Abstract: A blade computing system is described with a wireless communication between blades. In one embodiment, the system includes a first blade in the enclosure having a radio transceiver to communicate with a radio transceiver of a second blade in the enclosure. The second blade has a radio transceiver to communicate with the radio transceiver of the first blade. A switch in the enclosure communicates with the first blade and the second blade and establishes a connection through the respective radio transceivers between the first blade and the second blade.

Abstract: A host fabric interface (HFI), including: first logic to communicatively couple a host to a fabric; and second logic to provide a disaggregated telemetry engine (DTE) to: receive notification via the fabric of available telemetry data for a remote accelerator; allocate memory for handling the telemetry data; and receive the telemetry data from the disaggregated accelerator.

Abstract: Systems, apparatuses and methods may provide for technology that identifies a first set of compute nodes and a second set of compute nodes, wherein the first set of compute nodes execute more slowly than the second set of compute nodes. The technology may also automatically determine a compute node configuration that results in a relatively low difference in completion time between the first set of compute nodes and the second set of compute nodes with respect to a neural network workload. In an example, the technology applies the compute node configuration to an execution of the neural network workload on one or more nodes in the first set of compute nodes and one or more nodes in the second set of compute nodes.

Abstract: Technologies for dividing work across one or more accelerator devices include a compute device. The compute device is to determine a configuration of each of multiple accelerator devices of the compute device, receive a job to be accelerated from a requester device remote from the compute device, and divide the job into multiple tasks for a parallelization of the multiple tasks among the one or more accelerator devices, as a function of a job analysis of the job and the configuration of each accelerator device. The compute engine is further to schedule the tasks to the one or more accelerator devices based on the job analysis and execute the tasks on the one or more accelerator devices for the parallelization of the multiple tasks to obtain an output of the job.

Abstract: Technologies for providing accelerated functions as a service in a disaggregated architecture include a compute device that is to receive a request for an accelerated task. The task is associated with a kernel usable by an accelerator sled communicatively coupled to the compute device to execute the task. The compute device is further to determine, in response to the request and with a database indicative of kernels and associated accelerator sleds, an accelerator sled that includes an accelerator device configured with the kernel associated with the request. Additionally, the compute device is to assign the task to the determined accelerator sled for execution. Other embodiments are also described and claimed.

Abstract: Particular embodiments described herein provide for a network element that can be configured to receive a request related to one or more disaggregated resources, link the one or more disaggregated resources to a local counter, receive performance related data from each of the one or more disaggregated resources, and store the performance related data in the local counter.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to optimize a guard band of a hardware resource. An example apparatus includes at least one storage device, and at least one processor to execute instructions to identify a phase of a workload based on an output from a machine-learning model, the phase based on a utilization of one or more hardware resources, and based on the phase, control a guard band of a first hardware resource of the one or more hardware resources.

Abstract: Systems and techniques for an objective driven orchestration are described herein. In an example, system is adapted to receive a request for a service workload, including a set of performance objectives for the service workload. The set of performance objectives may indicate Quality of Service (QoS) for the performance of the service workload. The system may be further adapted to determine a plan for the service workload. The plan may orchestrate a set of actions to fulfill the set of performance objectives. The system may be further adapted to initiate execution of the service workload in accordance with the set of actions of the plan. They system may be further adapted to monitor execution of the service workload for an effect associated with each action of the set of actions and compliance with the set of performance objectives.

Abstract: Technologies for dynamically managing resources in disaggregated accelerators include an accelerator. The accelerator includes acceleration circuitry with multiple logic portions, each capable of executing a different workload. Additionally, the accelerator includes communication circuitry to receive a workload to be executed by a logic portion of the accelerator and a dynamic resource allocation logic unit to identify a resource utilization threshold associated with one or more shared resources of the accelerator to be used by a logic portion in the execution of the workload, limit, as a function of the resource utilization threshold, the utilization of the one or more shared resources by the logic portion as the logic portion executes the workload, and subsequently adjust the resource utilization threshold as the workload is executed. Other embodiments are also described and claimed.

Abstract: An auxiliary wheel system for a scooter includes an auxiliary wheel, an arm, an drive assembly, and an operation module. The arm has a first end fixed to the auxiliary wheel, and a second end pivotally fixed to a frame of the scooter via a joint attached at the second end. The drive assembly is configured to pivot the arm about the joint between a raised position and a lowered position with respect to the frame wherein the auxiliary wheel is vertically offset from a ground surface and in the lowered position. The operation module is configured to cause the arm to pivot about the joint between the raised position and the lowered position based on a tilt of the frame with respect to the ground surface exceeding a threshold value.

Abstract: Technologies for allocating resources of managed nodes to workloads to balance multiple resource allocation objectives include an orchestrator server to receive resource allocation objective data indicative of multiple resource allocation objectives to be satisfied. The orchestrator server is additionally to determine an initial assignment of a set of workloads among the managed nodes and receive telemetry data from the managed nodes. The orchestrator server is further to determine, as a function of the telemetry data and the resource allocation objective data, an adjustment to the assignment of the workloads to increase an achievement of at least one of the resource allocation objectives without decreasing an achievement of another of the resource allocation objectives, and apply the adjustments to the assignments of the workloads among the managed nodes as the workloads are performed. Other embodiments are also described and claimed.

