BrainChip shares received a boost on Thursday, after the developer of ultra-low-power high-performance artificial intelligence technology, announced it will be taking orders of two development kits for its Akida advanced neural networking processor.
The move enables partners, large enterprises, and OEMs to begin internal testing and validation of Akida’s performance. The Akida Neuromorphic System-on-Chip and intellectual property enable a wide array of edge AI capabilities that include continuous learning and inference.
The processor is inspired by the spiking nature of the human brain and is implemented in an industry-standard digital process. By mimicking brain processing BrainChip has pioneered a processing architecture that is both scalable and flexible to address the requirements in edge devices.
BrainChip said it is offering two development kits both including the Akida chip on a mini-PCI board: an X86 Shuttle PC development kit as well as an ARM-based Raspberry Pi development kit.
BrainChip’s Akida brings artificial intelligence to the edge in a way that existing technologies are not capable of. The solution is high-performance, small, ultra-low power and enables a wide array of edge capabilities, that can be used in applications including Smart Home, Smart Health, Smart City and Smart Transportation. These applications include but are not limited to home automation and remote controls, industrial IoT, robotics, security cameras, sensors, unmanned aircraft, autonomous vehicles, medical instruments, object detection, sound detection, odour and taste detection, gesture control and cybersecurity.
BrainChip co-founder and chief development officer, Anil Mankar noted that “Offering development kits is not only a major step towards full commercialisation, but also an exciting opportunity to see how our partners and future customers will put Akida to work in environments and scenarios like consumer electronics, industrial applications, aerospace and defense systems, healthcare and medical devices, automotive technology, and more. We believe the Akida silicon, or the licensing of Akida in a configurable IP format, will lead to major changes in industries using AI at the edge because of its performance, security, low power requirements, and mainly Akida’s ability to perform AI training and learning on the device itself, without dependency on the cloud.”