Neuromorphic Processor
Overview
BrainChip’s first-to-market neuromorphic processor IP, Akida™, mimics the human brain to analyze only essential sensor inputs at the point of acquisition, processing data with unparalleled efficiency, precision, and economy of energy. Keeping AI/ML local to the chip and independent of the cloud dramatically reduces latency while improving privacy and data security
Key Features
- Neural Processing Unit (NPU) at memory compute architecture implementing Integrate and fire neuron.
- Emulate multiple neurons with configurable Synapses.
- Compute only when events occur.
- Up-to 4 bits for weights and activation.
- 4 NPU interconnect to make up 1 node.
- Multiple Node interconnect via packet switched mesh network.
- Same hardware supports standard CNN after conversion to SNN, and native SNN.
Benefits
- Ultra-low latency
- Runs multiple networks in real-time
- Performs one-shot learning
- Remarkably power efficient
- Cloud independent
- Flexible and quick to deploy
- Privacy and security protected
Block Diagram
Technical Specifications
Availability
now
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