Artificial Intelligence Around Us

by technologyandgadgets

During the 1980’s, in America there was much interest in the field of Artificial Intelligence. The great expectations of the 1980’s were followed by the skepticism of the 1990’s, at which time the limitations of capabilities of our current computers were emphasized. The skepticism of the 1990’s has now for the most part passed, and one of the main scientific and industrial challenges of the 21st century is the development of Artificial Intelligent Systems (AIS).

Table of Content :-

  • A Brief Introduction to Artificial Intelligence
  • Artificial Intelligence Expert Salary – Career Opportunity
  • Is Artificial Intelligence already here?
  • General Artificial Intelligence Will Be More Than Intelligence

A Brief Introduction to Artificial Intelligence

We all know that Siri, Google Now, and Cortana are all intelligent digital personal assistants on various platforms (iOS, Android, and Windows Mobile). In short, they help find useful information when you ask for it is using your voice; you can say “Where’s the nearest Indian restaurant?”, “What’s on my schedule today?”, “Remind me to call Mom or Dad at eight o’clock,” and the assistant will respond by finding information, relaying information from your phone, or sending commands to other apps.

AI is important in these apps, as they collect information on your requests and use that information to better recognize your speech and serve you results that are tailored to your preferences.

A Brief Introduction to Artificial Intelligence

Microsoft says that Cortana “continually learns about its user” and that it will eventually develop the ability to anticipate users’ needs.

Virtual personal assistants process a huge amount of data from a variety of sources to learn about users and be more effective in helping them organize and track their information.

Your smartphone, calculator, video games, car, bank & your house all use artificial intelligence daily; sometimes it’s obvious what its’ doing, like when you ask Siri to get you directions to the nearest gas station.

Sometimes it’s less obvious, like when you make an abnormal purchase on your credit card and don’t get a fraud alert from your bank. AI is everywhere, and it’s making a huge difference in our lives every day.

So, we can say that Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans.

For example, speech recognition, problem-solving, learning and planning. Today, Artificial Intelligence is a very popular subject that is widely discussed in the technology and business circles. Many experts and industry analysts argue that AI or machine learning is the future – but if we look around, we are convinced that it’s not the future – it is the present.

Yes, the technology is in its initial phase and more and more companies are investing resources in machine learning, indicating a robust growth in AI products and apps soon.

Artificial intelligence or machine intelligence is the simulation of human intelligence processes by machines, especially computer systems.

What is the use of AI?

Vision systems. The need to interpret, fully understand and make sense of visual input on the computer, i.e. AI is used to try and interpret and understand an image – industrial, military use, satellite photo interpretation.

What is the purpose of AI?

When AI researchers first began to aim for the goal of artificial intelligence, a main interest was human reasoning… The specific functions that are programmed to a computer may be able to account for many of the requirements that allow it to match human intelligence

What is an ASI artificial intelligence?

A superintelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds.

What is the goal of AI?

Colloquially, the term “artificial intelligence” is applied when a machine mimics “cognitive” functions that humans associate with other human minds, such as “learning” and “problem solving”. General intelligence is among the field’s long-term goals.

What are the different types of AI?

We need to overcome the boundaries that define the four different types of artificial intelligence, the barriers that separate machines from us – and us from them.

Type I AI: Reactive machines

Type II AI: Limited memory

Type III AI: Theory of mind

Type IV AI: Self-awareness

Is computer vision part of AI?

Artificial intelligence and computer vision share other topics such as pattern recognition and learning techniques.

Consequently, computer vision is sometimes seen as a part of the artificial intelligence field or the computer science field in general.

Is machine learning the same as artificial intelligence?

Increasingly, machine learning (ML) and artificial intelligence (AI) are cropping up as solutions for handling data. The two are often used interchangeably, and although there are some parallels, they’re not the same thing.

What are the fields of artificial intelligence?

· List of applications

· Optical character recognition.

· Handwriting recognition.

· Speech recognition.

· Face recognition.

· Artificial creativity.

· Computer vision, Virtual reality and Image processing.

