Course outline
Thought 1: At present, what is the biggest problem of Chinese enterprises - what is wrong with our enterprises?
Thought 2: How much potential is there for the scientific management model to drive the development of enterprises?
Thought 3: Is AI just a concept? How deep? How mysterious?
Lecture 1: Artificial Intelligence Has Arrived: The Current Situation and Significance of AI Research.
Discussion: In the future, what do you think can be replaced by robots and what can't?
1. The past, present and future of artificial intelligence.
Case in point: Deepmind: Artificial intelligence that can play games.
Case: Alphago vs. Lee Sedol man-machine battle.
Example: Robotics: A combination of deep learning and neural networks.
Second, the singularity is coming - Hawking's worries.
1.What true intelligence is.
2.What does a smarter-than-human AI look like?
3.What AI will eventually change.
Case study: What is the era of brain networking?
3. Analysis of the overall development of the artificial intelligence industry.
1.Roadmap for commercialization of artificial intelligence (AI).
Case in point: Robin Li's AI commercialization strategy.
2.5 Cornerstones and 6 Challenges of AI Entrepreneurship.
Case: Entrepreneurial inspiration for a voice call smart appliance company in Zhoushan.
3.China's unique AI start-up environment.
Case study: AI layout of Sinovation Works.
Case: **Internet + Artificial Intelligence Three-Year Action Implementation Plan" was launched.
Fourth, the three core significance of the development of artificial intelligence.
1.Revolutionize existing business processes.
Case Study: Smart Healthcare: AI will become a good helper for doctors.
2.Fundamental transformation of the existing business model.
Case: Smart Finance: The most promising field for AI to land.
3.Creative enhancement of existing social efficiency.
Case Study: Smart City: Building an Efficient City in the Face of Traffic Challenges.
Case study: Autonomous driving: the largest application scenario of AI.
Case: Smart Supermarket: From Robot Translation to Smart Supermarket.
Lecture 2: Definition and Technological Development of Artificial Intelligence.
1. Definition of artificial intelligence.
1.Narrow Artificial Intelligence.
2.Artificial intelligence in a broad sense.
3.About Super Artificial Intelligence.
Interaction: Which of the following AI applications are narrow AI, which are generalized AI, and which are super AI
2. The Turing Test and the First Artificial Intelligence Boom.
1.About the Turing test.
2.The Turing Test and Early Artificial Intelligence.
Case in point: The story of Kai-Fu Lee's challenge to the Turing test.
3. Speech recognition and the second artificial intelligence boom.
1.Phonology and deep learning.
2.Application scenarios and business opportunities of speech recognition.
Case study: iFLYTEK's speech recognition AI interactive platform.
Fourth, the third artificial intelligence triggered by deep learning + big data.
1.From neural networks to deep learning.
2.What is deep learning.
3.Big Data: The Cornerstone of Artificial Intelligence.
5. The current status of the technological development of artificial intelligence.
Case in point: Google Brain: The world's most powerful deep learning cluster.
Case in point: The strategic plan of the Chinese brain.
Sixth, the current opportunity of the artificial intelligence market is in the first.
1.The AI boom on a global scale.