Abstract: Techniques related to poly-scale kernel-wise convolutional neural network layers are discussed. A poly-scale kernel-wise convolutional neural network layer is applied to an input volume to generate an output volume and include filters each having a number of filter kernels with the same sample rate and differing dilation rates optionally in a repeating pattern of dilation rate groups within each of filters with the pattern of dilation rate groups offset between the filters the poly-scale kernel-wise convolutional neural network layer.

Abstract: Systems, methods, apparatuses, and computer program products to receive a plurality of binary weight values for a binary neural network sampled from a policy neural network comprising a posterior distribution conditioned on a theta value. An error of a forward propagation of the binary neural network may be determined based on a training data and the received plurality of binary weight values. A respective gradient value may be computed for the plurality of binary weight values based on a backward propagation of the binary neural network. The theta value for the posterior distribution may be updated using reward values computed based on the gradient values, the plurality of binary weight values, and a scaling factor.

Abstract: Embodiments are generally directed to sparse 3D convolution acceleration in a convolutional layer of an artificial neural network model. An embodiment of an apparatus includes one or more processors including a graphics processor to process data; and a memory for storage of data, including feature maps. The one or more processors are to provide for sparse 3D convolution acceleration by applying a shared 3D convolutional kernel/filter to an input feature map to produce an output feature map, including increasing sparsity of the input feature map by partitioning it into multiple disjoint input groups; generation of multiple disjoint output groups corresponding to the input groups by performing a convolution calculation represented by the shared 3D convolutional kernel/filter on all feature values associated with active/valid voxels of each input group to produce corresponding feature values within corresponding output groups; and outputting the output feature map by sequentially stacking the output groups.

Abstract: Apparatuses, methods, and GPUs are disclosed for universal loss-error-aware quantization (ULQ) of a neural network (NN). In one example, an apparatus includes data storage to store data including activation sets and weight sets, and a network processor coupled to the data storage. The network processor is configured to implement the ULQ by constraining a low-precision NN model based on a full-precision NN model, to perform a loss-error-aware activation quantization to quantize activation sets into ultra-low-bit versions with given bit-width values, to optimize the NN with respect to a loss function that is based on the full-precision NN model, and to perform a loss-error-aware weight quantization to quantize weight sets into ultra-low-bit versions.

Abstract: The present invention is to provide a combination antenna having multi-mode and multi-band arrangements, which comprises a conductive seat; a non-uniform helical antenna extending from one end of the conductive seat; and a pole antenna extending from one end of the conductive seat through the helical antenna, enabling to be tuned to three or more resonant frequencies through tuning the helical antenna to a plurality of resonant frequencies and tuning the pole antenna to a plurality of resonant frequencies different from that to which the helical antenna is tuned.

Abstract: A radio navigation system for use with an automobile audio device is provided. The radio navigation system includes a positioning receiver having a modulation transmitter and receiving a positioning signal, wherein the modulation transmitter converts the positioning signal into a modulated signal and then transmits the modulated signal; a demodulation receiver mounted in the automobile audio device, receiving the modulated signal and converting the modulated signal into a voice signal to the automobile audio device; and an output device outputting the voice signal and the positioning signal.

Abstract: The present invention is to provide a combination antenna having multi-mode and multi-band arrangements, which comprises a conductive seat; a non-uniform helical antenna extending from one end of the conductive seat; and a pole antenna extending from one end of the conductive seat through the helical antenna, enabling to be tuned to three or more resonant frequencies through tuning the helical antenna to a plurality of resonant frequencies and tuning the pole antenna to a plurality of resonant frequencies different from that to which the helical antenna is tuned.