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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; 7 months ago (2024-04-24)
Repositorygithub.com/mindspore-ai/mindspore
Written inC++, Rust, Julia, Python, ArkTS, Cangjie, Java (Lite)
PlatformLinux, Microsoft Windows, macOS, EulerOS, openEuler, OpenHarmony, Oniro OS, HarmonyOS, Android
TypeMachine learning library
LicenseApache License 2.0
Websitewww.mindspore.cn/en
Part of a series on
Machine learning
and data 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

MindSpore is a open-source software framework for deep learning, machine learning and artificial intelligence developed by Huawei.[1][2]

Overview

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It has support for custom OpenHarmony-based HarmonyOS NEXT single core framework system built for HarmonyOS, includes an AI system stack that comes with Huawei's built LLM model called PanGu-Σ with full MindSpore framework support.[3] Alongside, OpenHarmony Native device-side AI support for training interface and ArkTS programming 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 other HiSilicon NPU 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 as Android, iOS, Windows,[6] global OpenHarmony-based distro, Eclipse Oniro, Linux-based EulerOS alongside OpenEuler Huawei's server OS platforms, macOS and Linux.[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. ISBN 978-981-19-2878-9. Retrieved February 13, 2024. {{cite book}}: |website= ignored (help)
  2. ^ "Inference on the Ascend 310 AI Processor". MindSpore. Retrieved February 13, 2024.
  3. ^ Bhati, Kamlesh. "Huawei HarmonyOS NEXT Official Now: Bring Spatial Design and Vivid Color Concepts". Sparrownews.com. Retrieved February 13, 2024.
  4. ^ "OpenHarmony 4.1 Beta1 Unleashes Cutting-Edge Features and API Advancements". World Tech. FTT World. Retrieved February 13, 2024.
  5. ^ MSV, Janakiram. "Huawei Wants To Tackle NVIDIA And Google With A Solid AI Strategy". Forbes. Retrieved March 11, 2024.
  6. ^ "MindSpore Installation on CPU-Windows — MindSpore master documentation". www.mindspore.cn. Retrieved July 8, 2024.
  7. ^ "Android Application Development Based on Java Interface — MindSpore Lite master documentation". www.mindspore.cn. Retrieved July 8, 2024.
  8. ^ Klingler, Nico (December 20, 2023). "MindSpore: Huawei's Open-Source Deep Learning Framework". viso.ai. Retrieved July 8, 2024.
  9. ^ "MindSpore官网". www.mindspore.cn. Retrieved July 7, 2024.

Bibliography

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