Abstract: An intelligent Radio Access Network (RAN) optimization framework. For an E2 Node, optimization services are initiated for handling by a Near-Real Time RAN Intelligent Controller (RIC) (Near-RT RIC). The E2 Node compares the performance to a first predetermined threshold. In response to the performance being below the first predetermined threshold, the E2 Node takes over optimization of the E2 Node. Otherwise, the Near-RT RIC continues optimization. The E2 Node compares the performance of the E2 Node to a second predetermined threshold. In response to the performance being below the second predetermined threshold, the Near RT RIC resumes handling the optimization. Otherwise, the E2 Node continues to handle the optimization of the performance of the E2 Node. For an Open-RAN Radio Unit (O-RU) Node, the O-RU Node performs local optimization of time-critical functions and a Non-RT RIC is able to perform optimization of non-time critical functions.

Abstract: Methods, systems, and computer storage media for providing predicted task-actions for tasks from a plurality of task applications associated with a task management system. In operation, a task associated with a task application is accessed at a task-action prediction engine. An intent of the task is determined. The intent of the task is determined based on task features and an intent prediction machine learning model that is trained to predict intents associated with natural language text. Based on the intent of the task, a predicted task-action is selected based on a task-action computation model that is associated with predefined task-actions and predefined intent-task-categories. The predicted task-action can be communicated to a task management client that causes display of the predicted task-action in combination with a predicted task-action interface element associated with executing the predicted task-action.

Abstract: A system may include a virtual machine, of a cloud computing environment, that executes a target application workload to be intercepted. A software defined anomaly detection engine (that is separate from the target application workload and that is also executing in the virtual machine) may intercept the target application workload. A computer processor of the software defined anomaly detection engine may intercept network traffic that is external to the virtual machine and associated with the target application workload. The software defined anomaly detection engine may then automatically execute an anomaly detection algorithm in substantially real time on the intercepted network traffic to generate an intercept result. An anomaly detection alert signal may be transmitted based on a comparison of the intercept result and an anomaly threshold value.

Abstract: Processing within a computing environment is facilitated using a corpus processing system to assess and enhance quality of a corpus of unstructured documents for a specified task. The processing includes referencing, by a corpus processing engine, the corpus of unstructured documents to obtain unstructured document data, and applying, by a corpus quality metrics engine, a set of quality metrics to the document data to obtain a set of quality metric scores. Further, the process includes automatically selecting, by a quality metric selection engine, a subset of task-relevant quality metrics using the quality metric scores and the specified task, and automatically transforming, at least in part, multiple documents of the corpus to remediate one or more identified issues with the documents. The automatically transforming results in remediated documents tuned for the specified task, which are provided for the specified task to be performed.

Abstract: Provided herein are system, apparatus, article of manufacture, method and/or computer program product, and/or combinations and sub-combinations thereof, for utilizing a personalized content system to enhance an effectiveness of content being shown to the user via personalized content associated with the content. This method allows the platform to present the most relevant personalized in-channel content to the users, in a user interface, which then correspondingly helps drive user interest. This method scans content to identify objects of interest located within the content, generates a query based on the identified objects of interest and a user profile, searches content sources for related content, associates the related content with an occurrence of a corresponding identified object of interest within the content and communicates, to the user device, the content and the related content for instantiation through a user interface of the user device.

Abstract: Systems, methods, and apparatuses related to a network for behavior modeling are described. A network can include surveillance devices that are each configured to collect pedestrian behavior data corresponding to a geographic region and output local pedestrian behavior model updates to a municipal communication node for the geographic region. The municipal communication node is configured to receive the local pedestrian behavior model updates and output the local pedestrian behavior model updates to a global pedestrian behavior model to aggregate the local pedestrian behavior model updates. A processing device is coupled to the municipal communication node and is configured to output the global pedestrian behavior model to the municipal communication node.

Abstract: A system for Multi-Party Computation (MPC) includes a general-purpose programming language, an MPC processor, an MPC Instruction Set Architecture (ISA), and a compiler. The general-purpose programming language is used for writing an MPC application. The MPC processor executes the MPC application. The MPC ISA corresponds to the MPC processor. The compiler generates an intermediate representation for the MPC application and generates machine code for the intermediate representation by mapping and assembling MPC ISA instructions.

Abstract: Removing metal from metal-carbon material includes contacting the metal-carbon material with hydrogen chloride, thereby yielding a metal chloride in the gas phase and a solid product comprising carbon. The metal-carbon material and the solid product may both contain elemental carbon. A concentration of metal in the solid product is typically less than 1 wt %.

Abstract: Aspects of the present application relate to an optical phase shifter including a first waveguide defined in a first semiconductor layer, the first waveguide comprising a single-mode portion, a multi-mode portion, and a tapered portion coupling the single-mode portion to the multi-mode portion. A second waveguide is defined in a second semiconductor layer, the second waveguide having a tapered portion and a tip, wherein the tapered portion of the second waveguide overlaps with the tapered portion of the first waveguide. For tuning the phase change, a first electrically resistive path, defined at least partially in the first semiconductor layer, is included. The first electrically resistive path intersects the multi-mode portion of the first waveguide.

Abstract: Aspects of the present disclosure provide techniques for classifying a trip. Embodiments include receiving, from a plurality of users, a plurality of historical trip records. Each of the plurality of historical trip records may comprise one or more historical trip attributes and historical classification information. Embodiments include training a predictive model, using the plurality of historical trip records, to classify trips based on trip records. Training the predictive model may comprise determining a plurality of hot spots based on the historical trip records, each of the plurality of hot spots comprising a region encompassing one or more locations, and associating, in the predictive model, the plurality of hot spots with historical classification information. Embodiments include receiving, from a user, a new trip record comprising a plurality of trip attributes related to a trip and using the predictive model to predict a classification for the trip based on the trip record.

