, and validation. The systems and methods described herein reduce computational demand and processing time by curating data and calculating conditional entropy. The system is operable to fuse data from a plurality of sensor types. A computer processor optionally stores fused sensor data that the system validates above a mathematical threshold.

Abstract: A system and method for monitoring one or more Mobility Management Entities (MMEs) with a plurality of scalable network probe devices arranged in a cluster format. A ciphered packet is received from one or more MMEs at a packet switching device. The packet switching device in turn sends all the ciphered packets to each of the plurality of clustered probes. Each of the network probes then in turn deciphers the packets received from the MME and extracts metadata from the deciphered packet to identify subscriber session information contained in the received packet. Each of the network probes then selectively retains deciphered packet information relating to a subscriber session and/or other prescribed criteria designated for that particular network probe and discards the remaining deciphered packet or portions of the packet so as to balance the load amongst the plurality of probes based upon prescribed load balancing criteria.