Abstract: Technologies for offloading acceleration task scheduling operations to accelerator sleds include a compute device to receive a request from a compute sled to accelerate the execution of a job, which includes a set of tasks. The compute device is also to analyze the request to generate metadata indicative of the tasks within the job, a type of acceleration associated with each task, and a data dependency between the tasks. Additionally the compute device is to send an availability request, including the metadata, to one or more micro-orchestrators of one or more accelerator sleds communicatively coupled to the compute device. The compute device is further to receive availability data from the one or more micro-orchestrators, indicative of which of the tasks the micro-orchestrator has accepted for acceleration on the associated accelerator sled. Additionally, the compute device is to assign the tasks to the one or more micro-orchestrators as a function of the availability data.

Abstract: A control system for a vehicle and method for controlling a vehicle component. The control system includes a sensor and a controller. The sensor senses vibrations of the vehicle and senses alterations to the vibrations that result from user contact with a handle of the vehicle. The alterations are associated with a particular vehicle component and/or a particular predetermined function to be performed by the vehicle component. The controller receives an indication of the vibrations and the alterations from the sensor, and then causes the vehicle component to perform the predetermined function that is associated with the alterations.

Abstract: Apparatuses and methods for providing change of custody signaling in a wireless sensor network are disclosed herein. In embodiments, an apparatus for providing transfer of custody signaling in a wireless sensor network (WSN) may be provided. The apparatus may include communications circuitry to interact with a cloud server to receive an instruction regarding a change of custody for at least one sensor node within a WSN, the at least one sensor node assigned to the apparatus for tracking, and the instruction may identify a second apparatus within the WSN to assume custody of the at least one sensor. The apparatus may further include a control unit coupled to the communications circuitry to signal the second apparatus and the at least one sensor node regarding the transfer of custody, wherein the signaling is over a wireless protocol of the WSN.

Abstract: This disclosure describes a vehicle system for identifying environmental objects within an operator's surroundings in a first window and removing object obstructions through a neural network in a second window to generate a rendered window, or scene, for display. As more windows are processed, the neural network may increase its understanding of the surroundings. The neural network may be a generative adversarial network (GAN) that may be trained to identify environmental objects by introducing noise data into those environmental objects. After receiving a first window from at least one camera on the vehicle, a rendered window may be created from a second window received from the at least one camera based on environmental objects identified within the first window through the GAN and removing object obstructions. The rendered window, without the object obstructions, and having superimposed environmental objects based on the GAN, may be displayed on an output device.

Abstract: A technology is described for a wireless sensor network. An example method may include detecting an aircraft takeoff preparation event using cabin air pressure data and accelerometer data indicating that an aircraft is preparing for takeoff. Transmitting a listen command to sensor nodes included in a sensor network, the listen command instructing the sensor nodes to disable the wireless network transmissions and listen for commands transmitted by the gateway. Disabling gateway wireless transmissions to the sensor nodes and a computing network. Detecting a landing event using the cabin air pressure data and the accelerometer data indicating that the aircraft has landed. Enabling the gateway wireless transmissions to the sensor nodes and the computing network, and transmitting an enable command to the sensor nodes included in the sensor network, the enable command instructing the sensor nodes to enable the wireless network transmissions and resume sending sensor data to the gateway.

Abstract: A repair system for a vehicle includes a base and a lift component movably secured to the base for lifting a portion of a frame of the vehicle. An air compressor unit is disposed on the base and has a discharge hose configured to be selectively connected to the tire for delivering compressed. A sealant reservoir is disposed on the base and filled with a flat tire sealant. The discharge hose is optionally configured to deliver the flat tire sealant to the tire. A controller is disposed on the base and receives tire data from the vehicle and controls discharge of the compressed air from the air compressor unit to the tire and optionally controls discharge of the flat tire sealant to the tire based on the tire data. The tire data includes a tire pressure reading associated with the tire.

Abstract: Technologies for allocating resources of managed nodes to workloads to balance multiple resource allocation objectives include an orchestrator server to receive resource allocation objective data indicative of multiple resource allocation objectives to be satisfied. The orchestrator server is additionally to determine an initial assignment of a set of workloads among the managed nodes and receive telemetry data from the managed nodes. The orchestrator server is further to determine, as a function of the telemetry data and the resource allocation objective data, an adjustment to the assignment of the workloads to increase an achievement of at least one of the resource allocation objectives without decreasing an achievement of another of the resource allocation objectives, and apply the adjustments to the assignments of the workloads among the managed nodes as the workloads are performed. Other embodiments are also described and claimed.

Abstract: A dynamic optical microphone system may include an acoustic microphone that receives an audio signal and a laser microphone that transmits a laser beam and receives optical feedback from a human struck by the laser beam. The system may include a depth sensor that determines a distance to the human and a camera that tracks human faces. A processor may be communicatively coupled to the acoustic microphone, laser microphone, depth sensor, camera, and a memory storing computer executable instructions. The processor may determine a direction to a human, direct the laser beam at a voice box of the human, determine a distance to the human using the depth sensor, adjust an intensity of the laser beam based on the distance, receive optical feedback and isolate a voice signal through the optical feedback from background noise in the audio signal.

Abstract: A mobile communication device to provide tuning assistance for a motorcycle. The mobile communication device includes a plurality of sensing devices and a processor. The processor controls the plurality of sensing devices to capture a first signal over a period of time based on a trigger input. The first signal corresponds to at least one component of the motorcycle in a first operational state of the motorcycle. The processor further detects a deviation between one or more parameters of the captured first signal and baseline information corresponding to the first operational state of the motorcycle. The baseline information indicates a range of baseline values. The processor further output tuning information based on a determination that the detected deviation is out of the range of baseline values.