Abstract: A method of memory reset includes precharging bit lines of a memory array, asserting a signal at a reset node to remove the precharge voltage, and selecting write drivers associated with the bit lines associated with columns of the memory array that contain memory cells to be reset, with the assertion of the signal at the reset node also resulting in application of desired logic states to inputs of the selected write drivers to cause those selected write drivers to change a logic state of the bit lines associated with those write drivers. The method continues with asserting each word line associated with a row of the memory that contains memory cells to be reset to write desired logic states to all of the memory cells of the columns and rows of the memory to be reset during a single clock cycle, and then deasserting those word lines.

Abstract: An electronic lock can enter a lockdown mode in response to a lockdown command comprising a mechanical command, e.g. a button or door handle being pressed on the lock in a predefined time-series sequence, or touching the lock in a time-series sequence). Alternatively, an audio or visual command can be issued, e.g. saying certain words or making a hand gesture. The lock may require additional authentication before executing the lockdown command, e.g. recognizing an authorized electronic key. Other embodiments are also provided.

Abstract: A method includes receiving an energy transfer mode input identifying a selected energy transfer mode for the first vehicle, and receiving a total energy request input identifying a value of total requested energy associated with the selected energy transfer mode for the first vehicle. The operations also include receiving a first power transfer limit input including a first power transfer limit value associated with the selected energy transfer mode for the first vehicle, and receiving a second power transfer limit input including a second power transfer limit value associated with the selected energy transfer mode for the first vehicle. The operations also include selecting a power transfer limit from the lesser of the first power transfer limit value and the second power transfer limit value, and initiating a power transfer between the first vehicle and the second vehicle at the selected power transfer limit.

Abstract: A task agnostic framework for neural model transfer from a first language to a second language, that can minimize computational and monetary costs by accurately forming predictions in a model of the second language by relying on only a labeled data set in the first language, a parallel data set between both languages, a labeled loss function, and an unlabeled loss function. The models may be trained jointly or in a two-stage process.

Abstract: A matrix multiplication circuit comprises a memory storage device, processing circuitry, a parallel multiply circuit, and buffer circuits. The parallel multiply circuit simultaneously performs a count of multiplies in a parallel multiplication operation. The buffer circuits include prefetch buffer circuits each having a storage array dimension corresponding to the count of multiplies in the parallel multiplication operation. The processing circuitry loads a first prefetch buffer circuit with values from the first matrix; fetches a value of the second matrix and, in parallel with the fetch, preload the second prefetch buffer circuit with another value from the first matrix; initiates a parallel multiply of the fetched value of the second matrix and the values in the first prefetch buffer circuit; and stores partial product results of the parallel multiply, including adding a current partial product result to a previously stored partial product result.

Abstract: Data is received that specifies a term generated by user input in a graphical user interface. Thereafter, the term is looked up in a dictionary in which there are multiple classes for terms. The term can be classified based on a first class having a top ranked effective count for the term within the dictionary when a ratio of the first class relative to a second class having a second ranked effective count for the term in the dictionary is above a pre-defined threshold. In addition, the term is classified using a machine learning model when the ratio of the first class relative to the second class is below the pre-defined threshold. Data can be provided which characterizes the classifying. Related apparatus, systems, techniques and articles are also described.

Abstract: A network device may determine, based on a provisioning request to host an application platform, a configuration of resources of a network for maintaining the application platform within the network. The network device may provision the resources to permit access to the application platform via a domain. The network device may receive, from a user device, a domain request that includes the domain, wherein the domain request is associated with configuring an application session between an application of the user device and the application platform. The network device may provide, to the user device, a response that includes an address of a host resource of the application platform, wherein the host resource is one of the resources. The network device may receive, from the user device, a session request that includes the address and may establish the application session between the user device and the host resource.

Abstract: Systems and methods for identifying one or more master tables of a datalake are described. A system may obtain a plurality of computer readable tables of a datalake (with each computer readable table including one or more features). The system may also group the plurality of computer readable tables into a plurality of groups based on a number of features of each computer readable table of the plurality of computer readable tables. The system may further generate, for each of one or more groups of the plurality of groups, one or more neighborhoods based on a similarity of features between computer readable tables of the group. The system may also identify, for each neighborhood, one or more master tables from the one or more computer readable tables of the group. The system may further provide an indication of one or more master tables identified in the datalake.

Abstract: One embodiment provides a method, including: receiving a dataset and a model corresponding to a bias checker, wherein the bias checker detects bias within both the dataset and the model, based upon a bias checking algorithm and a bias checking policy, wherein the dataset comprises a plurality of attributes; testing the bias checking algorithm of the bias checker by (i) generating test cases that modify the dataset by introducing bias therein and (ii) running the bias checker against the modified dataset; testing the bias checking policy of the bias checker by generating a plurality of test cases and running the bias checker against the plurality of test cases; and providing a notification to a user regarding whether the bias checker failed to indicate bias for one or more of the plurality of attributes.

