Turing test

Early research on neural networks

1. 1956, Turing Test: Alan Turing proposed the "Turing Test" to explore whether computers can exhibit intelligence similar to humans.

2. In 1997, IBM Deep Blue defeated the world chess champion: The Deep Blue computer developed by IBM defeated the world chess champion Garry Kasparov in a game, marking an important breakthrough in artificial intelligence.

3. In 2011, IBM Watson won the Jeopardy Challenge: IBM's cognitive computing system Watson defeated human contestants in the American knowledge competition show "Jeopardy!" demonstrating the powerful capabilities of artificial intelligence.

4. In 2016, AlphaGo defeated the world champion of Go: AlphaGo developed by DeepMind, a subsidiary of Google, defeated the world champion of Go, Lee Sedol, in the game, triggering global attention and discussion on artificial intelligence.

rule based system

logic programming

ontology

semantic network

diagnostic system

decision support system

feedforward neural network

feedback neural network

convolutional neural network

recurrent neural network

supervised learning

unsupervised learning

sensor technology

motion control

adaptive control

multi-agent system

genetic algorithm

artificial life

Classification problem

regression problem

cluster analysis

Dimensionality reduction

correlation analysis

Markov decision process

Q-learning and policy gradient

1. Neural network is a computing model that simulates the structure of neurons in the human brain.

2. Neural network includes input layer, hidden layer and output layer.

3. Activation functions such as ReLU, Sigmoid, etc. are used to introduce nonlinear relationships.

4. The loss function is used to measure the difference between the predicted value and the true value.

5. Optimization algorithms such as gradient descent, stochastic gradient descent, etc. are used to update weights.

6. The backpropagation algorithm adjusts the weights by calculating gradients.

7. Convolutional neural network (CNN) is used to process image data, Recurrent neural networks (RNN) are used to process sequence data.

8. Long short-term memory network (LSTM) combines the advantages of LSTM and CNN and is suitable for processing time series data.

9. Generative adversarial network (GAN) consists of a generator and a discriminator and can generate realistic data.

TensorFlow

PyTorch

BERT

GPT series

ASR system

speech synthesis

job aid

Educational applications

Smart Assistant

interactive robot

home automation

security monitoring

traffic management

Energy optimization

Algorithmic fairness

Diversity and Inclusion

career reinvention

lifelong learning

Curriculum

Practice projects

MOOC platform

Professional certification

university laboratory

Scientific research institutions

technological innovation

Industrial cooperation

emerging industries

Upgrading of traditional industries

Changes in career structure

Shifting skill requirements

consumption habits

interpersonal communication

globalization

cultural integration

technological competition

Cooperation and conflict

science and technology policy

public safety

Robot rights

Machine ethical decision-making

Personal information protection

Data encryption technology

international standards

Domestic regulations

product liability

Service Responsibilities

Medical image analysis

Genomics data processing

wearable devices

Remote health monitoring

credit score

market analysis

high frequency trading system

Robo-advisory

path planning

environmental awareness

warehouse automation

Logistics optimization

adaptive learning system

Intelligent tutoring robot

student behavior analysis

Recommended teaching resources