SHANGHAI--(BUSINESS WIRE)--VeriSilicon (688521.SH), a leading Silicon Platform as a Service (SiPaaS ®) company, today announced its neural network processor (the Vivante 1 NPU) IP designed for ...

"Based on our carbon-based tensor processor chip, we built a five-layer convolutional neural network that can perform image recognition tasks with an accuracy rate of up to 88% and a power ...

VeriSilicon’s Vivante VIP8000 Neural Network Processor IP Delivers Over 3 Tera MACs Per Second Groundbreaking IP brings real-time 1080p scene classification, object detection, and pixel ...

Syntiant Core 3 neural network Supports more than 6M neural parameters (in 8-bit mode) Hardware acceleration over 30 GOPS Dual 11-wire direct image interface Dual PDM digital microphone interface ...

Intel is not alone in its quest to speed up neural networks. Google has developed cloud-based silicon called Tensor Processing Units, and Nvidia is pushing its GPUs as a solution to neural network ...

The HITOP optical processor achieves O(N²) operations per cycle, enhancing AI model training with high scalability and energy ...

A processing unit in an NVIDIA GPU that accelerates AI neural network processing and high-performance computing (HPC). There are typically from 300 to 600 Tensor cores in a GPU, and they compute ...

To test their AN module, the researchers plugged it into four of the most widely used neural network architectures: ResNets, DenseNets, MobileNetsV2 and AOGNets.