Add monthly learning path report [skip ci]

Author: github-actions

reports/LP-report-2026-05.md

@@ -8,23 +8,32 @@
 | [Deploy OpenStack on Azure Cobalt 100 Arm64 Virtual Machine](https://learn.arm.com/learning-paths/servers-and-cloud-computing/openstack-on-azure/) | April 23, 2026 | May 02, 2026 | 9 | ACM | servers-and-cloud-computing | Microsoft Azure |
 | [Characterize system performance with Arm Performix](https://learn.arm.com/learning-paths/servers-and-cloud-computing/performix-system-characterization/) | April 24, 2026 | May 02, 2026 | 8 | ACM | servers-and-cloud-computing |  |
 | [Build a Sentiment-Aware Voice Assistant with On-Device LLMs](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/voice-sentiment-analysis-with-llm/) | April 17, 2026 | May 04, 2026 | 17 |  | mobile-graphics-and-gaming |  |
-| [Run Apache Spark SQL workloads on Azure Cobalt 100 Arm64 using Gluten and Velox for accelerated analytics](https://learn.arm.com/learning-paths/servers-and-cloud-computing/spark-velox-cobalt/) | April 24, 2026 | May 08, 2026 | 14 | ACM | servers-and-cloud-computing | Microsoft Azure |
-| [Deploy containerized workloads to Arm-based Linux targets with Topo](https://learn.arm.com/learning-paths/cross-platform/deploy-containerized-workloads-with-topo/) | April 27, 2026 | May 08, 2026 | 11 |  | cross-platform |  |
-| [Optimize an Adler-32 checksum function with SVE intrinsics using the Arm MCP server](https://learn.arm.com/learning-paths/servers-and-cloud-computing/adler32-kiro/) | May 04, 2026 | May 08, 2026 | 4 | ACM | servers-and-cloud-computing | Google Cloud, Microsoft Azure, AWS |
-| [Manage the ML lifecycle with MLflow on Google Cloud C4A Axion VM](https://learn.arm.com/learning-paths/servers-and-cloud-computing/mlflow-axion/) | May 04, 2026 | May 08, 2026 | 4 |  | servers-and-cloud-computing | Google Cloud |
-| [Enable Arm SPE for Performix memory access analysis](https://learn.arm.com/learning-paths/servers-and-cloud-computing/spe-on-performix/) | May 04, 2026 | May 08, 2026 | 4 | ACM | servers-and-cloud-computing | Google Cloud, Microsoft Azure, AWS |
+| [Run Apache Spark SQL workloads on Azure Cobalt 100 Arm64 using Gluten and Velox for accelerated analytics](https://learn.arm.com/learning-paths/servers-and-cloud-computing/spark-velox-cobalt/) | April 24, 2026 | May 15, 2026 | 21 | ACM | servers-and-cloud-computing | Microsoft Azure |
+| [Deploy containerized workloads to Arm-based Linux targets with Topo](https://learn.arm.com/learning-paths/cross-platform/deploy-containerized-workloads-with-topo/) | April 27, 2026 | May 15, 2026 | 18 |  | cross-platform |  |
+| [Optimize an Adler-32 checksum function with SVE intrinsics using the Arm MCP server](https://learn.arm.com/learning-paths/servers-and-cloud-computing/adler32-kiro/) | May 04, 2026 | May 15, 2026 | 11 | ACM | servers-and-cloud-computing | Google Cloud, Microsoft Azure, AWS |
+| [Manage the ML lifecycle with MLflow on Google Cloud C4A Axion VM](https://learn.arm.com/learning-paths/servers-and-cloud-computing/mlflow-axion/) | May 04, 2026 | May 15, 2026 | 11 |  | servers-and-cloud-computing | Google Cloud |
+| [Enable Arm SPE for Performix memory access analysis](https://learn.arm.com/learning-paths/servers-and-cloud-computing/spe-on-performix/) | May 04, 2026 | May 15, 2026 | 11 | ACM | servers-and-cloud-computing | Google Cloud, Microsoft Azure, AWS |
+| [Deploy an AWS IoT Greengrass custom component to Arm devices and verify PAC/BTI support](https://learn.arm.com/learning-paths/cross-platform/aws-greengrass-pacbti-test/) | May 05, 2026 | May 15, 2026 | 10 |  | cross-platform |  |
+| [Deploy Alluxio on Azure Cobalt 100 Arm64 virtual machines for data orchestration and caching](https://learn.arm.com/learning-paths/servers-and-cloud-computing/alluxio-cobalt/) | May 05, 2026 | May 15, 2026 | 10 | ACM | servers-and-cloud-computing | Microsoft Azure |
+| [Build computer vision pipelines with OpenCV on a Google Cloud C4A Axion VM](https://learn.arm.com/learning-paths/servers-and-cloud-computing/opencv-on-axion/) | May 12, 2026 | May 15, 2026 | 3 | ACM | servers-and-cloud-computing | Google Cloud |
+| [Deploy Elasticsearch on Azure Cobalt 100 Arm virtual machines](https://learn.arm.com/learning-paths/servers-and-cloud-computing/elasticsearch-on-azure/) | May 11, 2026 | May 15, 2026 | 4 | ACM | servers-and-cloud-computing | Microsoft Azure |
+| [Implement post-quantum cryptography on Arm Cortex-M4](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/pqc_pqm4/) | May 11, 2026 | May 15, 2026 | 4 |  | embedded-and-microcontrollers |  |
+| [Validate PAC/BTI security features in OpenJDK on Google Cloud C4A](https://learn.arm.com/learning-paths/servers-and-cloud-computing/openjdk-pacbti-gcp/) | May 11, 2026 | May 15, 2026 | 4 | ACM | servers-and-cloud-computing | Google Cloud |
+| [Deploy multi-network device meshes using Device Connect server and NATS](https://learn.arm.com/learning-paths/embedded-and-microcontrollers/device-connect-server/) | May 11, 2026 | May 15, 2026 | 4 |  | embedded-and-microcontrollers |  |
+| [Prepare models for neural graphics with Arm neural technology](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/preparing-models-for-nt/) | May 12, 2026 | May 15, 2026 | 3 |  | mobile-graphics-and-gaming |  |
 
