Abstract: Methods, apparatus, systems and articles of manufacture to trigger calibration of a sensor node using machine learning are disclosed. An example apparatus includes a machine learning model trainer to train a machine learning model using first sensor data collected from a sensor node. A disturbance forecaster is to, using the machine learning model and second sensor data, forecast a temporal disturbance to a communication of the sensor node. A communications processor is to transmit a first calibration trigger in response to a determination that a start of the temporal disturbance is forecasted and a determination that a first calibration trigger has not been sent.

Abstract: Methods, apparatus, systems and articles of manufacture to trigger calibration of a sensor node using machine learning are disclosed. An example apparatus includes a machine learning model trainer to train a machine learning model using first sensor data collected from a sensor node. A disturbance forecaster is to, using the machine learning model and second sensor data, forecast a temporal disturbance to a communication of the sensor node. A communications processor is to transmit a first calibration trigger in response to a determination that a start of the temporal disturbance is forecasted and a determination that a first calibration trigger has not been sent.

Abstract: In one embodiment, an apparatus comprises a communication interface and a processor. The communication interface is to communicate with a plurality of cameras. The processor is to obtain metadata associated with an initial state of an object, wherein the object is captured by a first camera in a first video stream at a first point in time, and wherein the metadata is obtained based on the first video stream. The processor is further to predict, based on the metadata, a future state of the object at a second point in time, and identify a second camera for capturing the object at the second point in time. The processor is further to configure the second camera to capture the object in a second video stream at the second point in time, wherein the second camera is configured to capture the object based on the future state of the object.

Abstract: Embodiments described herein are generally directed to the use of sidecars to perform dynamic API contract generation and conversion. In an example, a first call by a first microservice to a first API of a second microservice is intercepted by a first sidecar of the first microservice. The first API is of a first API type of multiple API types and is specified by a first contract. An API type of the multiple API types is selected by the first sidecar. Responsive to determining the selected API type differs from the first API type, based on the first contract, a second contract is generated by the first sidecar specifying a second API of the selected API type; and a second sidecar of the second microservice is caused to generate the second API and internally connect the second API to the first API based on the second contract.

Abstract: Embodiments described herein are generally directed to a transparent and adaptable mechanism for performing secure application communications through sidecars. In an example, a set of security features is discovered by a first sidecar of a first microservice of multiple microservices of an application. The set of security features are associated with a device of multiple devices of a set of one or more host systems on which the first microservice is running. Information regarding the set of discovered security features is made available to the other microservices by the first sidecar by sharing the information with a discovery service accessible to all of the microservices. A configuration of a communication channel through which a message is to be transmitted from a second microservice to the first microservice is determined by a second sidecar of the second microservice by issuing a request to the discovery service regarding the first microservice.

Abstract: An apparatus to facilitate matchmaking-based enhanced debugging for microservices architectures is disclosed. The apparatus includes one or more processors to: detect, by an anomaly detector in a sidecar of a microservice hosted by a container, an anomaly in telemetry data generated by the microservice, the microservice hosted in a container executed by the processor and part of a service of an application; enable, by an enhanced debug and trace component of the sidecar, a debug mode in the microservice, the debug mode based on a type of the anomaly; collect, by the enhanced debug and trace component, a target set of data points generated by the microservice; and process, by the enhanced debug and trace component, the target set of data points with a matchmaking process to generate a timestamp and a tag for a context for each data point of the target set of data points.

Abstract: Various approaches for deploying and controlling distributed compute operations with the use of infrastructure processing units (IPUs) and similar networked processing units are disclosed. For example, a request to verify integrity of a device is received at a networking infrastructure device. A representation of device components of the device may be obtained. The representation of the device components may be compared with a reference value held by the networking infrastructure device. A response to the request may be transmitted based on matching the representation of the device components and the reference value. Here, the response indicates that the integrity of the device is intact.

Abstract: Various approaches for service mech switching, including the use of infrastructure processing units (IPUs) and similar networked processing units, are disclosed. For example, a packet that includes a service request for a service may be received at a networking infrastructure device. The service may include an application that spans multiple nodes in a network. An outbound interface of the networking infrastructure device may be selected through which to route the packet. The selection of the outbound interface may be based on a service component of the service request in the packet and network metrics that correspond to the service. The packet may then be transmitted using the outbound interface.

Abstract: Systems, apparatuses and methods may provide for origination camera technology that generates a cell representation of a local space associated with an origination camera in a multicast domain, predicts that an object in the local space will exit the local space and enter one or more adjacent spaces associated with additional cameras in the multicast domain, and sends the cell representation and a trajectory of the object to the additional cameras before the object exits the local space. Additionally, transition camera technology may generate a leader election message based on a multicasted trajectory of an object and a predicted trajectory of the object, send the leader election message from a transition camera to one or more additional cameras in a multicast domain, and track the object in the local space in response to a leader notification message.

