Create a timeline that demonstrates the history of artificial intelligence.
1943: Warren McCulloch and Walter Pitts created a model of artificial neural networks. 

1950: Alan Turing published "Computing Machinery and Intelligence," proposing the Turing Test, which measures a computer’s ability to imitate human conversation.

1956: John McCarthy is credited with coining the term 'artificial intelligence' at the Dartmouth Conference.

1960s: Early work on rule-based AI, and natural language processing.

1970s: Development of Expert Systems using AI.

1980s: Advancement of machine learning with the development of decision tree algorithms.

1990s: Emergence of the field of reinforcement learning.

2000s: Development of Support Vector Machines and Deep Learning.

2010s: Rapid growth in neural networks, deep learning, and machine learning algorithms, leading to advancements in natural language processing, computer vision, and robotics.

2020s: AI continues to evolve and mature, with continued research and development in areas such as machine learning, deep learning, and other AI techniques.
Complete the following task based on the instruction and optional input provided.### Instruction:
Create a timeline that demonstrates the history of artificial intelligence.

### Output:
1943: Warren McCulloch and Walter Pitts created a model of artificial neural networks. 

1950: Alan Turing published "Computing Machinery and Intelligence," proposing the Turing Test, which measures a computer’s ability to imitate human conversation.

1956: John McCarthy is credited with coining the term 'artificial intelligence' at the Dartmouth Conference.

1960s: Early work on rule-based AI, and natural language processing.

1970s: Development of Expert Systems using AI.

1980s: Advancement of machine learning with the development of decision tree algorithms.

1990s: Emergence of the field of reinforcement learning.

2000s: Development of Support Vector Machines and Deep Learning.

2010s: Rapid growth in neural networks, deep learning, and machine learning algorithms, leading to advancements in natural language processing, computer vision, and robotics.

2020s: AI continues to evolve and mature, with continued research and development in areas such as machine learning, deep learning, and other AI techniques.