Artificial General Intelligence AGI

pcbuck April 22, 2021 0 Comments



1. Artificial Intelligence Is All Around Us


It’s a proven fact based on today’s tech world scenario. This is one of themost common facts about artificial intelligence and yet many people still findit hard to believe. But, the fact is, we already have AI technologysurrounding us, seamlessly managing various technology in no time. A greatexample of AI can be seen in our different means of transportation, like inairplanes in the form of ATC (Air Traffic Control).In addition to this, there are many other examples like driverless cars,connected homes, smart appliances, AI-based mobile apps, etc. that we use inour day-to-day lives.

Types Of Artificial Intelligence Systems:


If I were to name a technology that completely revolutionized the 21stcentury, it would be Artificial Intelligence. AI is a part of our everydaylife and that’s why I think it’s important we understand the differentconcepts of Artificial Intelligence. This article on Types Of ArtificialIntelligence will help you understand the different stages and categories ofAI.To get in-depth knowledge of Artificial Intelligence and Machine Learning, youcan enroll for live Machine Learning Engineer Master Program by Edureka with24/7 support and lifetime access.The following topics will be covered in this article:

Types Of Learning In Artificial Intelligence


1. Artificial Narrow Intelligence 2. Artificial General Intelligence 3. Artificial Super IntelligenceThese are the three stages through which AI can evolve, rather than the 3types of Artificial Intelligence.Let’s understand each stage in depth.

Artificial General Intelligence (AGI)


Also known as Strong AI, AGI is the stage in the evolution of ArtificialIntelligence wherein machines will possess the ability to think and makedecisions just like us humans.There are currently no existing examples of Strong AI, however, it is believedthat we will soon be able to create machines that are as smart as humans.Artificial General Intelligence – Types Of Artificial Intelligence – EdurekaStrong AI is considered a threat to human existence by many scientists,including Stephen Hawking who stated that:“The development of full artificial intelligence could spell the end of thehuman race…. It would take off on its own, and re-design itself at an ever-increasing rate. Humans, who are limited by slow biological evolution,couldn’t compete and would be superseded.”

Artificial Super Intelligence (ASI)


Artificial Super Intelligence is the stage of Artificial Intelligence when thecapability of computers will surpass human beings. ASI is currently ahypothetical situation as depicted in movies and science fiction books, wheremachines have taken over the world.Artificial Super Intelligence – Types Of Artificial Intelligence – EdurekaI believe that machines are not very far from reaching this stage taking intoconsiderations our current pace.“The pace of progress in artificial intelligence (I’m not referring to narrowAI) is incredibly fast. Unless you have direct exposure to groups likeDeepmind, you have no idea how fast—it is growing at a pace close toexponential. The risk of something seriously dangerous happening is in thefive-year timeframe. 10 years at most.” —Elon Musk quoted.So, these were the different stages of intelligence that a machine canacquire. Now let’s understand the types of AI, based on their functionality.

Machine Learning


Machine Learning is the science of getting machines to interpret, process andanalyze data in order to solve real-world problems.Machine Learning – Types Of Artificial Intelligence – EdurekaUnder Machine Learning there are three categories: 1. Supervised Learning 2. Unsupervised Learning 3. Reinforcement LearningTo learn more about Machine Learning, you can go through the following blogs: 1. Machine Learning Tutorial for Beginners 2. What is Machine Learning? Machine Learning For Beginners

Data Analysis Using Medical Artificial Intelligence


One of the main challenges of today’s medicine is the overwhelming amount ofclinical data. Researchers are predicting that by 2020, the healthcare datawill double approximately every 73 days. At the same time, around 80% of thatdata is unstructured. This is where artificial intelligence becomesindispensable. Moreover, AI can read the information and provide a cognitivesummary of patients’ records. In 2016, IBM Watson AI technology was able torapidly cross-reference 20 million oncology records. Also, it correctlydiagnosed a rare leukemia condition in a patient.

