TECHNOLOGY · ERN-AI

ERN-AI: Perception-Native Software with AI-Lego-Blocks

ERN-AI (Evolutionary, Reconfigurable, Neuromorphic AI) is NuMorph AI's patent-pending core software. It is a perception-native compute layer that sits between the sensor and the downstream AI stack, converting continuous frame data into sparse event representations before that data ever reaches the network or the GPU.

What Is an AI-Lego-Block (ALB)?

An AI-Lego-Block, or ALB, is the atomic unit of ERN-AI. Each ALB is a micro-scale neuromorphic processing element developed from the neurology of honeybees, whose visual systems perform sophisticated motion detection, navigation, and classification on a brain of roughly one million neurons and a power budget measured in microwatts.

AI-Lego-Blocks: honeybee and modular blocks forming a 3x3 array
~1000×

lower power than equivalent frame-based processing

Micro-data

trained on local micro-data, not on centralized datasets

Device-native

executing at the sensor rather than in the cloud

How ALBs Compose into ERN-AI Software

ERN-AI software is assembled from arrays of ALBs, configured to the requirements of the deployment. The composition is modular, scalable, distributed, and decentralized — there is no central inference bottleneck, and array size can be matched to the complexity of the scene rather than fixed at design time.

ALB blocks composing into layered neuromorphic arrays
TESTED: 1×1 3×3 5×5 7×7 10×10

What Is NESA?

NESA (Neuromorphic Edge Sensing Array) is NuMorph's vision sensing array architecture. It organizes ALB arrays into a layered sensing structure that is evolutionary and reconfigurable in real time — the array can restructure its own processing topology as scene conditions change, without redeployment or retraining.

Bio-inspired hexagonal sensing array modeled on insect vision

Intellectual Property Status

ERN-AI is patent pending. Proof-of-concept demonstrations have been completed and are available for review under NDA.