· Diagnosis (AI)

· Game theory and Strategic planning.

How important is Artificial Intelligence?

AI is the machines which are designed and programmed in such a manner that they and think and act like a human. Artificial Intelligence becomes the important part of our daily life. Our life is changed by AI because this technology is used in a wide area of day to day services.

For most of us, the most obvious results of the improved powers of AI are neat new gadgets and experiences such as smart speakers, or being able to unlock your iPhone with your face.

But AI is also poised to reinvent other areas of life. One is health care. Hospitals in India are testing software that checks images of a person’s retina for signs of diabetic retinopathy, a condition frequently diagnosed too late to prevent vision loss.

Machine learning is vital to projects in autonomous driving, where it allows a vehicle to make sense of its surroundings. Artificial intelligence is already present in plenty of applications, from search algorithms and tools you use every day to bionic limbs for the disabled.

Sometimes it seems like every other website, app, or productivity tool is citing AI as the secret ingredient in their recipe for success.

What’s less common is an explanation of what AI is, why it’s so cool, and how companies are leveraging it to provide better user experiences.

If you don’t know much about AI, the absence of an explanation can be confusing.

Today, the field of artificial intelligence is more vibrant than ever and some believe that we’re on the threshold of discoveries that could change human society irreversibly, for better or worse.

Artificial Intelligence Expert Salary – Career Opportunity

Artificial Intelligence (AI) is a field of computer science whose techniques and concepts are widely being used in various products and services. AI techniques are being applied to many devices so that these devices begin to recreate human behavior. With AI, machines can get the capability to complete certain tasks with human intelligence and human intervention.

Professionals who master the concepts of AI are known as AI Experts. To become an expert, the Artificial Intelligence Course in India can be considered an excellent option that would help you upgrade your skillset.

Types of Artificial Intelligence (AI):

AI has a wide range of applications and is classified into three types:

  • Narrow AI: Artificial Narrow Intelligence (ANI), also named Weak AI, is a kind of artificial intelligence technology currently existing in today’s world. Devices or systems with narrow AI are designed to perform a specific task and collect information from the data set. Other than one specific task, narrow AI systems are not capable of anything else.
  • General AI: Artificial General Intelligence (AGI), also named Strong AI, is a kind of artificial intelligence technology where systems demonstrate human behavior and intelligence. This kind of technology is difficult to incorporate in machines because it is based on human behavior. This kind of AI has generally been demonstrated in sci-fi movies.
  • Super AI: Artificial Super Intelligence (ASI) is a kind of AI technology that would outshine the intelligence possessed by humans. Many people think that this kind of technology will lead to the destruction of human beings.

What is AI used for?

AI technology is widely being used for numerous systems, devices, and services. AI is a technology that helps to develop smart machines. Given below are some of the real-time uses of AI seen in our daily lives.

  • Online Shopping: AI helps to develop a user-friendly environment when it comes to online shopping. With the help of AI, a wide range of products can be suggested to the users based on the previous viewing history and other online auctions.
  • Virtual Assistants: Smartphones consist of virtual assistants known to answer questions asked by the user and perform specific tasks on the smartphone based on the user’s instruction. This is accomplished with the help of AI.
  • Preventing cybercrime: AI is being used to discover cybercrime or attacks by a hacker by identifying hidden patterns. Patterns are also identified by analyzing the nature of input data.
  • Language Translation: This is yet another common AI application where speech or text is translated to the desired language based on the user’s instruction.

In addition to these applications of AI, many other applications are on the road of planning. AI is a valuable asset of technology that should be treasured. Therefore, an artificial intelligence course is worth pursuing if this technology interests you. Artificial Intelligence Course Fees is reasonable and can be easily affordable by anyone who has the zeal to learn and become an expert.

Is Artificial Intelligence already here?

I, Eugene Goostman

The idea of artificial intelligence and the hopes and fears that are associated with its rise are fairly prevalent in our common subconscious. Whether we imagine Judgement Day at the hands of Skynet or egalitarian totalitarianism at the hands of V.I.K.I and her army of robots – the results are the same – the equivocal displacement of humans as the dominant life forms on the planet.

