[Metro][Manufacturing] Editorial updates on release notes.

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/pallet-defect-detection/release-notes.md

@@ -6,19 +6,19 @@
 
 **New**
 
-- Added support for NPU and iGPU for Intel Core Ultra Series 3 processors.
+- Qualified on the Intel® Core™ Ultra Series 3 processor.
+- Added support for NPU and iGPU, for the Intel® Core™ Ultra Series 3 processor.
 - Added support for simultaneous deployment of multiple applications in the same
-  host via Docker and Helm.
+host via Docker Compose tool and Helm chart.
 - MLOps is now demonstrated with the Model Download microservice instead of
-  Model Registry.
-- NGINX,COTURN and MINIO ports made configurable as environment variables.
-- Consumed the latest DL Streamer Pipeline Server 2026.0.0 image.
-  The Ubuntu24 variant of the image is now default.
-
+the Model Registry.
+
 **Improved**
 
-- The model retrained with Geti v2.13.1.
-- Removed Model Registry service and its references.
+- Consumed the latest DL Streamer Pipeline Server 2026.0.0 image. Ubuntu24 variant of the image is the default now.
+- Retrained the Model with Geti software v2.13.1.
+- NGINX, COTURN and MINIO ports were made configurable as environment variables.
+- Removed the Model Registry service and its references.
 
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 :::{toctree}

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/pcb-anomaly-detection/release-notes.md

@@ -4,16 +4,20 @@
 
 **March 2026**
 
-- Added support for NPU and iGPU for Intel Core Ultra Series 3 processors.
-- Added support for simultaneous deployment of multiple applications in the same host via Docker and Helm.
-- MLOps is now demonstrated with the Model Download microservice instead of Model Registry.
-- The NGINX, COTURN and MINIO ports made configurable as environment variables.
-- Consumed the latest DL Streamer Pipeline Server 2026.0.0 image.
-  The Ubuntu24 variant of the image is now default.
-
+**New**
+
+- Qualified on the Intel® Core™ Ultra Series 3 processor.
+- Added support for NPU and iGPU, for the Intel® Core™ Ultra Series 3 processor.
+- Added support for simultaneous deployment of multiple applications in the same
+host via Docker Compose tool and Helm chart.
+- MLOps is now demonstrated with the Model Download microservice instead of
+the Model Registry.
+
 **Improved**
 
-- The model retrained with Geti v2.13.1.
+- Consumed the latest DL Streamer Pipeline Server 2026.0.0 image. Ubuntu24 variant of the image is the default now.
+- Retrained the Model with Geti software v2.13.1.
+- NGINX, COTURN and MINIO ports were made configurable as environment variables.
 - Removed the Model Registry service and its references.
 
 <!--hide-directive

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/weld-porosity/release-notes.md

@@ -6,19 +6,21 @@
 
 **New**
 
-- Added support for NPU and iGPU for Intel Core Ultra Series 3 processors.
+- Qualified on the Intel® Core™ Ultra Series 3 processor.
+- Added support for NPU and iGPU, for the Intel® Core™ Ultra Series 3 processor.
 - Added support for simultaneous deployment of multiple applications in the same
-  host via Docker and Helm.
-- MLOps is now demonstrated with the Model Download microservice instead of
-  Model Registry.
-- The NGINX, COTURN and MINIO ports made configurable as environment variables.
-- Consumed the latest DL Streamer Pipeline Server 2026.0.0 image.
-  The Ubuntu24 variant of the image is now default.
+host via Docker Compose tool and Helm chart.
+- MLOps is now demonstrated with the Model Download microservice instead of the
+Model Registry.
 
 **Improved**
 
-- The model changed from FP16 to INT8.
+- Consumed the latest DL Streamer Pipeline Server 2026.0.0 image.
+Ubuntu24 variant of the image is the default now.
+- Retrained the Model with Geti software v2.13.1.
+- NGINX, COTURN and MINIO ports were made configurable as environment variables.
 - Removed the Model Registry service and its references.
+- The model has been quantized from 16-bit floating-point precision (FP16) to 8-bit integer precision (INT8).
 
