BrainChip Holdings Ltd. will highlight innovative features of the Akida 2.0 architecture platform to attendees of the tinyML Asia Technical Forum November 16th in Seoul, Korea. Machine learning (ML) is at the forefront of providing artificial intelligence to all aspects of computing. It is the technology powering many of today's advanced applications from image recognition to voice interfaces to self-driving vehicles and beyond.

Many of these initial ML applications require significant computational resources, most often found in cloud-scale data centers. To enable industry usage and adoption, it is, therefore, necessary to significantly reduce the power consumed to bring applications to end devices at the cloud edge (smartphones, wearables, vehicles, IoT devices, etc.) and to reduce the load on required data center resources. The Akida neural processor is designed to provide a complete ultra-low power Edge AI network processor for vision, audio, smart transducers, vital signs and, more broadly, any sensor application.

BrainChip's scalable solutions, which can be used standalone or integrated into systems on chip to execute today's models and future networks directly in hardware, empowers the market to create much more intelligent, cost-effective devices and services that can be universally deployed across real-world applications in connected cars, healthcare, consumer electronics, industrial IoT, smart-agriculture and more, including use in a space mission and in the most stringent conditions.