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  3. 基于龙芯CPU和OpenHarmony的嵌入式开发大赛
OpenAtomGeneral MLAdvancedRegistration unverified

基于龙芯CPU和OpenHarmony的嵌入式开发大赛

A advanced general ml competition requiring roughly 25–70 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
25–70 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

Advanced practitioners with experience in general machine learning. Requires strong technical foundations and comfort with complex ML pipelines.

Read the original official blurb
本赛项由江苏润开鸿数字科技有限公司联合承办、广东龙芯中科电子科技有限公司协办。赛项围绕“融合龙芯CPU与开源OS,推动嵌入式系统创建”这个主题,强调使用龙芯CPU结合OpenHarmony操作系统来开发具有创新性的嵌入式系统解决方案。 Official category: 实战竞技赛. Organizers: 江苏润开鸿数字科技有限公司. Participants: 100.

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    scikit-learn or similar ML library

  3. 03

    data analysis with pandas

Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
OpenAtom
Last checked
Oct 10, 2024

Entry assessment

est.
15

Prepare before joining

Overall fit estimate

Beginner fit15/100
Learning value67/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
Oct 10, 2024
Source created
Oct 10, 2024
Published on this site
Aug 1, 2026

Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.

reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.