Turing Test in Artificial Intelligence (AI)
In this page we will learn about History of Artificial Intelligence (AI) | Artificial Intelligence (AI) Maturation (1943-1952) | The birth of Artificial Intelligence (AI) (1952-1956) | The first AI winter (1974-1980) | The emergence of intelligent agents (1993-2011) | The second AI winter (1987-1993) | Deep learning, big data and artificial general intelligence (2011-present) | Application of Artificial Intelligence (AI)| Artificial Intelligence (AI) in Astronomy | Artificial Intelligence (AI) in Healthcare | Artificial Intelligence (AI) in Gaming | Artificial Intelligence (AI) in Finance | Artificial Intelligence (AI) in Data Security | Artificial Intelligence (AI) in Social Media | Artificial Intelligence (AI) in Travel and Transportation | Artificial Intelligence (AI) in Automobiles Industry Artificial Intelligence (AI) in Robotics | Artificial Intelligence (AI) in Entertainment Industry | Artificial Intelligence (AI) in Agriculture | Artificial Intelligence (AI) in E-commerce | Artificial Intelligence (AI) in Education
Turing Test in AI
Alan Turing devised a test in 1950 to determine whether a machine can think like a person. This test is known as the Turing Test. Turing claimed that a machine is intelligent if it can duplicate human responses under particular conditions in this test.
Turing proposed the Turing Test in his 1950 work "Computing Machinery and Intelligence," which addressed the question "Can Machine think?"
Artificial Intelligence (AI) Maturation (1943-1952)
- In 1943: Warren McCulloch and Walter Pits published the first work on artificial intelligence (AI) in 1943. They suggested an artificial neuron model.
- In 1949: Donald Hebb demonstrated an upgrading algorithm for altering the strength of connections between neurons in 1949. Hebbian learning is the name given to his rule.
- In 1950: In 1950, Alan Turing, an English mathematician, pioneered machine learning. In his paper "Computing Machinery and Intelligence," Alan Turing proposes a test. A Turing test can be used to determine whether or not a machine can demonstrate intelligent behavior comparable to human intelligence.
The birth of Artificial Intelligence (AI) (1952-1956)
- In 1955: Allen Newell and Herbert A. Simon built "Logic Theorist," the "first artificial intelligence program." This program verified 38 of 52 mathematical theorems, as well as discovering new and more elegant proofs for several of them.
- In 1956: At the Dartmouth Conference, American computer scientist John McCarthy coined the term "Artificial Intelligence." For the first time in history, AI coined as an academic field.
High-level computer languages like FORTRAN, LISP, and COBOL were invented at the period. And there was a lot of interest in AI at the time.
The golden years early enthusiasm (1956-1974)
- In 1966: The focus of the researchers was on creating algorithms that could solve mathematical issues. ELIZA, the first chatbot, was invented by Joseph Weizenbaum in 1966.
- In 1972: Japan produced WABOT-1, the world's first intelligent humanoid robot.
The first AI winter (1974-1980)
- The first AI winter took place between 1974 and 1980. The AI winter refers to a period when computer scientists faced a severe lack of government funding for AI research.
- During AI winters, there was a drop in public interest in artificial intelligence.
A boom of AI (1980-1987)
- In 1980: After a brief hiatus, AI returned with "Expert System." Expert systems have been built to mimic the abilities of a human expert to make decisions.
The American Association of Artificial Intelligence hosted its first national conference at Stanford University in 1980.
The second AI winter (1987-1993)
- Between 1987 to 1993, the AI Winter lasted for the second time.
- Investors and the government have once again halted funding for AI research, citing excessive costs and ineffective results. XCON, for example, was a very cost-effective expert system.
The emergence of intelligent agents (1993-2011)
- In 1997: IBM Deep Blue defeats Gary Kasparov, the world chess champion, and becomes the first computer to defeat a world chess champion.
- In 2002: AI made its first appearance in the house in the form of a vacuum cleaner called Roomba.
- In 2006: Artificial Intelligence (AI) was introduced into the business world. AI is now being used by companies like as Facebook, Twitter, and Netflix.
Deep learning, big data and artificial general intelligence (2011-present)
- In 2011: IBM's Watson won Jeopardy, a quiz show in which it had to tackle difficult questions and puzzles. Watson had demonstrated that it could comprehend plain language and solve complex problems fast.
- In 2012: Google released an Android software called "Google Now," which could present users with information in the form of a prediction.
- In 2014: Chatbot "Eugene Goostman" won a competition in the famed "Turing test" in 2014.
- In 2018: IBM's "Project Debater" argued tough topics with two master debaters and did exceptionally well.
