Technology

Spiking Neural Networks (SNNs)

Brain-inspired, neuromorphic processing for ultra-low power, real-time intelligence

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Overview

Conventional AI at the edge is hitting a wall: power budgets, latency, and cloud dependence choke real-world deployments. Sensors capture rich signals, but silicon can’t keep up efficiently. Innatera’s neuromorphic Pulsar chip removes this bottleneck, delivering brain-inspired, event-driven intelligence directly at the sensor, where fast decisions actually need to happen.

WHY SNN

Why SNNs?

AI That Works Like a Brain

Conventional AI at the edge is hitting a wall: power budgets, latency, and cloud dependence choke real-world deployments. Sensors capture rich signals, but silicon can’t keep up efficiently. Innatera’s neuromorphic Pulsar chip removes this bottleneck, delivering brain-inspired, event-driven intelligence directly at the sensor, where fast decisions actually need to happen.

Spiking Neural Network

The Spiking Neural Network Advantage

Ultra low power (microwatts or nano‑watts during inference)
Low latency / real-time response
Private by default – on-device processing)
Compactness & scalability (smaller form factor, embedded systems)
Robustness / adaptivity (robust to noise, efficient under sparse activation)

10,000x

Fewer operations than frame-based neural networks.

20,000x

Fewer operations than frame-based neural networks.

30,000x

Fewer operations than frame-based neural networks.

Advantage 01

Ultra-low power

Innatera's Spiking Neural Processors deliver up to 500x lower energy than conventional edge AI, enabling truly always-on sensing in battery devices.

Advantage 02

Instant response time

Innatera's event-driven SNNs react up to 100x faster than traditional AI pipelines, turning raw sensor spikes into decisions in real time.

Advantage 03

Ultra-Efficient

By processing only meaningful events, Innatera's architecture can use up to 10,000x fewer operations than frame-based neural networks.

Advantage 04

No cloud

Innatera's local intelligence drastically cuts radio and cloud usage, extending battery life by orders of magnitude and keeping data private on-device.

Advantage 05

Developer-friendly SDK

Talamo SDK lets developers import existing models, tune SNNs, and deploy to Pulsar using standard Python tools and workflows.

Journey

Data Journey

01 Data Capture / Sensing

Sensors detect signals from the environment

02 Encoding: Translating Signals into Spikes

Signals translated into neural spikes

03 Spiking Neural Processing

Brain-inspired event-driven computation

04 Decoding / Actionable Output

Spikes converted to actionable output

05 Feedback & Adaptation

Decision made in milliseconds

Data Capture / Sensing

Sensors detect signals from the environment

Encoding: Translating Signals into Spikes

Signals translated into neural spikes

Spiking Neural Processing

Brain-inspired event-driven computation

Decoding / Actionable Output

Spikes converted to actionable output

Feedback & Adaptation

Decision made in milliseconds

Use Cases

Real-Life Use Cases

Human Presence Detection

Instant awareness, zero privacy trade-offs. Spiking neural processors detect human presence in real time, locally and privately, enabling smarter buildings, safer devices, and always-on sensing at microwatt power.

Gesture and Motion Recognition

Touchless control, anywhere. SNNs interpret subtle gestures and motion directly on-device, unlocking intuitive interfaces for wearables, consumer electronics, and industrial systems—without heavy compute or the cloud.

Audio Scene Recognition and Anomaly Detection

Always listening, only when needed. Event-driven spiking chips recognize keywords or unusual sounds at the edge, reacting instantly while consuming ultra-low power and preserving user privacy.

And much more.

Explore the full range of SNN applications now.

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Our Neuromorphic
Ecosystem & Approach

Innatera delivers the full journey from sensor data to real-time intelligence: data is captured at the sensor, processed event-by-event by Spiking Neural Networks, and deployed directly inside products. With our Talamo SDK, developers can simulate signals, build SNN models, and test workloads before hardware deployment.

Developer portal