BrainChip's Akida is an advanced neuromorphic processor that excels in efficiency and performance, processing data similar to the human brain by focusing on essential sensory inputs. This approach drastically reduces power consumption and latency compared to conventional methods by keeping AI local to the chip. Akida’s architecture, which scales to support up to 256 nodes, allows for high efficiency with a small footprint. Nodes in the Akida system integrate Neural Network Layer Engines configurable as either convolutional or fully connected, maximizing processing power by handling data sparsity through event-based operations.
