nRF Edge AI Library changelog

See the list of changes for a specific release of the nRF Edge AI Library.

Release v2.2.2 (03 July 2026)

This release is tagged as NRF-EDGEAI-RELEASE-2.2.2 (internal release commit d33025f8dcb96859626bdabc671b108983f1c0d8).

Added support for Axon driver version 1.3.0.
Fixed:
- Compatibility of the library with PicoLib in the nRF Connect SDK. _impure_ptr references are now removed from the audio microfrontend utils.

There are no critical known issues identified for this release.

This release is tagged as NRF-EDGEAI-RELEASE-2.2.1 (internal release commit 2e7626e4b9d0bd84c5a07251da0d91927ab83cff).

Added support for Axon driver version 1.1.0.
Fixed:
- Argument handling in positive and negative sigma crossing rate feature extraction functions (nrf_edgeai_feature_pscr(), nrf_edgeai_feature_nscr()) across all supported integer and float types.
- Type casting for sigma_factor and lag parameters in time-domain DSP feature extraction functions to correctly use the declared nrf_dsp_sigma_factor_t and uint8_t types.
- Refactored DSP clipping functions for Q63-to-Q31 and Q63-to-Q15 fixed-point conversions to ensure correct saturation behavior.

There are no critical known issues identified for this release.

This release is tagged as NRF-EDGEAI-RELEASE-2.2.0 (internal release commit 7a38f672a9e71949ba5f0ff43acbc7e865fb89f5).

Added:
- Axon model support across the nRF Edge AI library, including model type handling and runtime integration alongside existing Neuton support.
- Inference lifecycle APIs for initialization and deinitialization.
- Custom-domain feature extraction and improved audio mel processing and wake-word decoding flow.
Fixed Doxygen warnings and documentation issues.

There are no critical known issues identified for this release.

This release is tagged as RELEASE-NRF-EDGEAI-1.0.0 (internal release commit 9501cebe17ec8d404298f8657fa3549c3ce5c453).

There are no critical known issues identified for this release.