Introduction 

Strong Artificial Intelligence(AI) is an artificial intelligence that constructs mental abilities, thought processes, and functions that are impersonated from the human brain. It is more of a philosophical rather than practical approach. It is based on a belief that computers can be upgraded with the thought process, human beliefs, their approach and perceptions, and various other attributes of Strong or generalized AI normally observed in human beings. 

Strong AI or General intelligence means is developed to create programs and equipment similar to human beings. AI needs continuous processing, developing, and upgrading its capabilities to reach perfection. 

Though there is a lot of research in progress over the AI concept, it has not reached a successful implementation and hence is considered as the theoretical concept. Various experts believe that strong AI cannot be developed since it is next to impossible to replicate human emotions and get to the core of their occurrences. 

In this article let us look at:

  1. Tests of Strong AI 
  2. Strong AI vs Weak AI (Strong AI and Weak AI)
  3. Strong AI Trends 
  4. Strong AI Terms and Definition
  5. Deep Learning Applications

1. Tests of Strong AI 

  • Turing Test

In 1950, the Turing test in AI was proposed by Alan Turing in his paper “Computing Machinery and Intelligence”. The Turing Test involves several interactions between computers and machines over text chat. An interrogator is a person who evaluates the responses given by human and the machine. If the responses are not acceptable as compared to responses with that of a human, then the machine is not considered intelligent. 

Initially, the Turing test was considered a theoretical test; however, the machines started to pass the test in the 1990s. Thus the Extended Turing test was developed because a strong AI needs to perform multiple tasks with intelligence. 

There are various versions of the Turing test, such as the reverse Turing test, CAPTCHA, Game Bot Turing test, and many others for general AI are also Turing test example.    

  • Chinese Room Argument (CRA) 

CRA is created by John Searle in 1980, is a paper where he has discussed the understanding and thinking capabilities with which computers would never be able to abide. Searle debates that Strong AI implementation needs a human mind to get successful in understanding and thinking capabilities. 

2. Strong AI vs Weak AI (Strong AI and Weak AI)

Strong AI needs to experience the same development process that starts from childhood to adulthood of the human brain. It should develop its common sense and communication skills developed from the observation of people, surroundings, and many other elements. However, it is very difficult to establish the fact that when will be the strong AI developed because it is hard to identify the point of consensus. 

Weak AI is based on simulation of human cognition. Weak AI can substitute for medium-level skilled workers. It cannot reach the level of strategic intelligence that is required in the formulation of strategies. Weak AI depends on human interaction for various parameters and needs training data to reach the accuracy level. 

In recent years the Artificial Intelligence use has increased to a vast proportion due to its unbeatable characteristics. Web browsers have started to give instant results even with voice and image recognition. 

  • Cyber Security 

Artificial Super Intelligence plays a vital role in security breach detection. compliance with security laws, controlling, monitoring, and risk management and analysis. Since scientists work over its up-gradation and enhancement of capabilities, AI has various dimensions left to discover, especially in privacy and security to maintain the integrity and confidentiality of the data. 

  • Entertainment and content creation: 

The quality content of visual media is increasing era by era with the effective utilization of artificial intelligence. Movies, video games, musical streams, and many others have improvised over its quality.

  • Artificial Intelligence Enabled Chips 

AI-Enabled Chip is specialized processors that are integrated with the CPU to enable it to give effective and efficient output to the users. Facial recognition, object detection from the image, language processing, etc can be carried out at a faster pace. These processors will immensely boost AI-based applications’ performance. 

  • AI with the Internet of Things 

IoT devices can effectively implement the results that are provided by the  AI algorithms by using the data collected by the IoT. The integration of AI with IoT has led to the development of various smart cities.  

AI integration with Cloud computing is another revolutionary development that can do wonders for the technological world, further assisting in the enhancement of the security of privacy of the users. 

4. Strong AI Terms and Definition

Various terms are associated with strong AI, and it is essential to define them appropriately to avoid any wrong interpretation. 

  • Artificial Intelligence: 

Artificial Intelligence refers to the replication and integration of machines with capabilities of the human being, such as understanding, analyzing, and thought process. 

  • Machine learning: 

Machine learning is a concept in which a computer program is trained to learn and adapt to the new data based on its programming without a human interface. It helps to keep the algorithm that are built-in computers updated with trends in the global economy. 

  • Deep Learning: 

Deep learning refers to an AI function that replicates the functioning of the human brain in adapting, processing, analyzing, and creating patterns that are used in the decision-making process. It is a kind of machine learning that helps in the prevention and detection of fraud and money laundering activities.  

5. Deep Learning Applications

  • Self-Driving Cars: 

Deep learning has made the autonomous mode of driving a reality. Numerous sets of commands are fed into a system to build a model. It is trained on the various data and tested for appropriate results.

  • Fraud News detection: 

Deep learning assists in developing the identifiers that can classify between fake and real news. It also warns you of any privacy breaches. 

  • Virtual Assistants: 

Various virtual assistants such as Google Assistant, Siri, and Alexa have reflected how deep learning can create advanced technologies that can work on the voice recognition of human being. 

Deep learning has vast applications in this trending globe where the necessities of the consumers are increasing. Visual recognition, Fraud detection, Child delayed development detection, Personalizing, Sound Addition to silent movies, and many others that are an example of Strong AI, have shown that how deep learning has improved human experiences along with his security. 

Conclusion

If AI is used appropriately, it can ease the life of human beings. Therefore, the controlled evolution of AI is required to create a harmless technological environment. In the future, AI will go on discovering various dimensions for its implications. Techniques like Deep learning and Machine learning can do wonders for technological companies, but on the other hand, they can lead to a reduction of manual work, which can be adverse in densely populated countries. Thus, AI needs to develop and used as per the convenience of the demography.

There are no right or wrong ways of learning AI and ML technologies – the more, the better! These valuable resources can be the starting point for your journey on how to learn Artificial Intelligence and Machine Learning. Do pursuing AI and ML interest you? If you want to step into the world of emerging tech, you can accelerate your career with this Machine Learning And AI Courses by Jigsaw Academy.

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