12 Sep '17, 8pm
SAN JOSE, Calif. — An emerging company with a novel machine-learning technology and equally unique financial structure debuted its first hardware product today. BrainChip rolled out an FPGA-based accelerator for its spiking neural network (SNN) software and hopes to deliver an ASIC within two years to expand its existing markets. SNNs are related but different from the convolutional neural nets (CNNs) now widely used and, some say, hyped by web giants for jobs like voice and image recognition. SNNs use a simpler, one-shot training method and are well-suited to tasks such as face recognition in low-resolution and noisy environments such as surveillance video. To date, BrainChip’s products are used mainly by law enforcement and security. The BrainChip accelerator packs six SNN cores in a Xilinx Kintex chip on a PCI Express board processing video at up to 600 frames/s at abou...