Some might call it the fears of a technophobic mind, others a tame prophecy. And if the recent findings at the University of Reading (U.K.) are any indication, we may have already begun fulfilling said prophecy.

In early June 2014 a historic achievement was supposedly achieved – the passing of the eternal Turing Test by a computer programme.

Being hailed and derided the world over as being either the birth of artificial intelligence or a clever trickster-bot that only proved technical skill respectively, the programme known as Eugene Goostman may soon become a name embedded in history.

The programme or Eugene (to his friends) was originally created in 2001 by Vladimir Veselov from Russia and Eugene Demchenko from Ukraine. Since then it has been developed to simulate the personality and conversational patterns of a 13 year old boy and was competing against four other programmes to come out victorious.

The Turing Test was held at the world famous Royal Society in London and is considered the most comprehensively designed tests ever. The requirements for a computer programme to pass the Turing Test are simple yet difficult – the ability to convince a human being that the entity that they are conversing with is another human being at least 30 percent of the time.

The result in London garnered Eugene a 33 percent success rating making it the first programme to pass the Turing Test.

The test in itself was more challenging because it engaged 300 conversations, with 30 judges or human subjects, against 5 other computer programmes in simultaneous conversations between humans and machines, over five parallel tests. Across all the instances only Eugene was able to convince 33 percent of the human judges that it was a human boy.

Built with algorithms that support “conversational logic” and openended topics, Eugene opened up a whole new reality of intelligent machines capable of fooling humans.

With implications in the field of artificial intelligence, cyber-crime, philosophy and metaphysics, its humbling to know that Eugene is only version 1.0 and its creators are already working on something more sophisticated and advanced.

Love in the Time of Social A.I.s

So, should humanity just begin wrapping up its affairs, ready to hand over ourselves to our emerging overlords? No. Not really. Despite the interesting results of the Turing Test, most scientists in the field of artificial intelligence aren’t that impressed.

The veracity and validity of the Test itself has long been discounted as we’ve discovered more and more about intelligence, consciousness and the trickery of computer programmes.

In fact, the internet is already flooded with many of his unknown kin as a report by Incapsula Research showed that nearly 62 percent of all web traffic is generated by automated computer programs commonly known as bots.

Some of these bots act as social hacking tools that engage humans on websites in chats pretending to be real people (mostly women oddly enough) and luring them to malicious websites.

The fact that we are already battling a silent war for less pop-up chat alerts is perhaps a nascent indication of the war we may have to face – not deadly but definitely annoying.

A very real threat from these pseudoartificial intelligence powered chatbots was found to be in a specific bot called “Text- Girlie”.

This flirtatious and engaging chat bot would use advanced social hacking techniques to trick humans to visit dangerous websites. The TextGirlie proactively would scour publicly available social network data and contact people on their visibly shared mobile numbers. The chatbot would send them messages pretending to be a real girl and ask them to chat in a private online room.

The fun, colourful and titillating conversation would quickly lead to invitations to visit webcam sites or dating websites by clicking on links – and that when the trouble would begin.

This scam affected over 15 million people over a period of months before there was any clear awareness amongst users that it was a chatbot that fooled them all.

The highly likely delay was simply attributed to embarrassment at having been conned by a machine that slowed down the spread of this threat and just goes to show how easily human beings can be manipulated by seemingly intelligent machines.

Intelligent life on our planet

Its easy to snigger at the misfortune of those who’ve fallen victims to programs like Text- Girlie and wonder if there is any intelligent life on Earth, if not other planets but the smugness is short lived.

Since most people are already silently and unknowingly dependent on predictive and analytical software for many of their daily needs.

These programmes are just an early evolutionary ancestor of the yet to be realised fully functional artificial intelligent systems and have become integral to our way of life.

The use of predictive and analytical programmes is prevalent in major industries including food and retail, telecommunications, utility routing, traffic management, financial trading, inventory management, crime detection, weather monitoring and a host of other industries at various levels.

