AkidaTM is a neural processor platform inspired by the brain’s cognitive capabilities and energy efficiency. It delivers low-power, real-time AI processing at the edge using neuromorphic principles for applications like vision, audio, and sensor fusion.

Self-Contained Neural Processor

  • Scalable fabric of 1-128 nodes
  • Each neural node supports 128MACs
  • Configurable 50-130K embedded local SRAM
  • DMA for all memory and model operations
  • Multi-layer execution without host CPU
  • Integrate with any Microcontroller or Application Processor
  • Efficient algorithmic mesh

Key Features

Akida 1

  • Supports 4-, 2-, and 1-bit weights and activations
  • Supports multiple layers simultaneously
  • Convolutional Neural Processor (CNP) and
  • Fully-connected Neural Processor (FNP)

Akida 2

  • Supports 8-, 4-, and 1-bit weights and activations
  • Programmable Activation Functions
  • Skip Connections
  • Support for Spatio-Temporal and Temporal Event-Based Neural Network

Silicon-Proven, Fully Digital Neuromorphic Implementation

Cost-effective, predictable design and implementation

Event-Based Hardware Acceleration

Minimizes compute and communication – Minimizes host CPU usage

On-Chip Learning

One-shot/few-shot learning. Minimizes sensitive data sent. Improves security and privacy

Configurable and Scalable

Extremely configurable and post-silicon flexibility

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