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| title: BrainChip AI | |
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| short_description: BrainChip Holdings β Neuromorphic Edge AI organization card | |
| <p align="center"> | |
| <picture> | |
| <source media="(prefers-color-scheme: dark)" srcset="https://brainchip.com/wp-content/uploads/2023/03/0.-BC-LOGO-on-Black-BG-400x98.png"> | |
| <img alt="BrainChip" src="https://brainchipmadev.wpenginepowered.com/wp-content/uploads/2023/03/0.-LOGO_Standard.svg" width="360"> | |
| </picture> | |
| </p> | |
| <h1 align="center">Neuromorphic Edge AI</h1> | |
| <p align="center"> | |
| Ultra-low-power, real-time AI at the sensor β powered by the Akida™ event-based processor. | |
| </p> | |
| <p align="center"> | |
| <a href="https://brainchip.com"><img alt="Website" src="https://img.shields.io/badge/Website-brainchip.com-6b8cff?style=flat-square"></a> | |
| <a href="https://github.com/Brainchip-Inc"><img alt="GitHub" src="https://img.shields.io/badge/GitHub-Brainchip--Inc-24292e?style=flat-square&logo=github"></a> | |
| <a href="https://huggingface.co/BrainChip-AI"><img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-BrainChip--AI-ffd21e?style=flat-square"></a> | |
| <img alt="Edge AI" src="https://img.shields.io/badge/Focus-Neuromorphic%20Edge%20AI-a78bfa?style=flat-square"> | |
| <img alt="On-device" src="https://img.shields.io/badge/On--device-Learning-6b8cff?style=flat-square"> | |
| </p> | |
| --- | |
| ## About BrainChip | |
| BrainChip is the worldwide leader in neuromorphic Edge AI on-chip processing and learning. Our Akida™ processor delivers ultra-low-power, real-time AI at the sensor β without a round-trip to the cloud. | |
| ## What we build | |
| **Akida neuromorphic IP** β licensable event-based AI accelerator for SoC integration. | |
| **Akida silicon** β standalone neuromorphic processors including the AKD1000 and AKD1500. | |
| **TENNs** β Temporal Event-based Neural Networks for audio, vision, biosignals, and time-series. | |
| **On-device learning** β on-chip learning without a cloud round-trip. | |
| ## Why event-based at the edge | |
| Event-based processing means Akida only does work when something changes, enabling real-time inference at milliwatts. That unlocks always-on intelligence in hearables, wearables, AR/VR, industrial sensors, medical devices, defense platforms, robotics, and automotive cabins. | |
| ## What's coming to this org | |
| Reference models, example Spaces, and integration recipes for the Akida Gen AI product family. Follow the org to get notified as new material is published. | |
| ## Links | |
| Website β [brainchip.com/developer](https://brainchip.com/developer) | |
| GitHub β [github.com/Brainchip-Inc](https://github.com/Brainchip-Inc) | |
| --- | |
| <p align="center">© BrainChip Holdings, Inc.</p> |