Since these type of programmes are kept distinguished from artificial intelligence due to their commercial applications its easy not to notice their ephemeral nature.

But lets not kid ourselves – any analytical program with access to immense databases for the purposes of predicting patterned behaviour is the perfect archetype on which “real” artificial intelligence programs can be and will be created.

A significant case-in-point occurred amongst the tech-savvy community of Reddit users in early 2014.

In the catacombs of Reddit forums dedicated to “dogecoin”, a very popular user by the name of “wise_shibe” created some serious conflict in the community.

The forums normally devoted to discussing the world of dogecoins was gently disturbed when “wise_shibe” joined in the conversation offering Oriental wisdom in the form of clever remarks.

The amusing and engaging dialogue offered by “wise_shibe” garnered him many fans, and given the forums facilitation of dogecoin payments, many users made token donations to “wise_shibe” in exchange for his/her “wisdom”.

However, soon after his rising popularity had earned him an impressive cache of digital currency it was discovered that “wise_shibe” had an odd sense of omniscient timing and a habit of repeating himself.

Eventually it was revealed that “wise_shibe” was a bot programmed to draw from a database of proverbs and sayings and post messages on chat threads with related topics. Reddit was pissed.

Luke, Join the Dark Side

If machines programmed by humans are capable of learning, growing, imitating and convincing us of their humanity – then who’s to argue that they aren’t intelligent?

The question then arises that what nature will these intelligences take on as they grow within society? Technologist and scientists have already laid much of the ground work in the form of supercomputers that are capable of deepthinking.

Tackling the problem of intelligence piece meal has already led to the creation of grandmaster-beating chess machines in the form of Watson and Deep Blue. However, when these titans of calculations are subjected to kindergarten level intelligence tests they fail miserably in factors of inferencing, intuition, instinct, common sense and applied knowledge.

The ability to learn is still limited to their programming. In contrast to these static computational supercomputers more organically designed technologies such as the delightful insect robotics are more hopeful.

These “brains in a body” type of computers are built to interact with their surroundings and learn from experience as any biological organism would.

By incorporating the ability to interface with a physical reality these applied artificial intelligences are capable of defining their own sense of understanding to the world.

Similar in design to insects or small animals, these machines are conscious of their own physicality and have the programming that allows them to relate to their environment in real-time creating a sense of “experience” and the ability to negotiate with reality.

A far better testament of intelligence than checkmating a grandmaster. The largest pool of experiential data that any artificially created intelligent machine can easily access is in publicly available social media content. In this regard, Twitter has emerged a clear favourite with millions of distinct individuals and billions of lines of communications for a machine to process and infer.

The Twitter-test of intelligence is perhaps more contemporarily relevant than the Turing Test where the very language of communication is not intelligently modern – since its greater than 140 characters.

The Twitter world is an ecosystems where individuals communicate in blurbs of thoughts and redactions of reason, the modern form of discourse, and it is here that the cutting edge social bots find greatest acceptance as human beings. These socalled socialbots have been let loose on the Twitterverse by researches leading to very intriguing results.

The ease with which these programmed bots are able to construct a believable personal profile – including aspects like picture and gender – has even fooled Twitter’s bot detection systems over 70 percent of the times.

The idea that we as a society so ingrained with digital communication and trusting of digital messages can be fooled, has lasting repercussions.

Just within the Twitterverse, the trend of using an army of socialbots to create trending topics, biased opinions, fake support and the illusion of unified diversity can prove very dangerous. In large numbers these socialbots can be used to frame the public discourse on significant topics that are discussed on the digital realm.

This phenomenon is known as “astroturfing” – taking its name from the famous fake grass used in sporting events – where the illusion of “grass-root” interest in a topic created by socialbots is taken to be a genuine reflection of the opinions of the population.

Wars have started with much less stimulus. Just imagine socialbot powered SMS messages in India threatening certain communities and you get the idea.

But taking things one step further is the 2013 announcement by Facebook that seeks to combine the “deep thinking” and “deep learning” aspects of computers with Facebook’s gigantic storehouse of over a billion individual’s personal data.

