Abstract: Described embodiments provide systems and apparatuses for enhanced quality of service, steering and policy enforcement for https traffic via intelligent in-line path discovery of a TLS terminating node. The system may include a first network device having a secure connection traversing through the first network device, and in communication with a second network device. The first network device and the second network device may be intermediary to a client device and a server. The first network device may determine that the second network device terminates the secure connection. The first network device may receive key generation information of the secure connection from the second network device following determining the second network device terminates the secure connection.

Abstract: An example optical switch includes a plurality of input ports and a plurality of output ports, a cross-connect fabric having one or more inputs, one or more outputs, and a device to selectively cross-connect the inputs with the outputs. The optical switch includes an integrated fast optical switch comprising a first input, a first output, and a second output, wherein the first input is connected to a first one of the outputs of the cross-connect fabric, and wherein the integrated fast optical switch has a switching time that is less than a switching time of the cross-connect fabric to switch the first input between the first output on a path to a first output port of the plurality of output ports and the second output on a path to a second output port of the plurality of output ports.

Abstract: Techniques for generating and executing an execution plan for a machine learning (ML) model using one of an edge device and a non-edge device are described. In some examples, a request for the generation of the execution plan includes at least one objective for the execution of the ML model and the execution plan is generated based at least in part on comparative execution information and network latency information.

Abstract: Exemplary apparatus includes a nonvolatile memory, a volatile memory separate from the nonvolatile memory, and a controller configured to access the volatile memory and the nonvolatile memory. Exemplary volatile memory is configured to function as a read/write cache. The controller may be configured to perform a read/modify/write memory operation that involves both the volatile memory and the nonvolatile memory. Exemplary devices may have a host interface and may include a data connection configured to perform double data rate data transfer. Exemplary volatile memory may support byte-granularity memory read operations, and the density of the volatile memory may be substantially less than the density of the nonvolatile memory.

Abstract: Embodiments described include systems and methods for management and pre-establishment of network application and secure communication sessions. Session logs may be analyzed to identify an application or secure communication sessions likely to be accessed, and prior to receiving a request to establish the session, an intermediary (e.g. another device such as an intermediary appliance or other device, or an intermediary agent on a client such as a client application) may pre-establish the session, performing any necessary handshaking or credential or key exchange processes. When the session is subsequently requested (e.g. in response to a user request), the system may immediately begin using the pre-established session. This pre-establishment may be coordinated within the enterprise providing load balancing and scheduling of session establishment to prevent large processing loads at any one point in time.

Abstract: Techniques are described for providing a hybrid compensation of chromatic dispersion in optical networks to reduce power consumption by coherent receivers. In some examples, a controller may receive a chromatic dispersion value of an optical signal from a coherent receiver integrated with a receiver optical network device. The controller may compare the chromatic dispersion value with a threshold. The controller may, in response to determining that the chromatic dispersion value satisfies the threshold, perform at least one of: configure a switch connected to a dispersion compensation module (DCM) with a state to provide access to the DCM to compensate the chromatic dispersion value of the optical signal, or adjust a phase response of a filter of a coherent transmitter to compensate the chromatic dispersion value of the optical signal.

Abstract: A method implemented at one or more base stations for a power management of the one or more base stations in a wireless communication network is disclosed. The method includes transmitting, by the one or more base stations, a plurality of Key Performance Indicator (KPI) parameters associated with the one or more base stations to a federal server controller. The method includes receiving, by the one or more base stations from the federal server controller, a KPI relationship predicting a future load based on the plurality of KPI parameters associated with the one or more base stations. The method includes adjusting, by the one or more base stations, a Central Processing Unit (CPU) frequency associated with the one or more base stations autonomously based on the KPI relationship for managing the future load associated with the one or more base stations.

Abstract: A method and an electronic device for managing network resources among application traffic are provided. The method comprises identifying a real time application that is running on the electronic device and consuming network resources, determining whether the real time application belongs to a prioritized class, based on the real time application belonging to the prioritized class, determining a User Identifier (UID) of the real time application, and prioritizing the network resources for the real time application based on the UID.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for generating a patient profile. One method includes generating a patient profile corresponding to a patient that comprises profile data items and profile data parameters. Generating a synthesized context-aware rendition of a patient summary from the profile data items and the profile data parameters. Mapping doctor specialties and data workflows in relation to the synthesized context-aware rendition of the patient summary.