Abstract: Photonic interposers that enable low-power, high-bandwidth inter-chip (e.g., board-level and/or rack-level) as well as intra-chip communication are described. Described herein are techniques, architectures and processes that improve upon the performance of conventional computers. Some embodiments provide photonic interposers that use photonic tiles, where each tile includes programmable photonic circuits that can be programmed based on the needs of a particular computer architecture. Some tiles are instantiations of a common template tile that are stitched together in a 1D or a 2D arrangement. Some embodiments described herein provide a programmable physical network designed to connect pairs of tiles together with photonic links.

Abstract: Systems and methods are directed to providing personalized text proofing. A user model that is used to personalize generic critiques for text proofing a document is generated based on user signals indicating past user actions. During runtime of an application used to create the document, the user model is accessed and locally cached. User inputs comprising typed components used to create the document are received and a set of one or more generic critiques for the user inputs is accessed from an editor system. The user model is applied to the set which may modify a generic critique of the set. The modifying of the generic critique can cause the generic critique to be automatically applied or suppressed at the client device. The set including the modified generic critique is transmitted to a user device, whereby the user device applies the set to the document including automatically applying or suppressing the modified generic critique.

Abstract: Cloud units in cloud storage include containers including data containers storing file segments, segment tree containers storing upper-level segments of segment trees representing the files, and cloud containers storing headers from the data and segment tree containers. A header for a data container includes fingerprints identifying the file segments. A header for a segment tree container includes fingerprints identifying the upper-level segments. A storage appliance stores a first level of metadata for each cloud unit in a read-write state, a second level of metadata for each cloud unit in a read-only state, and a third level of metadata for each cloud unit in an offline state. The third level requires less storage than the first and second levels. The second level requires less storage than the first level. The limited metadata space of the appliance is managed by maintaining at least a subset of cloud units in the read-only state.

Abstract: A camera includes a camera focus adjustment device, a lens, and an image sensor coupled to the camera focus adjustment device. The camera focus adjustment device includes a flexure structure. The flexure structure includes an outer framework of structural members continuously interconnected by flexure notch hinges. The flexure structure also includes two inner structural members oriented in parallel and extending from the outer framework of structural members. A gap is between the two inner structural members. The camera focus adjustment device also includes a piezoelectric material within the gap and a pair of wedges within the gap. The pair of wedges is affixed to the piezoelectric material and to one inner structural member of the two inner structural members. Based on temperature-based piezoelectric activity associated with the piezoelectric material, the camera focus adjustment device is operable to move the image sensor relative to the lens.

Abstract: Data migrated from a deduplicated storage appliance are stored as cloud units at cloud storage. Each cloud unit includes containers including data containers storing segments of files, segment tree containers storing upper-level segments of segment trees representing the files, and cloud containers storing headers from the data and segment tree containers. A header for a data container includes fingerprints identifying the segments of files. A header for a segment tree container includes fingerprints identifying the upper-level segments. The cloud units are maintained in different states of accessibility including read-write, read-only, and offline. Upon detecting that local storage of the appliance does not have space to support a cloud unit in a read-write or read-only state, another cloud unit that is in a first state is selected, the first state being the read-write or read-only state. The selected cloud unit is placed in a second state, different from the first state.

Abstract: Embodiments disclosed herein include a method of thermal treatment or radical species treatment of a photoresist a metal-oxide photoresist. In an embodiment, a method of patterning a metal-oxide photoresist, such as a Sn-based photoresist, includes depositing the metal-oxide photoresist over a substrate, exposing the metal-oxide photoresist with an extreme ultra-violet (EUV) exposure to form exposed regions and non-exposed regions, developing the exposed metal-oxide photoresist, and performing a thermal treatment and/or a radical species treatment of the metal-oxide photoresist.

Abstract: Systems and methods provide techniques for more effective and efficient predictive monitoring of a software application framework. In response, embodiments of the present invention provide methods, apparatuses, systems, computing devices, and/or the like that are configured to enable effective and efficient predictive monitoring of a software application framework using incident signatures for the software application that are generated by using a natural language processing machine learning framework, a structured data processing machine learning model, a feature combination machine learning model, and a clustering machine learning model.

Abstract: A method may include, when in a low-power mode of a power converter, monitoring an output voltage of the power converter; comparing, with a single comparator, the output voltage to a first threshold voltage and cause the power converter to enter a magnetization phase of the low-power mode responsive to the output voltage falling below the first threshold voltage; and during the magnetization phase and a demagnetization phase of the low-power mode, comparing, with the single comparator, the output voltage to a second threshold voltage lower than the first threshold voltage and cause the power converter to enter the high-power mode responsive to the output voltage falling below the second threshold voltage.

Abstract: Some embodiments include a camera voice coil motor (VCM) actuator that includes an additive coil structure for shifting a lens along one or multiple axes. The additive coil structure may include a base portion configured to couple with a lens carrier and at least partially surround a perimeter of the lens carrier. In various examples, the additive coil structure may include folded portions that individually include a respective coil that is located proximate a respective magnet. According to various embodiments, the additive coil structure may be formed using an additive process.

Abstract: Semantic analysis to resolve ambiguous user input data with respect to a request for data includes identifying tokens based on the text string, identifying a tables in a database, wherein a token indicates a column from a table and a token indicates a column from another table, identifying candidate join paths for joining tables, obtaining respective candidate results using the candidate join paths, outputting combined candidate results including values from the respective candidate results, obtaining second user input data indicating a selected value, identifying the request for data as unambiguous and identifying a selected join path based on the selected value, and, in response to identifying the request for data as unambiguous, outputting data responsive to the request for data using the selected join path.