Artificial_Intelligence_of_Things (AIoT)
Artificial Intelligence of Things (AIoT)
The Ouline
What’s AIoT?
AIoT（人工智能物联网）=AI（人工智能）+IoT（物联网）
The Artificial Intelligence of Things (AIoT) is the combination of artificial intelligence (AI) technologies with the Internet of Things (IoT) infrastructure to achieve more efficient IoT operations, improve human-machine interactions and enhance data management and analytics.
AIoT Hardware Architecture
This is the architecture of AIoT hardware. Here is a example of the specific equipment:
SI-61S-AI Industrial AI Computer
The SI-61S-AI is a highly scalable player with an artificial intelligence calculation analysis system developed for multi-screen video wall applications.
It is equipped with Intel’s latest 7th generation desktop processor and supports multiple players via one Matrox or AMD PCI-E (x8) graphics card, and perform artificial intelligence analysis through another NVIDIA GPU card for AI analysis.
High recognition rate from AI analysis will provide on-site personnel with accurate data for better management and judgment.
IoT and Data
- Extension of IoT Applications(Consumer, industries, smart home, etc.)
- Data Explosion(爆炸)
- Artificial Intelligence of Things(IoT —> Big Data —> AI )
Data-driven AIoT
- Data Sources
- Data Processing and management
- Application-based analytics
- Application & sources
Data Processing and management
1. Data Collection
- Filtering
- Pre-processing
- Storing
- Ingestion(摄取)
2.1 Data Discovery
- Data Fusion（数据融合，集成多个数据源）
- Enrichment（使用模糊逻辑辅助搜索；获得相关的源地址信息；纠正拼写错误等）
- Modeling（建模）
- Indexing（标引）
- Annotation（标注）
2.2 Data Analytics
- Data Semantic（数据语义）
- Meta-data Management（元数据管理）
- Reasoning Contextual Data（上下文数据推理）
3. Data Protection
- Anonymize（匿名化）
- Data Masking（数据屏蔽，创建结构相似但不真实的数据版本，用以保护实际数据）
- Data Transformation（数据转换，从一种格式或结构转换为另一种格式或结构的过程）
- Sharing Control（共享控制）
###4. Data Publication
- Publication（发表）
- Open Data Sharing（开放的共享控制）
- Personal Data Sharing（个人数据共享）
- Visualization and Report（可视化报告）
AI-Based Deep Analysis
Decision Management（决策管理）
Discovery and Exploration（发现和探索）
Reporting and Analytics（报告和分析）
Predictive Analytics（预测分析）and Modelling
AI algorithms used in the field of data analysis
// TODO
Linear regression（线性回归）
举例：y = B0 + B1 * x 给定输入x，我们将预测y，线性回归学习算法的目标是找到系数B0和B1的值Logistic Regression（逻辑回归）
The prediction of the output is worth transforming using nonlinear functions called logical functionsBayes Theorem（朴素贝叶斯）
KNN
Support Vector Machine
Random Forest
…
Trustworthiness in AIoT
// TODO，此处关于区块链，后续文章补充
Secure Decentralized Artificial Intelligence of Things (AI + Blockchain + IoT)
