BrainChip partners with Edge Impulse for a platform that mimics the brain

BrainChip and Edge Impulse have announced a partnership to deliver next-generation machine learning platforms. The companies aim to mainstream BrainChip’s neuromorphic technology, which is based on spiking neural networks.

Both companies will combine their technologies to enable faster development cycles, reduced time to market and a competitive advantage. This should ultimately fuel the adoption of neuromorphic computing, which roughly mimics the brain.

BrainChip will be the world’s first commercial neuromorphic IP vendor to contribute its ultra-low-power Akida processor architecture to neuromorphic edge AI. Edge Impulse is a leading edge AI development company that delivers platforms, tools and services for sensor, audio and vision applications.

Edge Impulse and BrainChip address the goal of developers to create smart devices by implementing AI/ML capabilities in their products. “Integrating solutions like BrainChip’s neuromorphic IP deployment with our ML platform will empower developers and enterprise customers to build advanced machine learning solutions quickly and efficiently, positioning them well as leaders in their respective markets are,” said Zach Shelby, co-founder and CEO of Edge Impulse.

The partnership combines BrainChip’s unique intellectual property with Edge Impulse’s design platform into one solution. “We continue to seek partnerships that foster opportunities to enable a wide range of edge AI capabilities such as continuous learning and real-time inference. Edge Impulse is a perfect fit to our ecosystem of vendors enabling next-generation technologies for markets around the world,” said Jerome Nadel, BrainChip’s chief marketing officer.

Neuromorphic computing is based on asynchronous neural networks, similar to the brain. This architecture supports on-chip learning and learning based on little training data. It has been shown to offer big improvements in performance and performance in select applications. Although the technology has been researched by various organizations, it was not commercialized until January of this year by BrainChip. In April, BrainChip also announced a partnership with SiFive.