History Of Artificial Intelligence

In 1956, Dartmouth College used the term “AI” for the first time. Cognitive scientist Marvin Minsky felt optimistic about the technology’s possibilities. During the “AI winter” of 1974–1980, when many criticized the rate of development, government funding in the field fell.
The British government started funding the technology again because they were worried about Japanese competition, which reignited interest in the technology in the 1980s. IT CREATED HISTORY when IBM’s Deep Blue beat a Russian Grandmaster for the first time in 1997.

Strong AI vs. Weak AI

Weak AI and strong AI are two general types frequently distinguished when discussing artificial intelligence (AI). Let’s examine each type’s attributes in more detail:

Weak AI (Restricted AI)

These AI systems do their assigned tasks exceptionally well but lack general intelligence. Voice assistants like Siri or Alexa, recommendation algorithms, and image recognition systems are a few examples of weak AI. Weak AI operates within set parameters and cannot generalize outside its specialized field.

(General AI) powerful AI

Strong AI, usually called general AI, describes AI systems that are intelligent enough to compete with or even outperform humans in various tasks. Strong AI would be akin to human cognition in that it would be able to comprehend, reason, learn, and use information to solve complicated problems. Strong AI development, however, is still primarily a theoretical endeavour and has yet to be completed.

Types of Artificial Intelligence

Initially Reactive

These machines, which specialize in a single line of work, have no memory or data to work with. For instance, when playing chess, the computer watches the moves and chooses the move that will give it the best chance of winning.

Small Memory

These devices gather past information and keep adding it to their memory. Although their memory is limited, they have enough experience or knowledge to make wise decisions. For instance, using the geographic information that has been acquired, this system can recommend a restaurant.

Theories of Mind

This sort of AI can communicate socially and comprehend thoughts and emotions. A machine based on this type has yet to be created, though.


Machines The next iteration of these novel technologies is self-aware machines. They will be conscious, aware, and intelligent.

In what ways are we currently employing artificial intelligence?

We live in a world where AI is all around us. AI is already everywhere, from virtual assistants like Amazon’s Alexa to the internet’s ability to forecast our future purchasing preferences. Autonomous vehicles are another example of how AI is used.

The graph demonstrates how we got here by focusing on the last 20 years of AI progress. The data was obtained from a series of experiments that compared the ability of humans versus artificial intelligence in five distinct areas, ranging from handwriting recognition to language interpretation.Accordingly, when the model’s performance passes the zero line, it signifies the AI system performed better on the relevant exam than the test’s human participants.

No machine could consistently do language or image recognition at a human level just ten years ago. However, as the graph demonstrates, AI systems have improved steadily and outperformed humans in testing in these areas. These AIs’ performance could be more consistent outside of these benchmark tests. In some situations in the actual world, computer systems continue to perform far worse than people. However, some of these AI system implementations are already so affordable that they can be found on the phone you carry about. For example, image recognition can classify your images, and speech recognition can transcribe your words.

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