USA AI Olympiad (USAAIO) 美国人工智能奥林匹克竞赛
Train for USA-NA-AIO & Represent Team USA at IOAI 备战USA-NA-AIO，代表美国队参加国际AI奥林匹克
What is USAAIO? 什么是USAAIO？
USAAIO (USA AI Olympiad) organizes the USA-North America AI Olympiad (USA-NA-AIO) for K-12 students in the United States and Canada. By organizing Team USA for the IOAI and IAIO, USAAIO enables the United States to be a founding country of these two prestigious international AI Olympiads. USAAIO（美国人工智能奥林匹克）为美国和加拿大的K-12学生组织USA-NA-AIO竞赛。通过组织美国队参加IOAI和IAIO， USAAIO使美国成为这两项著名国际AI奥林匹克的创始国。
AI Olympiad is neither a pure math Olympiad nor a pure coding Olympiad. To excel, you need strong skills in both mathematical theory and programming implementation. Our training prepares you for both! AI奥林匹克既不是纯数学奥林匹克，也不是纯编程奥林匹克。要想出色表现，你需要在数学理论和编程实现方面都具备扎实的技能。 我们的培训让你两者兼备！
🏆 2026 Competition Structure 🏆 2026年竞赛结构
Round 1 第一轮
January 30, 2026 2026年1月30日
📍 Schools / Test Sites 学校/考点
3 hours • CPU only • Open to all 3小时 · 仅CPU · 开放报名
Round 2 第二轮
March/April 2026 2026年3-4月
📍 MIT Campus MIT校园
Full syllabus • GPU (L4) enabled 完整大纲 · GPU (L4)可用
USAAIO Camp USAAIO训练营
June 2026 2026年6月
📍 MIT Campus MIT校园
Team USA selection training 美国队选拔训练
IOAI 国际AI奥赛
August 2026 2026年8月
📍 International 国际赛场
Represent Team USA! 代表美国队！
Official USAAIO Syllabus 官方USAAIO考纲
Master both theory and programming for competition success 掌握理论与编程，征服AI奥林匹克
Mathematical Foundations 数学基础
Round 1 & 2 第1-2轮- Linear Algebra (matrices, eigenvalues)线性代数（矩阵、特征值）
- Probability & Statistics (Bayes' rule)概率统计（贝叶斯法则）
- Multi-variable Calculus多元微积分
- Convex Optimization凸优化
- Gradient Descent Algorithm梯度下降算法
- Hoeffding's InequalityHoeffding不等式
Python & Data Libraries Python与数据库
Round 1 & 2 第1-2轮- Python ProgrammingPython编程
- NumPy (numerical computing)NumPy（数值计算）
- pandas (data manipulation)pandas（数据处理）
- matplotlib & seabornmatplotlib与seaborn
- scikit-learn (ML library)scikit-learn（机器学习库）
- Google Colab & MarkdownGoogle Colab与Markdown
Machine Learning 机器学习
Round 1 & 2 第1-2轮- Linear & Logistic Regression线性与逻辑回归
- Support Vector Machines支持向量机
- Decision Trees & kNN决策树与kNN
- Ensemble Learning集成学习
- K-means & PCAK-means与PCA
- Cross-validation & Loss Functions交叉验证与损失函数
Deep Learning & PyTorch 深度学习与PyTorch
Round 1 & 2 第1-2轮- Multi-layer Perceptron (MLP)多层感知机
- Forward & Backpropagation前向与反向传播
- Batch Normalization & Dropout批归一化与Dropout
- PyTorch FrameworkPyTorch框架
- CNN BasicsCNN基础
- Hand Computation (by paper)手工计算（纸上推导）
Transformers & NLP Transformers与NLP
Round 2 Only 仅第2轮- Attention Mechanisms注意力机制
- Transformer ArchitectureTransformer架构
- Tokenization & Embeddings分词与嵌入
- Pre-training & Fine-tuning预训练与微调
- Vision Transformers (ViT)视觉Transformer
- Graph Neural Networks图神经网络
CV & Generative AI 计算机视觉与生成式AI
