Artificial Intelligence (AI) started in 1956 at Dartmouth Conference, although the term Artificial Intelligence was invented by John McCarthy. The early stages of AI research focused on problem-solving and symbolic thinking, giving rise to concepts such as logic theorists and general problem solvers.

In the early 1980s, system clever professional appear, and in the mid-2000s, great step were made in the development of machine learning and neural networks. Open AI continues to evolve today, influencing various improvements in industries around the world. Her story represents global recognition of the drive to develop AI as system that is similar to human brain.

What are Artificial Intelligence (AI) and General Intelligence (AGI)?

Artificial Intelligence (AI) refers to a technology that is quickly changing the society and the way people work and even communicate with devices. But let me first start by addressing the question, what is AI, and how does it differ from Artificial General Intelligence or AGI? So in this article, we’ll give you an overview of these concepts, how they are different from one another, and why they matter especially in terms of technology and AI innovation. Let\’s try to understand artificial intelligence. How does it work? Let\’s start now!

1. What is Artificial Intelligence (AI)?

Artificial Intelligence (AI) can be defined as a branch of computer science which creates intelligent entities that work and think like humans. It consists of problem solving abilities, decision making genius, language competency, data learning, and data differentiation.

AI is currently present in many spheres of our lives starting from personal assistants such as Siri and Alexa, suggested materials on Netflix and products on websites.

It’s in use in industries across sectors, from healthcare to finance to transportation. It is going global, from recommending a restaurant to ordering food, self-driving cars are stepping into the future.

Types of AI:

 Narrow AI (Weak AI):

Otherwise called “Weak AI,” Narrow AI is developed for the purpose of addressing a certain number of functions only. It is good at these tasks but can do nothing else it is programmed to do. Common examples include:

• Mobile applications – Personal assistants (Siri, Alexa etc.),
• Electric-Cars (such as Tesla’s autopilot). 
• Recommendation systems that are used frequently in online platforms such as Netflix, Amazon, etc.     

Machine Learning (ML):      

A branch for AI, is the Machine Learning (ML), which allows systems to operate and upgrade more effectively through experience and teach themselves. ML algorithms are used in applications like:

• Spam detection
• Image and speech recognition
• Predictive analytics

Deep Learning (DL):

Part of a larger category of Machine Learning, Deep Learning relies on neural networks to replicate how the human brain functions. This technology powers advanced applications like:

• Electric Vehicles
• Facial recognition

That is why the area of natural language processing (NLP) seems applicable and promises to deliver various benefits.

2. What is Artificial General Intelligence (AGI)?

Artificial General Intelligence or AGI and is also sometimes known as “Strong AI” is a theoretical type of AI design which is supposed to mimic the operations of a human brain.

While narrow AI is an artificial intelligence focused on the particular problem domain, AGI can reason, learn and act within a vast array of fields as would a human.

Why is AGI So Important?

AGI is the next generation of artificial intelligence platforms which is considered to be achievable in the future where the machine flexibility is as flexible as the human mind. If embodied in practice, AGI could transform economies, including the health care and even space economy. However, it also brings about ethical issues on who holds control, safety, and whether machines shall exceed human intelligence.

Key Differences Between AI and AGI

Applications of AI and AGI:

1. Applications of AI:

It must also be noted that Artificial Intelligence is already in use in different fields. Some notable applications include:

• Healthcare: In diagnosing diseases, treatment and robotic operations, AI is implemented.
• Finance: Some of the key applications of AI includes fraud detection, automated trading systems, and customer service bots.
• Transportation: Self-driving transport cars are AI-driven as is the traffic management system.
• Entertainment: Recommendation systems on sites such as Netflix and Spotify are a function of AI.

2. Applications of AGI:

Although AGI can still just be thought of as a concept, the possibilities for its uses go on practically infinitely. Some possible uses include:

• Automated Scientific Discovery: It could draw big data, formulate hypotheses, and make simulations in different fields including medicine and physics.
• Advanced Robotics: At the core of AGI-powered robots was their applicability in a number of domains including healthcare, manufacturing, and others.
• Global Problem Solving: The advanced AGI systems might help to contribute to such important questions of the humanity as climate change, distribution of resources, and poverty if the new technologies were able to analyze great amounts of data and make decisions.

The Future of AI and AGI:

With Artificial Intelligence progressing day by day, even more powerful applications are likely to be implemented across every business. By 2025 and beyond, A.I will probably be even more adaptive to our lives with the emergence of particular sectors including Electric cars, smart and efficient healthcare, and smart and effective education.

Artificial General Intelligence is still a work in progress but is being developed to achieve further potential. It should be noted that achieving true AGI will involve substantial technical, ethical, and societal obstacles.

Conclusion:

Artificial Intelligence and Artificial General Intelligence are two great strata of advancement in the intelligent systems domain. While AI has started disrupting various spheres and is becoming a part of everyday human life, AGI is still a hypothetical construct that may change the world as we know it one day. By knowing what AI and AGI are, and how and where they can be deployed the general public can be in a better place to analyze the future of artificial intelligence.