Abstract:
In one embodiment, an apparatus comprises a communication interface and a processor. The communication interface is to communicate with a plurality of devices. The processor is to: receive compressed data from a first device, wherein the compressed data is associated with visual data captured by sensor(s); perform a current stage of processing on the compressed data using a current CNN, wherein the current stage of processing corresponds to one of a plurality of processing stages associated with the visual data, and wherein the current CNN corresponds to one of a plurality of CNNs associated with the plurality of processing stages; obtain an output associated with the current stage of processing; determine, based on the output, whether processing associated with the visual data is complete; if the processing is complete, output a result associated with the visual data; if the processing is incomplete, transmit the compressed data to a second device.
Abstract:
Technologies for providing cues to a user of a cognitive cuing system are disclosed. The cues can be based on the context of the user. The cognitive cuing system communicates with a knowledge-based system which provides information based on the context, such as the name of a person and the relationship the user of the cognitive cuing system has with the person. The cues can be provided to the user of the cognitive cuing system through visual, auditory, or haptic means.
Abstract:
This disclosure is directed to a composable thin computing device. An example device may comprise at least a device interface module, a communication module, a processing module, a memory module, a composable computing module and a power module. The device interface module may couple the device to an operational environment via at least one of a physical connector or a wireless connection. The communication module may at least one of transmit or receive data via the device interface module. The processing module may process the data. The memory module may store at least a portion of the data. The composable computing module may cause at least one of the above modules to perform certain functionality related to the operational environment. The power module may power at least one of the above modules.
Abstract:
Generally, this disclosure provides systems, devices, methods and computer readable media for context based spectrum management. A device may include a user preference determination module to determine a level-of-service preference of a user of the device, the preference associated with an application. The device may also include a user state determination module, to determine a state of the user, and a device capability determination module, to determine capabilities of the device. The device may further include an application programming interface (API) to provide the context to a cloud-based server configured to manage spectrum. The context includes the preference, the state and the capabilities. The API is further configured to receive content delivery options from the cloud-based server.
Abstract:
Provided are apparatuses and methods for transmitting or receiving data packets in a data block in a communication network with a transport protocol. In one example, a loss tolerant TCP protocol is used in which a maximum segment size (MSS) may be adapted to a minimum granularity of a congestion window. Also, proactive forward error correction (FEC) packets may be added to a window of the data block. The number of proactive FEC packets may be determined, for example, based on an estimate erasure rate. In addition, reactive FEC packets may be added to the data block. Also, a receiver may receive data packets in a data block and process a selective acknowledgment (SACK) responsive to the data packets received.
Abstract:
Methods, apparatus, systems, and articles of manufacture are disclosed that calibrate error aligned uncertainty for regression and continuous structured prediction tasks/optimizations. An example apparatus includes a prediction model, at least one memory, instructions, and processor circuitry to at least one of execute or instantiate the instructions to calculate a count of samples corresponding to an accuracy-certainty classification category, calculate a trainable uncertainty calibration loss value based on the calculated count, calculate a final differentiable loss value based on the trainable uncertainty calibration loss value, and calibrate the prediction model with the final differentiable loss value.
Abstract:
In one embodiment, an apparatus comprises processing circuitry to: receive, via a communication interface, a compressed video stream captured by a camera, wherein the compressed video stream comprises: a first compressed frame; and a second compressed frame, wherein the second compressed frame is compressed based at least in part on the first compressed frame, and wherein the second compressed frame comprises a plurality of motion vectors; decompress the first compressed frame into a first decompressed frame; perform pixel-domain object detection to detect an object at a first position in the first decompressed frame; and perform compressed-domain object detection to detect the object at a second position in the second compressed frame, wherein the object is detected at the second position in the second compressed frame based on: the first position of the object in the first decompressed frame; and the plurality of motion vectors from the second compressed frame.
Abstract:
Systems and methods to provide distributed wireless communications from a plurality of wireless network devices are disclosed. The plurality of wireless network devices may be configured to provide direction communications with one or more user devices. This may be performed by adjusting one or more radio parameters associated with the plurality of wireless network devices. The plurality of wireless network devices may cooperate with each other to provide network connectivity for the one or more user devices with relatively high fidelity, relatively high bandwidth, and relatively low power consumption. The plurality of wireless network devices may further provide distributed processing capability to perform tasks for user devices that may provide task requests.
Abstract:
Systems and methods to provide distributed wireless communications from a plurality of wireless network devices are disclosed. The plurality of wireless network devices may be configured to provide direction communications with one or more user devices. This may be performed by adjusting one or more radio parameters associated with the plurality of wireless network devices. The plurality of wireless network devices may cooperate with each other to provide network connectivity for the one or more user devices with relatively high fidelity, relatively high bandwidth, and relatively low power consumption. The plurality of wireless network devices may further provide distributed processing capability to perform tasks for user devices that may provide task requests.
Abstract:
An ad hoc network may be established between vehicles using a wireless connection. The wireless network may be used for sending and receiving information about road conditions, such as average speed, a location and configuration of a road obstruction, images of an accident scene, and a traffic flow plan. The wireless network may also be used for communicating with emergency response vehicles in order to enable faster and more effective responses to accidents.