The Future of Artificial Intelligence


Artificial intelligence is impacting the future of virtually every industryand every human being. Artificial intelligence has acted as the main driver ofemerging technologies like big data, robotics and IoT, and it will continue toact as a technological innovator for the foreseeable future.Employing machine learning and computer vision for detection andclassification of various “safety events,” the shoebox-sized device doesn’tsee all, but it sees plenty. Like which way the driver is looking as heoperates the vehicle, how fast he’s driving, where he’s driving, locations ofthe people around him and how other forklift operators are maneuvering theirvehicles. IFM’s software automatically detects safety violations (for example,cell phone use) and notifies warehouse managers so they can take immediateaction. The main goals are to prevent accidents and increase efficiency. Themere knowledge that one of IFM’s devices is watching, Gyongyosi claims, hashad “a huge effect.”Marc Gyongyosi | Photo Credit: IFM/OneTrack.AIThe lower level of IFM wasdesigned to mimic a warehouse environment so products can be effectivelytested on site. | Photo Credit: IFM/OneTrack.AI“If you think about a camera, it really is the richest sensor available to ustoday at a very interesting price point,” he says. “Because of smartphones,camera and image sensors have become incredibly inexpensive, yet we capture alot of information. From an image, we might be able to infer 25 signals today,but six months from now we’ll be able to infer 100 or 150 signals from thatsame image. The only difference is the software that’s looking at the image.And that’s why this is so compelling, because we can offer a very importantcore feature set today, but then over time all our systems are learning fromeach other. Every customer is able to benefit from every other customer thatwe bring on board because our systems start to see and learn more processesand detect more things that are important and relevant.”

What is Artificial Intelligence (AI)?


> The science and engineering of making intelligent machines, especially> intelligent computer programs. – Professor John McCarthyProf. John McCarthy also is known to be as the father of ArtificialIntelligence.In other words, Artificial Intelligence is a way of making an electronicsmachine to think intelligently.A robot or machine is said to be intelligent if they complete their task byitself and learn by their own mistakes, like a human child.The motto of AI is to build a machine, who can think, learn, behave andunderstand independently as humans and even surpass him. And also able toadopt new situations based on current happening situations.

Difference between AI and Machine Learning


These two terms are correlated to each other and use interchangeably. For thisreason, it creates lots of confusion in many of us brain.But, they are not the same term. Let’s understand with an example to clear ourwrong perception.If AI is – tree then ML is – one of the main Branch of treeAs we know, Artificial Intelligence is ‘Smart’ then who makes it smart? Offcourse the ‘Data’ and who feeds that data to AI? Yes, you are absolutely rightMachine Learning provide the data to AI.Machine Learning is a subset of Artificial Intelligence. We can say that thebackbone of AI is Machine Learning.Without Machine Learning machine can’t able to perform any task on its own.Therefore you have to get some knowledge of ML if you opt for ArtificialIntelligence as a career option.If you want to learn about Machine Learning and want to know various ML careerpaths check out this article; Machine Learning Career Path [Things You ShouldKnow]To become successful in the Artificial Intelligence career path you must havea clear understanding of how machine learns from scratch.Without ML AI is completely zero i.e. without ML there is a point of AI

Strong Artificial Intelligence


Many scientist and engineer also named this AI as Artificial GeneralIntelligence (AGI)The aim behind this AI is to achieve critical thinking as a human brain did.And be able to do all the regular human task appropriately.So far there is no AI who is called to be as Strong AI

Applications of Artificial Intelligence


Artificial Intelligence has already touched our lives in many ways that youmight not notice, for example… * Suggested Ads pops up in your Facebook feed based upon your searching history or cookies. * Have you ever played games such as solitaire, chess, poker etc. and you choose your opponent as a computer? You might not know but your opponent is an AI. * Every time we go for google search some kind of AI being used to show us the best possible result. * We need a translation between languages to understand different languages especially when we go to other countries. So we use Google translate, which is also using AI. * Netflix’s movie suggestions based on movies you have watched in the past.There are a plethora amount of AI examples available today I have listed onlya few of them.Nowadays many mobile application and software is based on ArtificialIntelligence. Actually, we are quite surrounded by Artificial Intelligence.This would not be wrong to say Artificial Intelligence technology is growingat a fast pace and adapting all the different markets.Knowing the above-mentioned examples and various applications, I am assumingyou got the answer why Artificial Intelligence technology is creating buzzaround the world and so why everybody wants to talk about it and know aboutit.That is the reason why you are also here.So, this is the end of Part 1 of the Artificial Intelligence career path andfrom now onward we will discuss Part 2.Let’s understand, what are the things you should know? If you want to be partof this evolving and futuristic technologyPART 2

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