What is Artificial Intelligence (AI)?

Back in the 1950’s, the field fathers, Minsky and McCarthy, described the ingenuity of any artificial intelligence in a machine that would have been considered in need of human ingenuity.

That’s obviously a broad definition, which is why sometimes you’ll see arguments about whether something is really AI or not.

Modern explanations of what it means to be intelligent are very clear. Francois Chollet is Google’s AI researcher and founder of the Camera software library. He said the ingenuity is related to the program’s ability to adapt and improve in a new environment along with its expanding its knowledge and applying it in unusual situations.

“Intelligence works best where you get new skills in jobs that you didn’t prepare for before,” he said

“Spying is not a skill in itself; it’s not something you can do; how well and how well you can learn new things.”

It is a description of where modern AI-enabled programs, such as virtual assistants, will happen as demonstrating ‘small AI’. Because it is the ability to make their training greater when performing limited tasks. Such as speech recognition or computer vision.

In general, AI systems exhibit the following behaviors associated with human intelligence:

Planning,

Learning,

Consulting, Problem solving,

Information representation,

Comprehension,

Movement,

Deception

and, to a lesser extent, social intelligence and art.

What are the uses of Artificial Intelligence?

AI is ubiquitous today, is used to recommend what you should buy next online and to understand what you mean to visual assistants, such as Amazon’s Alexa and Apple’s Siri to recognize who and what is in a photo, spot spam or spot spam detect credit card fraud.

What are the different types of AI?

At the highest level, we divide artificial intelligence into two broad types:

Narrow AI

Small AI is what we see around computers today – intelligent programs that have been taught or learned to do certain tasks without explicitly planning how they are done.

This kind of mechanical ingenuity reflects the speech and visual language of the real Siri assistant. Such as on the Apple iPhone, in the visual systems in self-driving cars. Also in the search engines that suggest products you might like based on previous purchases. Unlike humans, these programs can only learn how to perform tasks, which is why we call them micro-AI.

General AI

General AI is very different. It is a dynamic understanding that people have a flexible form of intelligence. AI can learn to do very different tasks, from cutting hair to creating spreadsheets or discussing various topics. This is the most popular type of AI in the movies, which was popular with HAL in 2001 or Skynet in The Terminator. But not today – and AI experts strongly contradict on how soon it will happen.

What can Narrow AI do?

There are a number of emerging small AI applications:

  • Translating video feeds from drones performs visual inspections of infrastructure such as oil pipelines.
  • Organizing personal and business calendars.
  • Answering simple customer service queries.
  • Integrate with other smart plans to perform tasks such as booking a hotel on time and place.
  • Helping radiologists identify potential tissues on X-rays.
  • Flagging inappropriate content online, detecting elevators from data collected by IoT devices
  • Creating a 3D 3D model from satellite images … the list goes on and on.

New applications for these learning programs are emerging all the time. Graphic card maker Nvidia recently unveiled an AI Maxine-based program, which allows people to make high-quality video calls, almost regardless of how fast their internet connection is. The system reduces the bandwidth required for such calls by 10 percent by not transmitting full video streaming to the Internet and instead of animating a small number of still images of the caller in a way designed to produce callers face-to-face movement and real-time video separation.

However, power that does not open like these systems, sometimes technological aspirations reveal the truth. An example of this is self-driving cars, which themselves supports AI-enabled programs as a computer vision. Automotive company Tesla is lagging behind in some ways behind CEO Elon Musk’s timeline of the Autopilot car program that is being upgrading to “full driving” from limited assisted driving, with the Full Self-Driving option recently released by a select team of professional drivers as part of the program. beta testing.

What Can General AI do?

A study has conducted between four teams of experts in 2012/13 by AI researchers Vincent C Müller and philosopher Nick Bostrom has reported a 50% chance that Artificial General Intelligence (AGI) will develop between 2040 and 2050, increasing to at 90% by 2075. The group went further, predicting that so-called ‘intelligence’ – defined by Bostrom as “any perception that surpasses the functioning of the human brain in almost every field of interest” – will expected about 30 years after the AGI.

However, the latest tests of AI experts are very cautious. Pioneers in the field of modern AI research such as Geoffrey Hinton, Demis Hassabis and Jann LeCun say that society is nowhere near developing AGI. Given the skepticism of leading lights in the field of modern AI and the very different nature of modern AI systems that are small in the AGI, perhaps little basis for the fear that conventional artificial intelligence will soon affect society.

That is to say, some AI experts believe that such assumptions are promising in our view of the limited understanding of the human brain and that the AGI is still centuries old.

What are other types of AI?

Another area of ​​AI research is the evolutionary computation.

It borrows from Darwin’s theory of natural selection. It sees genetic engineering evolving from random mutation and consolidation between generations in an effort to change the right solution to a given problem.

Finally, there are professional programs, where computers are organized into rules that allow them to make successive decisions based on a large number of inputs, allowing the machine to mimic the behavior of a human artist in a particular domain. An example of these information-based programs could be, for example, an airline flight system.

How will AI change the World?

The desire for robots to operate independently and to direct and navigate the world around them implies that there is a natural interaction between robots and AI.

While AI is just one of many technologies use in robots, AI helps robots to enter new environments such as self-driving cars, delivery robots and learn new skills. In early 2020, General Motors and Honda unveiled Cruise Origin, a non-electric car with Waymo, a self-driving group within the Google parent Alphabet, recently launched its robotic taxi service to the general public in Phoenix, Arizona, offering a square-mile coverage 50 in the city.

Will an AI steal your job?

The potential for smart plans to replace modern handicrafts is probably the most reliable thing at hand.

While AI cannot replace all function. It seems certain that AI will change the type of work with the only question being how fast. How automation will change the work environment.

There is very little field for human effort that AI has no power to influence.

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