The 2nd Generation Akida builds upon BrainChip's neuromorphic legacy, broadening the range of supported complex network models with enhancements in weight and activation precision up to 8 bits. This generation introduces additional energy efficiency, performance optimizations, and greater accuracy, catering to a broader set of intelligent applications. Notably, it supports advanced features like Temporal Event-Based Neural Networks (TENNs), Vision Transformers, and extensive use of skip connections, which elevate its capabilities within spatio-temporal and vision-based applications.
Designed for a variety of industrial, automotive, healthcare, and smart city applications, the 2nd Generation Akida boasts on-chip learning which maintains data privacy by eliminating the need to send sensitive information to the cloud. This reduces latency and secures data, crucial for future autonomous and IoT applications. With its multipass processing capabilities, Akida addresses the challenge of limited hardware resources smartly, processing complex models efficiently on the edge.
Offering a flexible and scalable IP platform, it is poised to enhance end-user experiences across various industries by enabling efficient real-time AI processing on compact devices. The introduction of long-range skip connections further supports intricate neural networks like ResNet and DenseNet, showcasing Akida's potential to drive deeper model efficiencies without excessive host CPU calculation dependence.
