Abstract: Techniques are disclosed for overlaying logical switch fabrics upon a physical switch fabric comprising multiple physical switch devices. In one example, a network device determines an overlay network associated with a received packet. The network device determines a logical identifier that is associated with the overlay network. In some examples, the logical identifier corresponds to a color. The network device selects a logical switch fabric that is associated with the logical identifier from a plurality of other logical switch fabrics that are overlaid upon a physical switch fabric comprising a plurality of network switch devices. The network device forwards the received packet to the selected logical switch fabric for transport across the physical switch fabric.

Abstract: In general, techniques are described for deploying virtualized cell site routers (vCSRs). In an example, a method comprises receiving, at a forwarding plane of a virtualized cell site router (vCSR) of a first Distributed Unit (DU) of a plurality of DU servers of a cell site for a 5G radio access network, the vCSR having a containerized routing protocol process and a forwarding plane configured to perform Layer 2 (L2) switching, L2 packets on a second interface for a second physical link connecting the first DU server to an L2 switch; and switching, by the forwarding plane of the vCSR of the first DU, the L2 packets on a first interface for a first physical link connecting the first DU server to a second DU server of the plurality of DU servers.

Abstract: The invention provides compounds of Formula (I): as described herein, along with pharmaceutically acceptable salts, pharmaceutical compositions containing such compounds, and methods to use these compounds, salts and compositions for treating viral infections.

Abstract: Electro-optical devices and methods for constructing electro-optical devices such as a switch or phase shifter. An electrode layer is deposited on a substrate layer, a waveguide structure is deposited on the electrode layer, a first cladding layer is deposited on the waveguide structure, and the first cladding layer is planarized and bonded to a wafer. The substrate layer is removed and the electrode layer is etched to split the electrode layer into a first electrode separated from a second electrode. A second cladding layer is deposited on the etched electrode layer. The first and second electrodes may be composed of a material with a large dielectric constant, or they may be composed of a material with a large electron mobility. The device may exhibit a sandwich waveguide architecture where an electro-optic layer is disposed between two strip waveguides.

Abstract: A circuit may include (1) an external input, (2) an external output, (3) a flip-flop subcircuit including (A) a first sequential subcircuit for reading data-input signals from the external input, the first sequential subcircuit including a first internal input coupled to the external input and a first internal output and (B) a second sequential subcircuit for outputting data-output signals to the external output, the second sequential subcircuit including a second internal input coupled to the first internal output of the first sequential subcircuit and a second internal output coupled to the external output, and (4) a hysteresis subcircuit coupled to the external output and configured to reduce a short-circuit current of the circuit. Various other devices, systems, and methods are also disclosed.

Abstract: According to one aspect, systems and techniques for adaptive trust calibration may include usage of a driving style predictor, including a memory and a processor. The memory may store one or more instructions and the processor may execute one or more of the instructions stored on the memory to perform one or more acts, actions, or steps, such as receiving a current automated vehicle (AV) driving style, receiving an indication of an event and an associated event type, receiving an indication of a driver takeover, concatenating the current AV driving style and one or more of the event type or the driver takeover to generate an input, and passing the input through a neural network, which may include a gated recurrent unit (GRU), to generate a preference change associated with the AV driving style.

Abstract: In various embodiments, a parameter domain graph application generates UV-net representations of 3D CAD objects for machine learning models. In operation, the parameter domain graph application generates a graph based on a B-rep of a 3D CAD object. The parameter domain graph application discretizes a parameter domain of a parametric surface associated with the B-rep into a 2D grid. The parameter domain graph application computes at least one feature at a grid point included in the 2D grid based on the parametric surface to generate a 2D UV-grid. Based on the graph and the 2D UV-grid, the parameter domain graph application generates a UV-net representation of the 3D CAD object. Advantageously, generating UV-net representations of 3D CAD objects that are represented using B-reps enables the 3D CAD objects to be processed efficiently using neural networks.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for text extraction from a receipt image. An example non-transitory computer readable medium comprises instructions that, when executed, cause a machine to at least improve region of interest detection efficiency by converting pixels of an input receipt image from a first format to a second format, generate a binary representation of the input receipt image based on the converted pixels, the binary representation of the input receipt image corresponding to saturation values for respective ones of the converted pixels, calculate mirror data from the binary representation of the input receipt image, and cluster the binary representation of the input receipt image to identify a first set of candidate regions of interest, the candidate regions of interest characterized by portions of the binary representation of the input receipt image having saturation values that satisfy a threshold value.

Abstract: A method of managing an interaction of a student with a class about a subject, the subject having at least one lesson having at least one topic, the topic having at least one of exposition content, demonstration content and test content, the test content having a query and a scheme for mapping a response to a result, comprising: presenting content to the student and storing the interaction of the student with the content presented.

Abstract: A method comprises monitoring operation of one or more devices of an edge platform, collecting data corresponding to the operation of the one or more devices, and transmitting the data corresponding to the operation of the one or more devices over at least one communications network, via a first server, to a second server. The steps of the method are executed by a processing device operatively coupled to a memory. The processing device is a component of a network switch located in the edge platform.