Google introduced an AI application called "Duplex" that acted as a virtual assistant and took a
hairdresser appointment over the phone, and the lady on the other end didn't realize she was talking with a machine.
AI has now advanced to a phenomenal level. Deep learning, big data, and data science are all hot topics at the moment. Companies such as Google, Facebook, IBM, and Amazon are now using AI to create incredible technologies. Artificial Intelligence's future is exciting, and it will be highly intelligent.
Application of Artificial Intelligence (AI)
Artificial intelligence is used in a variety of ways in today's society. It is becoming increasingly important in today's world because it can efficiently handle complicated problems in a variety of areas, including healthcare, entertainment, banking, and education. Our daily lives are becoming more comfortable and efficient as a result of artificial intelligence.
The following are some of the areas where Artificial Intelligence is used:
Artificial Intelligence (AI) in Astronomy:
Artificial Intelligence (AI) can be extremely helpful in resolving complicated challenges in the universe. AI technology can assist in gaining a better understanding of the cosmos, including how it operates, its origin, and so on.
Artificial Intelligence (AI) in Healthcare:
In the previous five to ten years, AI has become more beneficial to the healthcare business and is expected to have a big impact.
AI is being used in the healthcare industry to make better and faster diagnoses than humans. AI can assist doctors with diagnosis and can alert doctors when a patient's condition is deteriorating so that medical assistance can be provided before the patient is admitted to the hospital.
Artificial Intelligence (AI) in Gaming:
AI can be employed in video games. AI machines can play strategic games like chess, in which the system must consider a vast number of different options.
Artificial Intelligence (AI) in Finance:
The banking and AI businesses are the ideal complements to each other. Automation, chatbots, adaptive intelligence, algorithm trading, and machine learning are all being used in financial activities.
Artificial Intelligence (AI) in Data Security:
Data security is critical for every business, and cyber-attacks are on the rise in the digital age. AI can help you keep your data safe and secure. Some examples are the AEG bot and the AI2 Platform, which are used to better determine software bugs and cyber-attacks.
Artificial Intelligence (AI) in Social Media:
Facebook, Twitter, and Snapchat, for example, have billions of user accounts that must be kept and handled in a very efficient manner. AI has the ability to organize and manage large volumes of data. AI can go through a large amount of data to find the most recent trends, hashtags, and user requirements.
Artificial Intelligence (AI) in Travel and Transportation:
For the travel industry, AI is becoming increasingly important. AI is capable of doing a multitude of travel-related tasks, including making travel arrangements and recommending hotels, flights, and the best routes to customers. The travel industry is utilizing AI-powered chatbots that can engage with clients in a human-like manner to provide better and faster service.
Artificial Intelligence (AI) in Automobiles Industry:
Some automotive companies are utilizing artificial intelligence to provide a virtual assistant to their users in order to improve performance. Tesla, for example, has released TeslaBot, an intelligent virtual assistant.
Various industries are presently working on self-driving automobiles that will make your ride safer and more secure.
Artificial Intelligence (AI) in Robotics:
In Robotics, Artificial Intelligence (AI) plays a significant role. Typically, conventional robots are programmed to execute a repetitive task; but, using AI, we may construct intelligent robots that can perform tasks based on their own experiences rather than being pre-programmed.
Humanoid Robots are the best instances of AI in robotics; recently, the intelligent Humanoid Robots Erica and Sophia were built, and they can converse and behave like people.
Artificial Intelligence (AI) in Entertainment Industry:
We already use AI-based applications in our daily lives with entertainment providers like Netflix and Amazon. These services display software or show recommendations using machine learning / artificial intelligence (ML/AI) algorithms.
Artificial Intelligence (AI) in Agriculture:
Agriculture is a field that necessitates a variety of resources, including effort, money, and time, in order to get the greatest results. Agriculture is becoming more computerized these days, and AI is becoming more prevalent in this industry. AI is being used in agriculture in the form of agriculture robotics, solid and crop monitoring, and predictive analysis. AI in agriculture has the potential to be extremely beneficial to farmers.
Artificial Intelligence (AI) in E-commerce:
AI is giving the e-commerce industry a competitive advantage, and it is becoming increasingly demanded in the market. Shoppers can use AI to find related products in their preferred size, color, or brand.
Artificial Intelligence (AI) in Education:
In education, artificial intelligence (AI) can automate grading so that the tutor can spend more time teaching. As a teaching assistant, an AI chatbot can communicate with students.
In the future, AI could serve as a personal virtual tutor for pupils, available at any time and from any location.
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