Abstract: Techniques and systems disclosed herein may relate to normalizing data in a reconfigurable dataflow processor. For example, a system may conduct layer normalization computations in a forward-propagation pass and save selected computed values (xHat) from the layer normalization computations. The system may then reuse the selected computed values in a backward-propagation pass.

Abstract: A vehicle autosteering system having a controller determines steering commands based on GNSS receiver position data, inertial measurement system data, and steering shaft rotation encoder data. The controller outputs a signal to drive an electric motor that rotates the vehicles steering shaft, changing the steering angle and guiding the vehicle along a predefined path e.g., a straight line.

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: 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: 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 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: 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: A diagnostic monitoring device contains a diagnostic monitor circuit configured to monitor analog diagnostic monitoring information, and configured to convert the analog diagnostic monitoring information to digital diagnostic monitoring information, the diagnostic monitor circuit comprising a first clock or a first oscillator. The diagnostic monitoring device further contains a microcontroller comprising a register map, wherein the microcontroller is configured to receive the digital diagnostic monitoring information, store the digital diagnostic monitoring information in the register map, and provide a clock disable command to the diagnostic monitor circuit. The microcontroller further comprises a communications link for communicating with an external system external to the diagnostic monitoring device.

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: 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, methods, and apparatuses for providing optimization of network resources. The system is operable to monitor the electromagnetic environment, analyze the electromagnetic environment, and extract environmental awareness of the electromagnetic environment. The system extracts the environmental awareness of the electromagnetic environment by including customer goals. The system is operable to use the environmental awareness with the customer goals and/or user defined policies and rules to extract actionable information to help the customer optimize the network resources.

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: Techniques and systems disclosed herein may relate to a server processing work requests of a work requester. For example, the work requester may generate a plurality of work requests comprising functions of an application to be executed by a dependency-aware (DA) server, determine processing dependencies associated with the work requests, communicate, to the DA server, the processing dependencies, and enqueue the work requests on a dependent queue and a conditioned dependent queue based on processing dependencies associated with the DA server. The DA server may then select one of the work requests from the dependent queue or the conditioned dependent queue for processing and processing the selected work request.

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 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 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, 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.