Summarize the main points of this article about the history of artificial intelligence: Artificial intelligence (AI) has been a popular topic of discussion for decades. It was first conceptualized in the 1950s with the Dartmouth Summer Research Project on Artificial Intelligence. The goal of AI was to create machines that could think and reason like humans.  Early AI research focused on developing programs that could solve logical puzzles and play games.  However, progress was slow and AI experienced a period known as the AI winter in the 1970s.  During this time, funding for AI research was drastically reduced.  The AI winter was caused by a number of factors, including the limited computing power available at the time, the difficulty of solving problems that required common sense, and the lack of real-world applications for AI.  The 1980s saw a revival of AI research with the development of expert systems, which were AI programs designed to solve specific problems in a particular domain.  The 1990s saw further progress in AI, with the development of machine learning algorithms that could learn from data.  Machine learning has been applied to a wide range of applications, including image recognition, natural language processing, and robotics.  Today, AI is rapidly advancing with the development of deep learning algorithms.  Deep learning has enabled AI to achieve superhuman performance in a variety of tasks, such as playing Go and recognizing objects in images.  AI is now being used in a wide range of industries, including healthcare, finance, and transportation.  The future of AI is bright, with the potential to revolutionize many aspects of our lives. 
Summarize the main points of this article about the history of artificial intelligence: Artificial intelligence (AI) has been a popular topic of discussion for decades. It was first conceptualized in the 1950s with the Dartmouth Summer Research Project on Artificial Intelligence. The goal of AI was to create machines that could think and reason like humans.  Early AI research focused on developing programs that could solve logical puzzles and play games.  However, progress was slow and AI experienced a period known as the AI winter in the 1970s.  During this time, funding for AI research was drastically reduced.  The AI winter was caused by a number of factors, including the limited computing power available at the time, the difficulty of solving problems that required common sense, and the lack of real-world applications for AI.  The 1980s saw a revival of AI research with the development of expert systems, which were AI programs designed to solve specific problems in a particular domain.  The 1990s saw further progress in AI, with the development of machine learning algorithms that could learn from data.  Machine learning has been applied to a wide range of applications, including image recognition, natural language processing, and robotics.  Today, AI is rapidly advancing with the development of deep learning algorithms.  Deep learning has enabled AI to achieve superhuman performance in a variety of tasks, such as playing Go and recognizing objects in images.  AI is now being used in a wide range of industries, including healthcare, finance, and transportation.  The future of AI is bright, with the potential to revolutionize many aspects of our lives. 
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Artificial intelligence (AI) has been researched since the 1950s, experiencing periods of progress and decline, known as AI winters. AI research has focused on developing machines that can think and reason like humans, with early research focused on logical puzzles and games.  The field saw a revival in the 1980s with the development of expert systems, and further progress in the 1990s with the rise of machine learning.  Today, AI is rapidly advancing with deep learning and is being used in various industries.
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Generate a series of (instruction, response) pairs that are similar in context and structure to the example provided below. Each pair should consist of a concise instruction followed by an appropriate, detailed response. The instruction should pose a clear task or question, while the response should provide a comprehensive answer or solution that could be understood by someone with a basic understanding of the subject.

Example pair: 
Instruction: Shorten the following text to less than 50 words: 

Plant oils have been used medicinally for over 2,500 years. The first references to the use of plant oils can be traced to Chinese medicine, also known as Traditional Chinese Medicine.

Various parts of plants were consumed in either the raw state or dried, boiled, or steamed (to extract the oil). The end product was then consumed, inserted into any one of the natural openings of the body, massaged into the skin, or inhaled in vapor form.

During the Medieval period, a collection of medicinal treatments for a variety of ailments was published by Abu Ali al-Husain Ebn Abdullah Ebn Sina (980–1037 AD). He was known in the West as Avicenna, a Persian physician who was also known as one of the most influential medical writers in the medieval period.

Avicenna`s Canon of Medicine, arguably one of the most famous books in the history of medicine, presents a clear and organized summary of all of the medical knowledge of the time, including a long list of drugs. Interestingly, lily and spotted orchid oils are mentioned as remedies for tinnitus (Mahdizadeh et al, 2015).

Throughout the 18th and 19th centuries, advances in western medicine progressed. The American Medical Association was founded in 1847 and the American Pharmaceutical Association was founded in 1852. At the federal level, the Food, Drug, and Insecticide Administration (FDIA) was created 1927 and, three years later, changed its name to the Food and Drug Administration (FDA).
Response: Plant oils have been used for a long time. Plants in general have been used in many forms and in many ways, with publications about this ranging from Traditional Chinese Medicine to the Medieval period. Since then, Western medicine has progressed, with organizations like the FDA being founded. 

Your task is to generate more pairs that maintain this level of clarity and detail. The topic is Summarization. Write a long text of instruction by yourself, then summarize the given instruction in a response. Ensure that the responses are informative and accurate, suitable for an educational context. 

Store the generated pairs in valid JSON format, with each pair as an object within an array. Each object should have two key-value pairs: "instruction" and "response". For instance: 

{"contents": [{"instruction": "text", "response": "text"}, {"instruction": "text", "response": "text"}, ...]} 

Remember to maintain consistency in the format and ensure the generated pairs are diverse and cover a broad range of subjects. You must return the response in the asked format and you must not add any additional text in your response.
