Edge AI on-chip processing and learning company BrainChip Holdings Ltd has launched a compact, portable computation device to accelerate AI processing for various sectors such as manufacturing, warehouse, retail, hospitals, energy, automotive, and aviation.
Named Akida Edge AI Box, it claims to mimic the brain's learning ability through event-based neural processing. This approach reduces the need for consistent cloud connectivity, enhancing data security and efficiency while lowering processing costs.
Dual Akida processors enable on-chip learning independent of the cloud, which powers the AI gadget. The design targets enhancing application security, reducing training overhead, and hastening learning.
In partnership with electronics innovation and manufacturing company VVDN Technologies, users can develop custom versions of the product with original equipment manufacturers (OEMs) for large-scale commercial applications.
Real world applications
The Akida Edge AI Box is already being applied in various real-world scenarios such as edge AI model training and development, gesture recognition, climate forecasting, model evaluation, cybersecurity enhancement, and computer vision analysis.
“The Akida Edge Box is a great platform for running AI in standalone edge environments where footprint, cost and efficiency are critical while not compromising performance,” said Sean Hehir, BrainChip CEO.
Hehir expressed his excitement about rolling out even more use cases with other partners who seek to develop edge AI for their customers' specific use cases. He adds that the company looks forward to “the ideas these companies will bring to life with the Akida Edge AI Box.”
