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Copy file name to clipboardExpand all lines: reports/LP-report-2026-01_to_2026-02.md
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|[Run ERNIE-4.5 Mixture of Experts model on Armv9 with llama.cpp](https://learn.arm.com/learning-paths/cross-platform/ernie_moe_v9/)| December 11, 2025 | January 10, 2026 | 30 | ACM | cross-platform ||
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|[Run Confidential Containers with encrypted images using Arm CCA and Trustee](https://learn.arm.com/learning-paths/servers-and-cloud-computing/cca-kata/)| December 12, 2025 | January 17, 2026 | 36 | CCA | servers-and-cloud-computing ||
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|[Optimize exponential functions with FEXPA](https://learn.arm.com/learning-paths/servers-and-cloud-computing/fexpa/)| December 16, 2025 | January 17, 2026 | 32 | ACM | servers-and-cloud-computing | Google Cloud, Microsoft Azure, AWS |
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|[None](https://learn.arm.com/learning-paths/servers-and-cloud-computing/tune-pytorch-cpu-perf-with-threads/)| January 05, 2026 | January 17, 2026 | 12 | ACM | servers-and-cloud-computing ||
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|[Profile ONNX model performance with SME2 using KleidiAI and ONNX Runtime](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/performance_onnxruntime_kleidiai_sme2/)| January 06, 2026 | January 17, 2026 | 11 || mobile-graphics-and-gaming ||
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|[Claude Code](https://learn.arm.com/install-guides/claude-code/)| January 14, 2026 | January 17, 2026 | 3 | ACM | install-guides ||
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|[Optimize application performance with CPU affinity](https://learn.arm.com/learning-paths/servers-and-cloud-computing/pinning-threads/)| January 14, 2026 | January 17, 2026 | 3 || servers-and-cloud-computing | Google Cloud, Microsoft Azure, AWS, Oracle |
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|[Measure LLM inference performance with KleidiAI and SME2 on Android](https://learn.arm.com/learning-paths/mobile-graphics-and-gaming/performance_llama_cpp_sme2/)| February 11, 2026 | February 28, 2026 | 17 || mobile-graphics-and-gaming ||
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|[Deploy a live sensor dashboard with TimescaleDB and Grafana on Google Cloud C4A](https://learn.arm.com/learning-paths/servers-and-cloud-computing/timescaledb-on-gcp/)| February 19, 2026 | February 28, 2026 | 9 | ACM | servers-and-cloud-computing | Google Cloud |
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|[Automate x86 to Arm Migration with Docker MCP Toolkit, VS Code and GitHub Copilot](https://learn.arm.com/learning-paths/servers-and-cloud-computing/docker-mcp-toolkit/)| February 20, 2026 | February 28, 2026 | 8 | ACM | servers-and-cloud-computing ||
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| Statistic | Value |
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|-----------|-------|
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| Number of Learning Paths published |35|
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| Number of ACM Learning Paths published |24|
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| Average time to publish (days) | 20.6|
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| Number of Learning Paths published |34|
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| Number of ACM Learning Paths published |23|
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| Average time to publish (days) | 20.9|
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| Longest time to publish (days) | 84 |
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| Number in 'servers-and-cloud-computing' |18|
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| Number in 'servers-and-cloud-computing' |17|
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| Number in 'install-guides' | 6 |
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| Number in 'mobile-graphics-and-gaming' | 4 |
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| Number in 'cross-platform' | 4 |
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Total planned Learning Paths: 11
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_Report generated on February 28, 2026 at 22:13:12 UTC_
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_Report generated on February 28, 2026 at 22:18:05 UTC_
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