Distribute AI inference across a fleet of BrainChip Akida neuromorphic processors, managed by IBM Spectrum Symphony Community Edition
-
Updated
Aug 19, 2026 - Python
Distribute AI inference across a fleet of BrainChip Akida neuromorphic processors, managed by IBM Spectrum Symphony Community Edition
Code and tutorials for training and deploying models on Akida
Learning how to use the Akida neuromorphic processor with a Camera feed
ARACHNID: A Neuromorphic Camera Array System for Space Situational Awareness.
Firmware for AkidaTag, the ultra-low-power AIoT board pairing a Nordic nRF5340 with BrainChip's Akida AKD1500: keyword spotting, on-device edge learning, BLE model transfer and firmware updates.
Companion app for BrainChip's Akida AKD1500 edge AI boards such as the AkidaTag and the BrainBoard1500: connect over Bluetooth LE, run the board's AI applications, see what it detects, and update its firmware and models. Android now, iOS to follow.
Neurocam is a cutting-edge surveillance system for the Raspberry Pi 4 powered by the Akida neuromorphic processor with ChatGPT 4 frame analysis
神经形态计算与事件驱动传感十讲:SNN、事件相机 DVS、Loihi/Akida 硬件版图、能效真相与证伪条件 · 配两性费曼阅读协议
Native Linux 7.0 PCIe driver for the BrainChip Akida AKD1000 neuromorphic co-processor, built on the in-tree DesignWare eDMA (CONFIG_DW_EDMA) — no vendored headers. Builds where the official akida_dw_edma can't (kernels > 6.9).
Model conversion and deployment pipeline for the final AoA classification models evaluated on BrainChip AKD1000.
Utilities and bilingual documentation for BrainChip AKD1000 PCIe bring-up, smoke testing and FBZ benchmarking.
Run Akida AKD1500 inference on Arduino Nicla boards with the BB15 library. BrainChip fork of Neuromorphyx/BrainBoard1500_arduino_library, with BrainChip examples and demos.
Pure Rust neuromorphic computing — AKD1000 characterization, NPU kernel drivers, ESN echo state networks, cross-substrate inference. AGPL-3.0
To associate your repository with the akida topic, visit your repo's landing page and select "manage topics."