Abstract: A web browser plugin or other software can be used to integrate visualization of analytical and/or debugging information related to a web page that is being viewed. Particular elements on the web page that are instrumented for tracking can be visually augmented, allowing a developer to see where and how certain aspects of web page functionality are being tracked and/or implemented. Certain information relating to the web page may be surfaced via a graphical area that is displayed concurrently with the web page, e.g., within the web browser that is being used to view the web page. The graphical area can also include selectable elements that can be used to launch additional queries into back-end services related to the web page. The present techniques allow for not only better and more convenient visualization of web page related data, but can speed up development time, reducing both computing and developer resources.

Abstract: Embodiments herein provide a wireless communication system for managing a network slice congestion. The wireless communication system includes a User Equipment (UE), operably coupled to a core network. The UE is configured to transmit a first NAS signaling message to the core network, wherein the first NAS signaling message comprises a specific network slide identity. The core network i configured to detect the network slice congestion in the wireless communication system. Further, the core network is configured to indicate the network slice congestion using a second NAS signaling message to the User Equipment (UE), wherein the second NAS signaling message comprising a reject cause value and a back off timer for the requested network slice identity.

Abstract: Methods and systems for image registration using an intelligent artificial agent are disclosed. In an intelligent artificial agent based registration method, a current state observation of an artificial agent is determined based on the medical images to be registered and current transformation parameters. Action-values are calculated for a plurality of actions available to the artificial agent based on the current state observation using a machine learning based model, such as a trained deep neural network (DNN). The actions correspond to predetermined adjustments of the transformation parameters. An action having a highest action-value is selected from the plurality of actions and the transformation parameters are adjusted by the predetermined adjustment corresponding to the selected action. The determining, calculating, and selecting steps are repeated for a plurality of iterations, and the medical images are registered using final transformation parameters resulting from the plurality of iterations.

Abstract: Methods, systems, and computer-readable media are disclosed herein that monitor and improve network performance and reliability of a plurality of devices and nodes. In aspects, alert types are categorized based on the role, model, and operating system of a device or node within the network for which the alert was generated. A command set that is responsive to the alert and that is specially configured for the role, model, and operating system of the device or node is automatically selected to address the alert. The command set can be executed against the device or node (or neighboring device/node) in order to investigate the cause or source of the alert. Based on the results returned by the command set's execution, remediation actions can be selected and implemented to improve the technological performance (e.g., memory, CPU, connectivity) of the device or node in the network.

Abstract: Described herein are systems and methods for analyzing biological samples. Including a method for processing an analyte, comprising providing a fluidic device comprising the analyte and one or more polymer precursors; selecting a discrete area within said fluidic device; providing an energy source in optical communication with fluidic device; and selectively supplying a unit of energy generated from the energy source to the fluidic device to generate a polymer matrix within the fluidic device, wherein the polymer matrix is within the discrete area or adjacent to the discrete area.

Abstract: Content delivery optimization and recommendation is disclosed. A manner of delivering a content object to a mobile device may be determined at least in part by applying a behavior model associated with a user of the mobile device to attributes associated with the content object. The behavior model may be generated based at least in part on observed activities of the user. The content object is provided to the mobile device in the determined manner.

Abstract: A method for driving electro-optic displays so as to reduce visible artifacts are described. Such methods include driving extra pixels where the boundary between a driven and undriven area would otherwise lead to artifact by providing paired sets of driving instructions, allowing the undriven area to be driven while maintain the desired (undriven) optical state.

Abstract: Examples may include a method of protecting memory and I/O transactions. The method includes allocating memory for an application, assigning a resource of a physical device to the application, assigning a process address space identifier to the assigned resource, creating a security enclave to protect the allocated memory of the application, and associating the security enclave with the process address space identifier to protect the allocated memory and the assigned resource.

Abstract: In various example embodiments, a system and method for consistent schema-less and scalable database storage are described herein. A data object is generated. The data object corresponds to a column of a table from a database. The data object includes information regarding an order that is placed over a network publication system. The data object is stored in the column of the table in the database. A request to access the data object is received from a device of a first user. The data object is transmitted to the device of the first user. The data is kept coherent during concurrent updates by using optimistic locks. The data is kept backward and forward compatible utilizing intermediate data structures common to both versions of the software. The data is kept searchable by using lookup indexes. The storage system is kept scalable by sharding data across many databases.

Abstract: Embodiments of the invention are directed to systems, methods, and computer program products for dynamic analysis and detection of transformed transient data in a distributed system network. The system is structured for validating, determining and evaluating temporal data transformations associated with technology resource components across iterations of technology applications for maintaining backward compatibility. The system comprises an execution module structured for executing technology resource components in a plurality of testing technology environments concurrently. The system further comprises an analysis module structured for evaluating iterations of a first technology resource component by comparing the transformed first testing output with the transformed second testing output to determine modifications to the first iteration of the first technology resource component in the second iteration of the first technology resource component that succeeds the first iteration.

Abstract: A wireless communication network selects Network Functions (NFs) using a first Network Repository Function (NRF) and a second NRF. The first NRF receives first status data from a first set of the NFs and transfers the first status data to the second NRF. The second NRF receives second status data from a second set of the NFs and transfers the second status data to the first NRF. The first NRF receives a request for one of the NF types and responsively identifies status data for the one of the NF types. The first NRF indicates the status data. The second NRF receives another request for another one of the NF types and responsively identifies status data for the other one of the NF types. The second NRF transfers another response that indicates status data. The wireless communication network selects individual ones of the NFs based the status data.