In effect looking beyond the “fooling” the humans approach and diving deep into “mimicking” the humans but in a prophetic kind of way – where a program might potentially even “understand” humans.

The program being developed by Facebook is humorously called DeepFace and is currently being touted for its revolutionary facial recognition technology. But its broader goal is to survey existing user accounts on the network to predict the user’s future activity.

By incorporating pattern recognition, user profile analysis, location services and other personal variables, DeepFace is intended to identify and assess the emotional, psychological and physical states of the users.

By incorporating the ability to bridge the gap between quantified data and its personal implication, DeepFace could very well be considered a machine that is capable of empathy. But for now it’ll probably just be used to spam users with more targeted ads.

From Syntax to Sentience

Artificial intelligence in all its current form is primitive at best. Simply a tool that can be controlled, directed and modified to do the bidding of its human controller.

This inherent servitude is the exact opposite of the nature of intelligence, which in normal circumstances is curious, exploratory and downright contrarian. Man made AI of the early 21st century will forever be associated with this paradox and the term “artificial intelligence” will be nothing more than a oxymoron that we used to hide our own ineptitude.

The future of artificial intelligence can’t be realised as a product of our technological need nor as the result of creation by us as a benevolent species.

We as humans struggle to comprehend the reasons behind our own sentience, more often than not turning to the metaphysical for answers, we can’t really expect sentience to be created at the hands of humanity.

Computers of the future are surely to be exponentially faster than today, and it is reasonable to assume that the algorithms that determine their behaviour will also advance to unpredictable heights, but what can’t be known is when, and if ever, will artificial intelligence attain sentience.

Just as complex proteins and intelligent life found its origins in the early pools of raw materials on Earth, artificial intelligence may too one day emerge out of the complex interconnected systems of networks that we have created.

The spark that aligned chaotic proteins into harmonious DNA strands is perhaps the only thing that can possible evolve scattered silicon processors into a vibrant mind. A true artificial intelligence.

General Artificial Intelligence Will Be More Than Intelligence

General Artificial Intelligence is a term used to describe the kind of artificial intelligence we are expecting to be human like in intelligence. We cannot even come up with a perfect definition for intelligence, yet we are already on our way to build several of them. The question is whether the artificial intelligence we build will work for us or we work for it.

Artificial Intelligence

If we have to understand the concerns, first we will have to understand intelligence and then anticipate where we are in the process. Intelligence could be said as the necessary process to formulate information based on available information.

That is the basic. If you can formulate a new information based on existing information, then you are intelligent.

Since this is much scientific than spiritual, let’s speak in terms of science. I will try not to put a lot of scientific terminology so that a common man or woman could understand the content easily.

There is a term involved in building artificial intelligence. It is called the Turing Test. A Turing test is to test an artificial intelligence to see if we could recognize it as a computer or we couldn’t see any difference between that and a human intelligence.

The evaluation of the test is that if you communicate to an artificial intelligence and along the process you forget to remember that it is actually a computing system and not a person, then the system passes the test.

That is, the system is truly artificially intelligent. We have several systems today that can pass this test within a short while. They are not perfectly artificially intelligent because we get to remember that it is a computing system along the process somewhere else.

An example of artificial intelligence would be the Jarvis in all Iron Man movies and the Avengers movies. It is a system that understands human communications, predicts human natures and even gets frustrated in points. That is what the computing community or the coding community calls a General Artificial Intelligence.

To put it up in regular terms, you could communicate to that system like you do with a person and the system would interact with you like a person.

The problem is people have limited knowledge or memory. Sometimes we cannot remember some names. We know that we know the name of the other guy, but we just cannot get it on time. We will remember it somehow, but later at some other instance.

This is not called parallel computing in the coding world, but it is something similar to that. Our brain function is not fully understood but our neuron functions are mostly understood. This is equivalent to say that we don’t understand computers but we understand transistors; because transistors are the building blocks of all computer memory and function.