Abstract: According to examples, an apparatus may include a processor and a memory on which is stored machine-readable instructions that when executed by the processor, may cause the processor to identify configuration information to be used by an on-premise access management service to provide authentication services to applications by users. The processor may also transform the identified configuration information into a transformed set of configuration information to be used by a cloud-based access management service to provide authentication services to the applications by users. In addition, the processor may store the transformed set of configuration information for use by the cloud-based access management service to provide authentication services to the applications by users to migrate authentication of the users from the on-premise access management service to the cloud-based access management service.

Abstract: A data analysis system determines characteristics of a data set such as statistical measures, analytical insights, data trends, or relationships with other data sets. The system determines a level of importance for each determined characteristic using metadata associated with the data set, and, in some cases, user preferences provided by the user. Such metadata may include descriptive names, data types, and data characteristics of the data set and of data elements within the data set.

Abstract: An apparatus (100) comprises at least one electronic processor (101, 113) programmed to: control an associated medical imaging device (120) to acquire an image (130); compute values of textural features (132) for the acquired image; generate a signature (140) from the computed values of the textural features; and at least one of: display the signature on a display device (105); and apply an artificial intelligence (AI) component (150) to the generated signature to output image artifact metrics (152) for a set of image artifacts and display an image quality assessment based on the image artifact metrics on the display device.

Abstract: Embodiments herein provide a method for predicting iterations for decoding an encoded data at an electronic device. The method includes: receiving, by the electronic device, the encoded data; detecting, by the electronic device, signal parameters associated with the encoded data; predicting, by the electronic device, one of a cyclic redundancy check (CRC) failure, CRC success, and a CRC uncertainty in iterations for decoding the encoded data based on the signal parameters using a Neural Network (NN) model.

Abstract: Systems and techniques are disclosed for a centralized platform for enhanced automated machine learning using disparate datasets. An example method includes receiving user specification of one or more data sources to be integrated with the system, the data sources storing datasets to be utilized to train one or more machine learning models by the system, and the datasets reflecting user interaction data. A dataset is imported from the data source, and machine learning models are automatically trained based a particular machine learning model recipe of a plurality of machine learning model recipes. A first trained machine learning model is implemented, with the system being configured to respond to queries based on the implemented machine learning model, and with the responses including personalized recommendations.

Abstract: A composite polymeric film wear layer for application as a surface protection layer to impart lower gloss, higher scratch resistance, wear performance and comfort under foot to hard surface substrates is provided. Hard surface substrate made with the composite as well as methods for application are also provided.

Abstract: A system for controlling a motor with a plurality of motor control functions including at least a current control loop and a velocity control loop. The system includes one of a hybrid Digital Signal Processor (DSP)-Field Programmable Gate Array (FPGA) architecture having an integral DSP and an integral FPGA or a System on a Chip (SoC) architecture having a Microcontroller Sub-System (MSS) and an FPGA fabric. The current control loop function is assigned to the integral FPGA for the hybrid DSP-FPGA architecture, and at least the velocity control loop function is assigned to the DSP the hybrid DSP-FPGA architecture. Alternatively, the current control loop function is assigned the FPGA fabric of the SoC architecture, and at least the velocity control loop function is assigned to the MSS of the SoC architecture.

Abstract: A method and system for classifying components in a product data management (PDM) environment is disclosed. A method includes obtaining data files having information associated with a component to be classified in a PDM database. Each data file includes different types of information associated with the component. A series of predictions indicating a probability of the component belonging to one or more categories is computed based on each type of information associated with the component using one or more artificial intelligence models. An overall probability of the component belonging to the one or more categories is computed based on each of the series of predictions. The component is classified in at least one category of the one or more categories based on the computed probability of the component belonging to the one or more categories. The category associated with the classified component is output on a graphical user interface.

Abstract: Compounds and methods for their preparation and use as therapeutic or prophylactic agents, for example for treatment of cancer, bacterial or viral diseases by targeting Ectonucleotide Pyrophosphatase/Phosphodiesterase-1 (ENPP1).

Abstract: Most semiconductor devices manufactured today, have uniform dopant concentration, either in the lateral or vertical device active (and isolation) regions. By grading the dopant concentration, the performance in various semiconductor devices can be significantly improved. Performance improvements can be obtained in application specific areas like increase in frequency of operation for digital logic, various power MOSFET and IGBT ICs, improvement in refresh time for DRAMs, decrease in programming time for nonvolatile memory, better visual quality including pixel resolution and color sensitivity for imaging ICs, better sensitivity for varactors in tunable filters, higher drive capabilities for JFETs, and a host of other applications.