Abstract: System and techniques for an environmental control loop are described herein. A device for an environmental control loop can include a memory including instructions and processing circuitry that when in operation, can be configured by the instructions to receive environmental sensor data from a first component in a set of heterogeneous components installed in an environment with a controller. The environmental sensor data can indicate a service level value sensed by the first component. The controller can also measure a violation of a service level objective based on comparing the environmental sensor data to a threshold. The controller can also transmit an adjustment to an operating parameter of a second component of the set of heterogeneous components. The adjustment can be operative to attenuate the violation of the service level objective when implemented by the second component.

Abstract: Systems, apparatuses and methods may provide for technology that detects an unidentified individual at a first location along a trajectory in a scene based on a video feed of the scene, wherein the video feed is to be associated with a stationary camera, and selects a non-stationary camera from a plurality of non-stationary cameras based on the trajectory and one or more settings of the selected non-stationary camera. The technology may also automatically instruct the selected non-stationary camera to adjust at least one of the one or more settings, capture a face of the individual at a second location along the trajectory, and identify the unidentified individual based on the captured face of the unidentified individual.

Abstract: A robotic walking assistant includes a wheeled base having a base and one or more position adjustable wheels connected to the base, a body disposed in a vertical direction, positioned on the wheeled base and having a handle, and a control system that receives command instructions. Each of the one or more wheels is slidable with respect to the base between a retracted position and an extended position in a direction that is substantially parallel to a surface where the wheeled base moves. In response to the command instructions, the control system moves the one or more wheels between the retracted positions and the extended positions.

Abstract: A robotic assistant includes a wheeled base, a storage unit including drawers, a foldable arm connected to a top of the storage unit and including an end of arm tooling (EOAT) connected to a distal end of the foldable arm, an elevation mechanism positioned on the wheeled base and used to move the storage unit up and down, and a control system that receives command instructions. In response to the command instructions, the control system is configured to move the wheeled base, open or close the one or more drawers, actuate movement of the foldable arm and the EOAT to pick up and place external objects from/to a determined location, and control the storage unit to move up/down.

Abstract: The application relates to an autonomous recommendation system, including: one or more BESs each configured to generate anonymous data representing customer-related information based on content streams from product-related cameras installed in a branch corresponding to the BES, and provide recommendation content to the branch based on the anonymous data; one or more ECSs each configured to aggregate the anonymous data from one or more BESs corresponding to respective branches in a region corresponding to the ECS to generate aggregated anonymous data shareable among regions corresponding to respective ECSs; and a DO configured to coordinate operations of the BESs and the ECSs based on predefined policies.

Abstract: Systems, apparatuses and methods may provide for technology that identifies a sequence of events associated with a computer architecture, categorizes, with a natural language processing system, the sequence of events into a sequence of words, identifying an anomaly based on the sequence of words and triggering an automatic remediation process in response to an identification of the anomaly.

Abstract: According to one aspect, an actuator of a robotic drawer is disclosed. The actuator may include a plurality of articulation components that form an articulated rack. The actuator may include a plurality of pins each coupled to an exterior of one of the plurality of articulation components. The actuator may include a transformer box coupled to a pinion and configured to move along an exterior of the articulated rack as the pinion moves along the surface. The transformer box may include a first guide configured to apply a first force to an arm of each of the pins as the transformer box moves in a first direction. The first force may cause the pin to rotate in a first rotational direction until the arm is fitted into a cam of the articulated rack such that adjacent articulation components are held in a fixed position, causing the articulated rack to extend.

Abstract: Systems, apparatuses and methods may provide for technology that identifies a sequence of events associated with a computer architecture, categorizes, with a natural language processing system, the sequence of events into a sequence of words, identifying an anomaly based on the sequence of words and triggering an automatic remediation process in response to an identification of the anomaly.

Abstract: Methods, apparatus, systems and articles of manufacture to trigger calibration of a sensor node using machine learning are disclosed. An example apparatus includes a machine learning model trainer to train a machine learning model using first sensor data collected from a sensor node. A disturbance forecaster is to, using the machine learning model and second sensor data, forecast a temporal disturbance to a communication of the sensor node. A communications processor is to transmit a first calibration trigger in response to a determination that a start of the temporal disturbance is forecasted and a determination that a first calibration trigger has not been sent.

Abstract: In one embodiment, an apparatus comprises a communication interface and a processor. The communication interface is to communicate with a plurality of cameras. The processor is to obtain metadata associated with an initial state of an object, wherein the object is captured by a first camera in a first video stream at a first point in time, and wherein the metadata is obtained based on the first video stream. The processor is further to predict, based on the metadata, a future state of the object at a second point in time, and identify a second camera for capturing the object at the second point in time. The processor is further to configure the second camera to capture the object in a second video stream at the second point in time, wherein the second camera is configured to capture the object based on the future state of the object.

Abstract: Systems, apparatuses and methods may provide for origination camera technology that extracts data from multimodal sensor signals associated with a scene and generates a five-dimensional (5D) representation of the scene, wherein the 5D representation includes a three-dimensional (3D) visual representation, a one-dimensional (1D) temporal representation, and a 1D branch representation. The technology may also store the 5D representation as a set of abstract descriptors.