BrainChip Holdings and Socionext Inc will offer customers an AI Platform that includes the Akida SoC, an ultra-low power high performance AI technology.
BrainChip Holdings and Socionext Inc will offer customers an AI Platform that includes the Akida SoC, an ultra-low power high performance AI technology. BrainChip has developed an advanced neural networking processor that brings artificial intelligence to the edge in a way that existing technologies are not capable. This innovative, event-based, neural network processor is inspired by the event-based nature of the human brain. The resulting technology is high performance, small, ultra-low power and enables a wide array of edge capabilities that include local inference and incremental learning.
Socionext has played an important role in the implementation of BrainChip’s Akida IC, which required the engineering teams from both companies to work in concert. BrainChip’s AI technology provides a complete ultra-low power AI Edge Network for vision, audio, and smart transducers without the need for a host processor or external memory. The need for AI in edge computing is growing, and Socionext and BrainChip plan to work together in expanding this business in the global market.
Complementing the Akida SoC, BrainChip will provide training and technical customer support, including network simulation on the Akida Development Environment (ADE), emulation on a Field Programmable Gate Array (FPGA) and engineering support for Akida applications.
Socionext also offers a high-efficiency, parallel multi-core processor SynQuacerTM SC2A11 as a server solution for various applications. Socionext’s processor is available now and the two companies expect the Akida SoC engineering samples to be available in the third quarter of 2020.
In addition to integrating BrainChip’s AI technology in an SoC, system developers and OEMs may combine BrainChip’s proprietary Akida device and Socionext’s processor to create high-speed, high-density, low-power systems to perform image and video analysis, recognition and segmentation in surveillance systems, live-streaming and other video applications.
“Our neural network technology enables ultra-low power AI technology to be implemented effectively in edge applications”, said Louis DiNardo, CEO of BrainChip. “Edge devices have size and power consumption constraints that require a high degree of integration in IC solutions. The combination of BrainChip’s technology and Socionext’s ASIC expertise fulfills the requirements of edge applications. We look forward to working with the Socionext in commercial engagements.”
