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MindSpore
Developer(s)Huawei
Initial releaseMarch 31, 2020;4 years ago(2020-03-31)
Stable release
2.3.RC1 April 24, 2024;4 months ago(2024-04-24)
Repositorygithub/mindspore-ai/mindspore
Written inC++,Rust,Julia,Python,ArkTS,Cangjie,Java(Lite)
PlatformLinux,Microsoft Windows,macOS,EulerOS,openEuler,OpenHarmony,Oniro OS,HarmonyOS,Android
TypeMachine learninglibrary
LicenseApache License 2.0
Websitewww.mindspore.cn/en
Part of a series on
Machine learning
anddata mining
Paradigms
Problems
Clustering
Dimensionality reduction
Structured prediction
Anomaly detection
Artificial neural network
Reinforcement learning
Learning with humans
Model diagnostics
Mathematical foundations
Journals and conferences
Related articles

MindSporeis aopen-sourcesoftware framework fordeep learning,machine learningandartificial intelligencedeveloped byHuawei.[1][2]

Overview

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It has support for customOpenHarmony-basedHarmonyOS NEXTsingle core framework system built forHarmonyOS,includes an AI system stack that comes withHuawei's builtLLMmodel calledPanGu-Σwith full MindSpore framework support.[3]Alongside, OpenHarmony Native device-side AI support for training interface andArkTSprogramming interface for its NNRt (Neural Network Runtime) backend configurations via MindSpore Lite AI framework codebase introduced in API 11 Beta 1 of OpenHarmony 4.1. MindSpore platform runs on Ascend AI chips and Kirin alongside otherHiSiliconNPU chips.[4]

CANN (Compute Architecture of Neural Networks), heterogeneous computing architecture for AI developed by Huawei. With CANN backend in OpenCV DNN, giving developers ability to run created AI models on the Ascend, Kirin and other HiSilicon NPU enabled chips.[5]

It supports cross platform development such asAndroid,iOS,Windows,[6]global OpenHarmony-based distro,EclipseOniro, Linux-basedEulerOSalongside OpenEuler Huawei's server OS platforms,macOSandLinux.[7][8]

History

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On April 24, 2024, Huawei's MindSpore 2.3.RC1 was released to open source community with Foundation Model Training, Full-Stack Upgrade of Foundation Model Inference, Static Graph Optimization, IT Features and new MindSpore Elec MT (MindSpore-powered magnetotelluric) Intelligent Inversion Model.[9]

See also

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References

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  1. ^"Huawei MindSpore AI Development Framework".Artificial Intelligence Technology.Huawei Technologies. 2023. pp. 137–162.doi:10.1007/978-981-19-2879-6_5.ISBN978-981-19-2878-9.RetrievedFebruary 13,2024.{{cite book}}:|website=ignored (help)
  2. ^"Inference on the Ascend 310 AI Processor".MindSpore.RetrievedFebruary 13,2024.
  3. ^Bhati, Kamlesh."Huawei HarmonyOS NEXT Official Now: Bring Spatial Design and Vivid Color Concepts".Sparrownews.RetrievedFebruary 13,2024.
  4. ^"OpenHarmony 4.1 Beta1 Unleashes Cutting-Edge Features and API Advancements".World Tech.FTT World.RetrievedFebruary 13,2024.
  5. ^MSV, Janakiram."Huawei Wants To Tackle NVIDIA And Google With A Solid AI Strategy".Forbes.RetrievedMarch 11,2024.
  6. ^"MindSpore Installation on CPU-Windows — MindSpore master documentation".mindspore.cn.RetrievedJuly 8,2024.
  7. ^"Android Application Development Based on Java Interface — MindSpore Lite master documentation".mindspore.cn.RetrievedJuly 8,2024.
  8. ^Klingler, Nico (December 20, 2023)."MindSpore: Huawei's Open-Source Deep Learning Framework".viso.ai.RetrievedJuly 8,2024.
  9. ^"MindSpore official website".mindspore.cn.RetrievedJuly 7,2024.

Bibliography

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