Abstract: A latency processing system detects traffic at a cloud service end point and analyzes packets in the detected traffic to identify a network configuration of a client that is accessing the cloud service. Latency components corresponding to different parts of the network configuration are identified and quantified. A recommendation engine is controlled to generate and surface an output indicative of recommendations for reducing network latency.

Abstract: A guidance device is disclosed. The device may comprise a tracking pad with a guiding opening and a plurality of sensors operable with at least one beacon on a needle to track the disposition of the needle at least when a distal end of the needle is inserted into the guiding opening. Related systems and methods are also disclosed.

Abstract: Various embodiments are generally directed to techniques for intuitive machine learning (ML) development and optimization, such as for application in a content services platform (CSP), for instance. Many embodiments include a ML model developer and a ML model evaluator to provide a graphical user interface that guides ML layman in developing, evaluating, implementing, managing, and/or optimizing ML models. Some embodiments are particularly directed to a common interface that provides a step-by-step user experience to develop and implement ML techniques. For example, embodiments may include computing a health score for various aspects of developing and/or optimizing ML models, and using the health score, and the factors contributing thereto, to guide production of a valuable ML model. These and other embodiments are described and claimed.

Abstract: Various embodiments are generally directed to techniques for dynamically integrating ML functionality into computing systems, such as a content services platform (CSP), for instance. Many embodiments include ML integrated into a CSP and using production content as corpora (e.g., training and/or evaluation data). Some embodiments are particularly directed to generating and updating data for training and evaluating machine learning (ML) models, then making identified ML models available in various target environments. For example, embodiments may provide automatic, or semi-automatic, updating and deploying of ML models for making inferences, such as inferring labels for data in a content repository of a CSP.

Abstract: A circuit having multiple inputs and multiple outputs the circuit being for switching signals received at any of the inputs to any of the outputs, the circuit comprising: a first switch matrix, the first switch matrix being capable of directing signals received at the inputs of the circuit to multiple first intermediate ports; a second switch matrix, the second switch matrix being capable of directing signals received at multiple second intermediate ports to multiple third intermediate ports, the number of the second intermediate ports being less than the number of the inputs of the circuit; one or more primary bypass links, each primary bypass link being capable of coupling one or more of the first intermediate ports to a respective one or more of the outputs of the circuit independently of the second switch matrix; a first redirection layer, the first redirection layer being capable of, for each first intermediate port, directing a signal received at that first intermediate port to a primary bypass link or

Abstract: Systems, apparatuses, and methods for dynamically adjusting cache policies to reduce execution core wait time are disclosed. A processor includes a cache subsystem. The cache subsystem includes one or more cache levels and one or more cache controllers. A cache controller partitions a cache level into two test portions and a remainder portion. The cache controller applies a first policy to the first test portion and applies a second policy to the second test portion. The cache controller determines the amount of time the execution core spends waiting on accesses to the first and second test portions. If the measured wait time is less for the first test portion than for the second test portion, then the cache controller applies the first policy to the remainder portion. Otherwise, the cache controller applies the second policy to the remainder portion.

Abstract: A secure private network connectivity system (SNCS) within a cloud service provider infrastructure (CSPI) is described that provides secure private network connectivity between external resources residing in a customer's on-premise environment and the customer's resources residing in the cloud. The SNCS provides secure private bi-directional network connectivity between external resources residing in a customer's external site representation and resources and services residing in the customer's VCN in the cloud without a user (e.g., an administrator) of the enterprise having to explicitly configure the external resources, advertise routes or set up site-to-site network connectivity.

Abstract: Multiple example valve amplifiers are provided. A first example valve amplifier is provided which comprises (i) a valve power amplifier switchable between a high-power mode and a low-power mode and (ii) a loudspeaker simulator circuit, the valve amplifier being configured such that the valve power amplifier drives the loudspeaker simulator circuit in the low-power mode. A second example valve amplifier is provided which comprises a switched-mode power supply, SMPS, system), the SMPS system comprising (i) an SMPS and (ii) circuitry configured to enable an output impedance of the SMPS to be switched between first and second output impedances, the first output impedance being lower than the second output impedance.

Abstract: A guidance method comprising: placing a tracking pad adjacent a body, the tracking pad including a guiding opening and a plurality of sensors, locating a distal end of a needle inside of the guiding opening at an insertion point adjacent the body, the needle including at least one beacon, operating the plurality of sensors with the at least one beacon to track an actual disposition of the needle, establishing a target disposition for the needle, moving the needle in a direction of movement to synchronize the actual disposition with the target disposition, and inserting the distal end of the needle into the body along an insertion axis.

Abstract: A method may comprise receiving, at a central controller, a command, from a remote control, to adjust a feature of a first component of an air mattress framework; relaying, from the central controller, the command to the first component; receiving from the first component at the central controller, an indication of the success of the command; and relaying the indication from the central controller to the remote control.

Abstract: A container lid including a container top and a closure coupled to the container top. The container top defines a lid opening. The closure is rotatable about a closure rotation axis between a closed position in which the lid opening is closed and an open position in which the lid opening is open. The closure has a proximal end positioned at the closure rotation axis and a distal end positioned away from the axis. A push button is movably coupled to the closure and is movable between first and second push button positions. In the first push button position, the closure is retained in the closed position. In the second push button position, the closure is not retained in the closed position. The push button is positioned at the proximal end of the closure. The push button is rotatable about the closure rotation axis.

Abstract: Disclosed herein are downhole landing assemblies including a downhole landing assembly for an oil or gas well, downhole landing assembly may include: an upper seat cylinder capable of being coupled to an upper portion of a tubular string; a lower seat cylinder capable of being coupled to a lower portion of the tubular string, wherein the lower seat cylinder may be coupled to the upper seat cylinder; a landing seat coupled to the lower seat cylinder, the landing seat may have two inner surfaces; and a landing mandrel having two outer surfaces, wherein one outer surface of the two outer surfaces may be capable of being abutted against one inner surface of the two inner surfaces.

Abstract: Respiratory therapy apparatus includes an oscillating expiratory therapy device and pressure and flow sensors in the patient inlet connected to supply signals to a processor. The processor includes artificial intelligence software to correlate the output signals with prescribed values and control a feedback device that prompts the patient accordingly to adjust use of the device as necessary. The feedback device may be of a visual, audible or tangible kind. The processor may also automatically adjust a setting dial of the therapy device by means of an actuator.

Abstract: Apparatus, systems, and methods for a modular heating unit that may be adapted to be inline with a pipeline. The unit includes a base member having a main inlet pipe, a header, and pipes connecting the main inlet pipe with the header. A combustion chamber is positioned within the pipes. One or more heat exchangers are connected to the header. The heat exchangers each having a top surface, bottom surface, plurality of fins, inlet ring, inlet port, outlet ring, and outlet port. The modular heating unit includes external inlet and outlet pipes. A first flow path enables fluid to flow from the header into the one or more heat exchangers. An exit flow path connected to the external outlet pipe connects the one or more heat exchangers to an exit port with a portion of the exit flow path being positioned above the one or more heat exchangers.

Abstract: A method may include obtaining connection-related data associated with user equipment (UE) devices operating in a network, wherein the UE devices include unmanned aerial vehicles (UAVs) and devices other than UAVs. The method may include storing the connection-related data; identifying, in the stored connection-related data, data associated with known UAVs and filtering the stored connection-related data based on a distance associated with a known UAV. The method may further include training a machine learning classifier using the filtered data and executing the machine learning classifier to identity UAVs operating in the network.