Merge f2301bccf5 into 5dc50940c6

* 为智能计算系统课程添加2024年新版实验描述及相关资源

* [UPDATE] Add the 2024 edition lab of AICS

* [UPDATE] Update the links

docs/机器学习/STAT435.md

@@ -0,0 +1,30 @@
+# STAT 435: Introduction to Statistical Machine Learning
+
+## 课程简介
+
+- 所属大学：University Of Washington/ Stanford
+- 指導教授：Daniela Witten
+- 先修要求：STAT 341, STAT 390/MATH 390, 或 STAT 391 則一; 推薦: MATH 208;
+- 编程语言：R
+- 课程难度：🌟🌟🌟🌟
+- 预计学时：Quarter學制 4學分
+
+介紹了統計機器學習的理論與應用。大致包含以下主題：
+- 監督與非監督是學習
+- 交叉驗證
+- 偏見與方差之間的權衡取捨
+- 回歸與分類
+- 正規化與收縮
+- 非線性手段
+- 基於樹的方法
+- 支援向量機(SVM)
+- R的應用
+
+個人覺得這門課偏重理論概念與公式推倒，R的應用查找案例就會使用了。
+
+## 课程资源
+
+- 课程网站：<https://www.statlearning.com/>
+- 课程视频：<https://www.dataschool.io/15-hours-of-expert-machine-learning-videos/>
+- 课程教材：<https://www.statlearning.com/>
+- 课程作业：[待整理](https://github.com/yousenwang)

docs/机器学习系统/AICS.en.md

@@ -23,10 +23,19 @@ Inspired by the course, I developed a [simple deep learning framework](https://g
 - Course Website：[Official Website](https://novel.ict.ac.cn/aics/)
 - Course Videos：[bilibili](https://space.bilibili.com/494117284)
 - Course Textbook："Intelligent Computing Systems" by Chen Yunji
-- Course Assignments：6 experiments (including writing a convolutional operator, adding operators to TensorFlow, writing operators in BCL and integrating them into TensorFlow, etc.) (specific content can be found on the official website)
-- Experiment Manual：[Experiment 2.0 Guide Manual](https://forum.cambricon.com/index.php?m=content&c=index&a=show&catid=155&id=708)
-- Study Notes：<https://sanzo.top/categories/AI-Computing-Systems/>, notes summarized based on the experiment manual
 
-## Resource Compilation
+## Personal Resources
 
-All resources and homework implementations used by @ysj1173886760 in this course are consolidated in [ysj1173886760/Learning: ai-system - GitHub](https://github.com/ysj1173886760/Learning/tree/master/ai-system)
+### New Edition Experiments for 2024
+
+- The 2024 edition of the Intelligent Computing Systems lab has undergone extensive adjustments in the knowledge structure, experimental topics, and lab manuals, including comprehensive use of PyTorch instead of TensorFlow, and the addition of experiments related to large models.
+- As the new lab topics and manuals have not been updated on the Cambricon Forum, the following repository is provided to store the new versions of the Intelligent Computing Systems lab topics, manuals, and individual experiment answers:
+- The resources for the new edition will be updated following the course schedule of the UCAS Spring Semester 2024, with completion expected by June 2024.
+- 2024 New labs, manuals, and answers created by @Yuichi: https://github.com/Yuichi1001/2024-AICS-EXP
+
+### Old Edition Experiments
+
+- Old edition coursework: 6 experiments (including writing convolution operators, adding operators to TensorFlow, writing operators with BCL and integrating them into TensorFlow, etc.) (details can be found on the official website)
+- Old edition lab manuals: [Experiment 2.0 Instruction Manual](https://forum.cambricon.com/index.php?m=content&c=index&a=show&catid=155&id=708)
+- Learning notes: https://sanzo.top/categories/AI-Computing-Systems/, notes summarized from the lab manuals (link is no longer active)
+- @ysj1173886760 has compiled all resources and homework implementations used in this course at [ysj1173886760/Learning: ai-system - GitHub](https://github.com/ysj1173886760/Learning/tree/master/ai-system).

docs/机器学习系统/AICS.md

@@ -25,10 +25,21 @@
 - 课程网站：[官网](https://novel.ict.ac.cn/aics/)
 - 课程视频：[bilibili](https://space.bilibili.com/494117284)
 - 课程教材：智能计算系统（陈云霁）
-- 课程作业：6 个实验(包括编写卷积算子，为 TensorFlow 添加算子，用 BCL 编写算子并集成到 TensorFlow 中等)(具体内容在官网可以找到)
-- 实验手册：[实验 2.0 指导手册](https://forum.cambricon.com/index.php?m=content&c=index&a=show&catid=155&id=708)
-- 学习笔记：<https://sanzo.top/categories/AI-Computing-Systems/>，参考实验手册总结的笔记
 
 ## 资源汇总
 
-@ysj1173886760 在学习这门课中用到的所有资源和作业实现都汇总在 [ysj1173886760/Learning: ai-system - GitHub](https://github.com/ysj1173886760/Learning/tree/master/ai-system) 中。
+### 2024年新版实验
+
+- 2024 年的智能计算系统实验内容对知识体系、实验题目及实验手册进行了大范围的调整，调整内容包括全面使用 PyTorch ，不再使用 TensorFlow 以及添加大模型相关实验等。
+
+- 由于新版实验题目及实验手册未在寒武纪论坛进行更新，因此提供以下存储仓库，用于存储新版智能计算系统的实验题目、实验手册以及个人的实验答案
+- 新版实验的资源跟随国科大 2024 年春季学期的课程进度进行更新，预计 2024 年 6 月更新完毕
+- @Yuichi 编写的 2024 新版实验题目、手册及答案：https://github.com/Yuichi1001/2024-AICS-EXP
+
+### 旧版实验
+
+- 旧版课程作业：6 个实验(包括编写卷积算子，为 TensorFlow 添加算子，用 BCL 编写算子并集成到 TensorFlow 中等)(具体内容在官网可以找到)
+- 旧版实验手册：[实验 2.0 指导手册](https://forum.cambricon.com/index.php?m=content&c=index&a=show&catid=155&id=708)
+- 学习笔记：<https://sanzo.top/categories/AI-Computing-Systems/>，参考实验手册总结的笔记(已失效)
+- @ysj1173886760 在学习这门课中用到的所有资源和作业实现都汇总在 [ysj1173886760/Learning: ai-system - GitHub](https://github.com/ysj1173886760/Learning/tree/master/ai-system) 中。
+