Round 2 Only 仅第2轮- Object Detection & UNet目标检测与UNet
- Autoencoder & VAE自编码器与VAE
- Generative Adversarial Networks生成对抗网络
- Diffusion Models (DDPM)扩散模型
- Stable DiffusionStable Diffusion
- Theory + Implementation理论+实现
🏅 Team USA Achievements 🏅 美国队荣誉
Outstanding results at International AI Olympiads 国际AI奥林匹克的卓越成绩
2025
IOAI Beijing 🇨🇳
Pranav Sambhu, Lily Shi, William Wang (Silver) • Mahith Gottipati, Robert Joo, Bryan Zhu (Bronze) 银牌: Pranav Sambhu, Lily Shi, William Wang • 铜牌: Mahith Gottipati, Robert Joo, Bryan Zhu
2024
IOAI Bulgaria 🇧🇬
Team 1 (Gold): Sarang Goel, Christina Lee, Videet Mehta, Angelina Quan 第一队（金牌）: Sarang Goel, Christina Lee, Videet Mehta, Angelina Quan
2024
IAIO Saudi Arabia 🇸🇦
Ronok Ghosal and Kevin Peng earned Bronze medals at the inaugural IAIO competition. Ronok Ghosal和Kevin Peng在首届IAIO竞赛中获得铜牌。
📊 2025 USA-NA-AIO Statistics 📊 2025年USA-NA-AIO统计
🎓 Team USA College Placements 🎓 美国队大学录取
Past Team USA members are now at top universities 历届美国队成员现就读于顶尖大学
MIT
5students 名学生
Stanford
3students 名学生
Caltech
2students 名学生
Why Train With Us for USAAIO? 为什么选择我们的USAAIO培训？
Comprehensive preparation for AI Olympiad success 全面准备，助你AI奥赛成功
Theory + Coding 理论+编程
Master both mathematical foundations and implementation skills required by USAAIO 掌握USAAIO要求的数学基础和编程实现技能
Official Syllabus Coverage 官方大纲覆盖
Complete coverage of all topics from mathematical foundations to generative AI 完整覆盖从数学基础到生成式AI的所有考点
Past Problem Practice 真题练习
Practice with actual USAAIO problems and simulated competition environments 使用真实USAAIO题目和模拟竞赛环境练习
PyTorch Expertise PyTorch专业培训
Deep learning with PyTorch (required framework, not TensorFlow) 使用PyTorch进行深度学习（官方要求框架）
Google Colab Training Google Colab培训
Master the competition platform including Markdown math notation 掌握竞赛平台，包括Markdown数学公式
Small Classes 小班教学
Personalized attention with maximum 6 students per class 每班最多6人，个性化关注
USAAIO is supported by USAAIO获得以下机构支持
Student Success Stories 学生成功故事
The combination of theory and coding practice was exactly what I needed. The course helped me understand not just how to use sklearn, but the math behind PCA and SVMs. 理论与编程练习的结合正是我需要的。课程帮助我不仅学会使用sklearn，还理解了PCA和SVM背后的数学原理。
Learning PyTorch from scratch and understanding Transformers architecture prepared me well for Round 2. The deep learning section was incredibly thorough. 从零学习PyTorch并理解Transformer架构，让我为第二轮做好了充分准备。深度学习部分非常详尽。
As a freshman, I wasn't sure if I was ready for USAAIO. This course broke down complex topics like diffusion models into understandable pieces. Now I'm aiming for Round 2 next year! 作为高一学生，我不确定是否准备好参加USAAIO。这门课程将扩散模型等复杂话题分解成易于理解的部分。现在我的目标是明年晋级第二轮！
Start Your USAAIO Journey! 开启你的USAAIO之旅！
Train for the USA-North America AI Olympiad and represent Team USA 备战USA-NA-AIO，有机会代表美国队参加国际赛