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Automaker evaluates BrainChip’s FPGA-based Neuromorphic Accelerator for autonomous driving, ADAS applications

Xilinx Employee
Xilinx Employee
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Last month, I described BrainChip’s neuromorphic BrainChip Accelerator PCIe card, a spiking neural network (SNN) based on a  Xilinx Kintex UltraScale FPGA. (See “FPGA-based Neuromorphic Accelerator board recognizes objects 7x more efficiently than GPUs on GoogleNet, AlexNet.”) Now, BrainChip Holdings has announced that it has shipped a BrainChip Accelerator to “a major European automobile manufacturer” for evaluation in ADAS (Advanced Driver Assist Systems) and autonomous driving applications. According to BrainChip’s announcement, the company’s BrainChip Accelerator “provides a 7x improvement in images/second/watt, compared to traditional convolutional neural networks accelerated by Graphics Processing Units (GPUs).”



BrainChip FPGA Board.jpg 


BrainChip Accelerator card with six SNNs instantiated in a Kintex UltraScale FPGA


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