BrainChip, a specialist of ultra-low power, high-performance AI technology, has begun volume manufacturing of its Akida™ AKD1000 neuromorphic processor chip for edge AI devices. The engineering layout for BrainChip’s high-performance, ultra-low power chip was designed in partnership with Socionext, a global developer of
Tag: Socionext
Leopard Imaging collaborates with Socionext, Hailo, and AWS to launch EdgeTuring
Leopard Imaging, a leading global provider of embedded camera design and manufacturing, is collaborating with three leading companies to deliver EdgeTuring™: a next-generation artificial intelligence (AI) processing solution for video analytics. Leopard is working with Hailo, an AI chipmaker for edge devices, Socionext,
Synopsys and Socionext expand collaboration to deploy HBM2E IP for 5-nanometer process in AI and high-performance computing SoCs
Synopsys and Socionext announced their collaboration to expand Socionext's use of Synopsys' broad DesignWare® IP to include Synopsys' HBM2E IP for maximum memory throughput in AI and high-performance computing (HPC) applications. Socionext selected Synopsys' HBM2E IP, operating at 3.6 Gbps, to meet the
Socionext and Osaka University develop deep learning method for object detection in low-light conditions
BrainChip and Socionext jointly provide new low-power artificial intelligence platform for AI edge applications
BrainChip, a specialist provider of ultra-low power high performance AI technology, announced that Socionext will offer customers an Artificial Intelligence Platform that includes the Akida SoC, an ultra-low power high performance AI technology. BrainChip has developed an advanced neural networking processor that brings
Socionext prototypes low-power AI chip with quantized deep neural network engine
Socionext has developed a prototype chip that incorporates newly-developed quantized Deep Neural Network (DNN) technology, enabling highly-advanced AI processing for small and low-power edge computing devices. The prototype is a part of a research project on "Updatable and Low Power AI-Edge LSI Technology