 | Statistic | Value |
 |-----------|-------|
-| Number of Learning Paths published | 9 |
-| Number of ACM Learning Paths published | 6 |
-| Average time to publish (days) | 9.0 |
-| Longest time to publish (days) | 17 |
-| Number in 'servers-and-cloud-computing' | 7 |
-| Number in 'mobile-graphics-and-gaming' | 1 |
-| Number in 'cross-platform' | 1 |
-| Number with Google Cloud tag | 3 |
-| Number with Microsoft Azure tag | 5 |
+| Number of Learning Paths published | 17 |
+| Number of ACM Learning Paths published | 10 |
+| Average time to publish (days) | 9.3 |
+| Longest time to publish (days) | 21 |
+| Number in 'servers-and-cloud-computing' | 11 |
+| Number in 'mobile-graphics-and-gaming' | 2 |
+| Number in 'cross-platform' | 2 |
+| Number in 'embedded-and-microcontrollers' | 2 |
+| Number with Google Cloud tag | 5 |
+| Number with Microsoft Azure tag | 7 |
 | Number with AWS tag | 2 |
 | Number with Oracle tag | 0 |
 
@@ -38,15 +47,14 @@
 | [.NET use case on Cobalt 100](https://github.com/ArmDeveloperEcosystem/roadmap/issues/35) | ACM | February 09, 2026 |
 | [Opensearch benchmarking](https://github.com/ArmDeveloperEcosystem/roadmap/issues/32) | ACM | January 29, 2026 |
 | [Introduction to benchmarking and optimizing on Arm (Compiling, Code tuning, SMT)](https://github.com/ArmDeveloperEcosystem/roadmap/issues/30) | ACM | December 08, 2025 |
-| [Elasticsearch benchmarking](https://github.com/ArmDeveloperEcosystem/roadmap/issues/28) | ACM | December 05, 2025 |
 | [PyTorch Conference: Model training gym for NSS](https://github.com/ArmDeveloperEcosystem/roadmap/issues/24) |  | September 05, 2025 |
 | [Neural graphics Vulkan Samples LP](https://github.com/ArmDeveloperEcosystem/roadmap/issues/19) |  | August 12, 2025 |
 | [Neural Graphics for Unreal LP](https://github.com/ArmDeveloperEcosystem/roadmap/issues/18) |  | August 12, 2025 |
 | [stress-ng - System stress tester](https://github.com/ArmDeveloperEcosystem/roadmap/issues/15) | ACM | May 29, 2025 |
 | [OLAP workload benchmarking for Graviton5](https://github.com/ArmDeveloperEcosystem/roadmap/issues/11) | ACM | April 15, 2025 |
 
-Total planned Learning Paths: 13
+Total planned Learning Paths: 12
 
 
-_Report generated on May 09, 2026 at 13:58:59 UTC_
+_Report generated on May 18, 2026 at 21:29:17 UTC_