Akida first neuromorphic IP available on the market. Inspired by the biological function of neurons and engineered on a digital logic process, the Akida’s event-based spiking neural network (SNN) performs trillions of operations per second while consuming minimal power. When using the unique BrainChip SNN conversion flow, the event-based nature of SNNs allow converted networks to be implemented with very low power consumption and high throughput. Based on neuromorphic SNNs, Akida’s Neuromorphic IP enables unsupervised learning to support autonomous edge applications. Akida’s Neuromorphic IP can be easily integrated with any ASIC controller via standard AIX bus interfaces.
Complete Neural Processor for Edge AI
Overview
Key Features
- Designed for mW Edge AI Applications
- Simple to complex neural networks at minimum power
- Unsurpassed performance and accuracy
- Edge learning
- Flexible Training Methods
- Supports native SNN training
- Supports pre-trained networks such as CNNs
- Data to spike conversion
- Scalable Neuron Fabric
- Configurable neurons and synapses
- 1 to 4 bit weights and activations
- Technology Independent
- Digital CMOS, no special process elements
- Available as soft IP / RTL
Benefits
- Akida Neuron Fabric
- Array of flexible Neural Processing Cores
- Can be arrayed as needed for network sizing
- Interconnect network for spike transmission
- Embedded SRAM
- On-Chip Conversion Complex
- Flexible pixel-spike converter for either grey scale or RGB data
- Programmable data-spike converter for all other datatypes
- Industry standard interface
- AXI BUS
- DMA engines
- Clock Speed: KHz – 500MHz
- Power Consumption: Can be implemented in mW—no host CPU required to run the network
- Area
- Dependent upon NPU array size and technolgy node supported by Akida Development Environment
- SNN conversion flow
- Native SNN flow
Block Diagram
Applications
- Edge AI Vision Systems
- ADAS/AV
- Drones/vision guided robotics
- AR/VR
- Video surveillance
- Gesture learning and recognition
- DVS systems
- Industrial Internet of Things (IIoT)
- Environmental monitoring/control
- Predictive maintenance
- Audio
- Key word spotting
- Vibrational analysis
- Cybersecurity
Deliverables
- The Akida Neuromorhpic IP is available as standard RTL for designing into embedded systems.
- Additionally, BrainChip will provide testbenches and other standard IP integration support infrastructure.
Technical Specifications
Foundry, Node
any digital process. Synthesizable RTL and SRAM
Maturity
Validated in Silicon
Availability
Now
Related IPs
- Neural network processor designed for edge devices
- ARC NPX Neural Processing Unit (NPU) IP supports the latest, most complex neural network models and addresses demands for real-time compute with ultra-low power consumption for AI applications
- Floating Point Processor for Embedded Systems
- High-performance Processor for Real-time and Linux Applications
- Highly powerful and scalable multi-mode communication processor for IoT wireless applications
- 2D Graphics Processor for Wearables/IoT