 <!--hide_directive
 :::{toctree}

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/worker-safety-gear-detection/release-notes.md

@@ -4,16 +4,19 @@
 
 **New**
 
-- Added support for NPU and iGPU for Intel Core Ultra Series 3 processors.
-- Added support for simultaneous deployment of multiple applications in the same host via Docker and Helm.
-- MLOps is now demonstrated with the Model Download microservice instead of Model Registry.
-- The NGINX, COTURN and MINIO ports made configurable as environment variables.
-- Consumed the latest DL Streamer Pipeline Server 2026.0.0 image.
-  The Ubuntu24 variant of the image is now default.
+- Qualified on the Intel® Core™ Ultra Series 3 processor.
+- Added support for NPU and iGPU, for the Intel® Core™ Ultra Series 3 processor.
+- Added support for simultaneous deployment of multiple applications in the same
+host via Docker Compose tool and Helm chart.
+- MLOps is now demonstrated with the Model Download microservice instead of the
+Model Registry.
 
 **Improved**
 
-- The model retrained with Geti v2.13.1.
+- Consumed the latest DL Streamer Pipeline Server 2026.0.0 image.
+Ubuntu24 variant of the image is the default now.
+- Retrained the Model with Geti software v2.13.1.
+- NGINX, COTURN and MINIO ports were made configurable as environment variables.
 - Removed the Model Registry service and its references.
 
 <!--hide_directive

metro-ai-suite/deterministic-threat-detection/docs/user-guide/release-notes.md

@@ -6,8 +6,13 @@
 
 **Release Date**: 2026-03-25
 
-### New Features
+**New**
 
-- **Deterministic Threat Detection:** Initial release of the deterministic threat detection subproject. This feature provides a real-time threat detection system for time-sensitive networks.
-- **Use Case Implementation:** Includes the necessary code to test the deterministic threat detection use case.
-- **Documentation:** Comprehensive documentation on how to set up, configure, and run the tests for the use case.
+Deterministic Threat Detection: 
+Initial release of the deterministic threat detection subproject. This feature provides a real-time threat detection system for time-sensitive networks.
+
+Use Case Implementation: 
+Includes the necessary code to test the deterministic threat detection use case.
+
+Documentation: 
+Comprehensive documentation on how to set up, configure, and run tests for the use case.

metro-ai-suite/image-based-video-search/docs/user-guide/release-notes.md

@@ -10,9 +10,15 @@ application.
 
 ## Version 1.2.0
 
-- Consumed latest DL Streamer Pipeline Server 2026.0.0 image. Ubuntu24 variant of the image is default now.
-- Changed model from person-vehicle-bike-detection-2004 to yolov11s model.
-- Support IBVS for NPU device
+**New**
+
+- Qualified on the Intel® Core™ Ultra Series 3 processor.
+- Changed the person-vehicle-bike-detection-2004 model to the yolov11s model.
+
+**Improved**
+
+- Consumed the latest DL Streamer Pipeline Server 2026.0.0 image. Ubuntu24 variant of the image is the default now.
+- Image-based Video Search now supports the NPU device.
 
 ## Version 1.1.0
 

metro-ai-suite/metro-vision-ai-app-recipe/loitering-detection/docs/user-guide/release-notes.md

@@ -2,8 +2,14 @@
 
 ## v1.4.0
 
-- Consumed latest DL Streamer Pipeline Server 2026.0.0 image. Ubuntu24 variant of the image is default now.
-- Optimized latency for GPU and NPU workloads.
+**New**
+
+- Qualified on the Intel® Core™ Ultra Series 3 processor.
+
+**Improved**
+
+- Consumed the latest DL Streamer Pipeline Server 2026.0.0 image. Ubuntu24 variant of the image is the default now.
+- Optimized the latency for GPU and NPU workloads. 
 
 ## v1.3.0