Abstract: Techniques are disclosed herein for focused training of language models and end-to-end hypertuning of the framework. In one aspect, a method is provided that includes obtaining a machine learning model pre-trained for language modeling, and post-training the machine learning model for various tasks to generate a focused machine learning model. The post-training includes: (i) training the machine learning model on an unlabeled set of training data pertaining to a task that the machine learning model was pre-trained for as part of the language modeling, and the unlabeled set of training data is obtained with respect to a target domain, a target task, or a target language, and (ii) training the machine learning model on a labeled set of training data that pertains to another task that is an auxiliary task related to a downstream task to be performed using the machine learning model or output from the machine learning model.

Abstract: An example system includes a controller having a first controller terminal, a second controller terminal, and a third controller terminal and digitally locked loop (DLL) circuitry having a first DLL terminal and a second DLL terminal, the first DLL terminal coupled to the first controller terminal. The system also includes first retimer circuitry having a first retimer terminal, and a second retimer terminal, and a third retimer terminal, the first retimer terminal coupled to the second DLL terminal and the second retimer terminal coupled to the second controller terminal and second retimer circuitry having a fourth retimer terminal, a fifth retimer terminal, and a sixth retimer terminal, the fourth retimer terminal coupled to the second DLL terminal and the fifth retimer terminal coupled to the third controller terminal.

Abstract: In aspects of rollable screen device with piezoelectric sensing, a mobile device includes a rollable display screen configurable in one of multiple display states corresponding to respective device form factors. The mobile device has one or more piezoelectric sensors that detect forces applied to the rollable display screen of the mobile device. The mobile device implements a selection manager that activates one or more parameters (e.g., volume, call acceptance, call decline) of the mobile device based on the forces detected by the one or more piezoelectric sensors.

Abstract: An apparatus for generating a diagnostic label is disclosed. The apparatus includes at least a processor and memory communicatively connected to the at least a processor. The memory instructs the processor to receive a plurality of electrocardiogram signals and a plurality of electronic health records from a user. The memory instructs the processor to generate a plurality of structured electronic health records using the plurality of electronic health records. The memory instructs the processor to generate a plurality of representations as a function of the plurality of electrocardiogram signals and the plurality of structured electronic health records using a representation machine learning model. The memory instructs the processor to generate a diagnostic label as a function of the plurality of representations. The memory instructs the processor to display the diagnostic label using a display device.

Abstract: In one example, an active variable reactance rectifier circuit includes an active variable reactance rectifier circuit input port and an output port. A power splitter circuit includes an input port coupled to the active variable reactance rectifier circuit input port and a pair of output ports. A first rectifier circuit includes an input port is coupled to the first power splitter circuit output port. A second rectifier circuit includes an input port coupled to the second power splitter circuit output port. A power combiner circuit includes a first input port, a second input port and an output port. The first power combiner circuit input port is coupled to the first rectifier circuit output port, the second power combiner circuit input port is coupled to the second rectifier circuit output port and the power combiner circuit output port is coupled to the active variable reactance rectifier circuit output port.

Abstract: A nimodipine injection concentrate and diluted formulation comprises nimodipine (base or salt), an effective amount of a hydrophilic surfactant, and a pharmaceutically acceptable carrier for injection which is an aqueous solution substantially free of organic solvent, such that the nimodipine is substantially contained in a concentrated injection solution, suspension, emulsion or complex as a micelle or a colloidal particle or an inclusion complex and the formulation is stable and clear. In certain embodiments, the hydrophilic surfactant is polysorbate 80.

Abstract: Systems and methods for dynamic throttling of input/output queues in data storage device arrays are described. Data storage devices are connected through the slots and corresponding lanes of a storage interface switch. A storage controller uses a delay inserted between host submission queues and backend submission queues to manage the priority of host storage commands using slot groups.

Abstract: A communication device includes a battery, a communication module, a first charging circuit between the battery and the communication module, a fast charge signal, a second charging circuit between the battery and the communication module, and a control module configured to route power from the battery to the communication module via the second charging circuit in response to the fast charge signal being enabled and to route the power via the first charging circuit in response to the fast charge signal being disabled.

Abstract: Systems and methods for a software development lifecycle traceability tool. In some aspects, the system may implement a traceability tool that generates a system data stream for an SDLC management platform that stitches together source data from multiple sources, trains a machine learning model to generate progress information and execution risks for a user story on the SDLC management platform, generates a graphical user interface with information for each user story and corresponding progress tracking indicia based on output from the machine learning model, and generates an event-based view of prior actions for each user story and one or more recommended actions to address execution risks.

Abstract: To schedule a future interaction between a caller and a call-center, a management computing system associated with the call center is configured to determine an estimated call time for addressing the caller's issues, based at least in part on a predicted call intent as well as feature enrichment data received from one or more memory storage areas. Upon determining a predicted call duration for the call, the management computing entity accesses the caller's calendar, such as through an internet-based communication between the caller's user computing entity and the management computing entity, or via third-party access permissions provided by the caller. The management computing entity identifies one or more candidate timeslots based at least in part on the predicted call duration, and receives user input selecting a candidate timeslot for scheduling the callback.