Artificial Intelligence

Creating my lecture about Artificial Intelligence, this MindMap shall help students to understand underlaying concepts of the technology with more explorative spirit

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Artificial Intelligence создатель Mind Map: Artificial Intelligence

1. Possible results

1.1. Description

1.2. Prediction

1.3. Prescription

2. Level of AI

2.1. Strong AI

2.1.1. transhumanism

2.1.2. upshifting

2.1.3. neurological implants

2.1.4. singularity

2.1.5. Expert Talk: Will strong KI take over? (german)

2.2. Weak AI

2.3. AI

2.3.1. Neural Networks

2.3.1.1. Machine Learning

2.3.1.1.1. Deep Learning

2.3.1.1.2. Supervised Learning

2.3.1.1.3. Unsupervised Learning

2.3.1.1.4. Reinforcement Learning

2.3.1.2. Preloading-Rules

2.3.1.3. Layer paradigme

2.3.1.3.1. Input Layer

2.3.1.3.2. Hidden Layer

2.3.1.3.3. Output Layer

3. AI-Driver

3.1. Big Data

3.1.1. Velocity

3.1.2. Variety

3.1.3. Veracity

3.1.4. Value

3.1.5. Volume

3.2. IoT

3.2.1. Internet of Everything

3.2.2. Internet of Things

3.2.3. Sensor Economy

3.3. Exponential growth and Moore's Law

4. Getting hands dirty in Data Science

4.1. Udacity

4.2. Udemy

4.3. codeacademy

4.4. Datacamp

4.5. 33ai

4.6. intuity

5. Use Cases

5.1. NLP

5.1.1. Speech-to-Text (STT)

5.1.2. Speech-to-Speech (STS)

5.1.3. Text-to-Speech (TTS)

5.1.4. Text-to-Text (TTT)

5.1.5. NLU

5.1.6. NLG

5.1.7. Sentiment-Analysis

5.1.8. Dialogue-Agents

5.1.9. Chat Bots

5.1.9.1. Social Bots

5.1.9.2. Text Bots

5.1.9.3. Avatar Bots

5.2. Natural Image Processing

5.3. Robotics

5.3.1. Simultaneous Localization and Mapping (SLAM) bezeichnet.

5.4. Expert-Systems

6. Ethics

6.1. Bias in - Bias out!

6.2. Explainable Artificial Intelligence (XAI)

6.2.1. Data transparency

6.2.2. transparent algorithms

6.2.3. human-friendly explanation of results

6.3. Level of automated decision

6.4. singularity

6.5. trolley problem

6.6. Uncanny Valley

6.7. MIT Moral Machine

7. Data Sources

7.1. Sensor Data / IoT

7.2. ERP

7.3. CRM

7.4. Public Machine Learning Training Data

7.4.1. Dataset Search

7.4.2. ProgrammableWeb

8. AI Playgrounds

8.1. NLP

8.1.1. Cloud Text-to-Speech – Sprachsynthese  |  Google Cloud

8.2. Public AI Labs

8.2.1. AI Experiments | Experiments with Google

8.2.2. AI Lab Projects - Microsoft AI Lab

8.2.3. IBM Lab

8.3. AI as artist

8.3.1. Celebrating Johann Sebastian Bach

8.3.2. The Infinite Drum Machine

8.3.3. bot or not

8.3.4. Quick, Draw!

8.4. Computer Vision

8.4.1. Gesichtserkennung | Microsoft Azure

8.4.2. Watson Visual Recognition - Overview

8.4.3. Which Face is Real?

8.4.4. How old do I look?