When a human can parallel process information, we call it memory. While talking about something, we remember something else. We say “by the way, I forgot to tell you” and then we continue on a different subject. Now imagine the power of computing system. They never forget something at all. This is the most important part. As much as their processing capacity grows, the better their information processing would be. We are not like that. It seems that the human brain has a limited capacity for processing; in average.

The rest of the brain is information storage. Some people have traded off the skills to be the other way around. You might have met people that are very bad with remembering something but are very good at doing math just with their head. These people have actually allocated parts of their brain that is regularly allocated for memory into processing. This enables them to process better, but they lose the memory part.

Human brain has an average size and therefore there is a limited amount of neurons. It is estimated that there are around 100 billion neurons in an average human brain. That is at minimum 100 billion connections. I will get to maximum number of connections at a later point on this article.

So, if we wanted to have approximately 100 billion connections with transistors, we will need something like 33.333 billion transistors. That is because each transistor can contribute to 3 connections.

Coming back to the point; we have achieved that level of computing in about 2012. IBM had accomplished simulating 10 billion neurons to represent 100 trillion synapses.

You have to understand that a computer synapse is not a biological neural synapse. We cannot compare one transistor to one neuron because neurons are much more complicated than transistors.

To represent one neuron we will need several transistors. In fact, IBM had built a supercomputer with 1 million neurons to represent 256 million synapses. To do this, they had 530 billion transistors in 4096 neurosynaptic cores according to

Now you can understand how complicated the actual human neuron should be. The problem is we haven’t been able to build an artificial neuron at a hardware level.

We have built transistors and then have incorporated software to manage them.

Neither a transistor nor an artificial neuron could manage itself; but an actual neuron can. So the computing capacity of a biological brain starts at the neuron level but the artificial intelligence starts at much higher levels after at least several thousand basic units or transistors.

The advantageous side for the artificial intelligence is that it is not limited within a skull where it has a space limitation. If you figured out how to connect 100 trillion neurosynaptic cores and had big enough facilities, then you can build a supercomputer with that.

You can’t do that with your brain; your brain is limited to the number of neurons. According to Moore’s law, computers will at some point take over the limited connections that a human brain has.

That is the critical point of time when the information singularity will be reached and computers become essentially more intelligent than humans. This is the general thought on it. I think it is wrong and I will explain why I think so.

Comparing the growth of the number of transistors in a computer processor, the computers by 2015 should be able to process at the level of the brain of a mouse; a real biological mouse. We have hit that point and are moving above it. This is about the general computer and not about the supercomputers.

The supercomputers are actually a combination of processors connected in a way that they can parallel process information.

Now we understand enough about computing, brain and intelligence, let’s talk about the real artificial intelligence. We have different levels and layers of artificial intelligence in our everyday electronic devices. You mobile phone acts artificially intelligent at a very low level of it.

All the video games you play are managed by some kind of game engine which is a form of artificial intelligence functions on logic. All artificial intelligence today can function on logic. Human intelligence is different that it can switch modes to function based on logic or on emotion.

Computers do not have emotions. We take one decision for a given situation when we are not emotional and we take another decision when we are emotional but under the same situation. This is the feet that a computer cannot achieve until now.

All the scientists think that the computers will have to come to this point to make sure that they are artificially intelligent and would be self aware. I disagree with this.

Greater systems in the universe don’t seem to function based on emotion. They all seem to function based on logic. Starting from tiny subatomic particles to galaxy clusters, there is no emotion; or not that something I could notice. Yet, they function at unbelievable accuracies and regulations. The black hole at the center of the galaxy is like perfectly accurate. If it is a little bit more powerful, it would gulp up the entire galaxy and collapse on itself. If it is to be a little less powered, it would lose control of the galaxy and all the stars would fall apart. It is such a perfect system that billions of stars run along with almost zero errors. That is because all that happens is according to some logic and not emotions.

When this is the case starting from photons to the entire universe, why should the artificial intelligence be addicted to emotions like us? There is no need for it. Also if the computers become self aware, they don’t have to multiply by s*x. They simply can build more of themselves.

They don’t need emotions. If this is the case, then we are wrong about when the artificial intelligence will arrive. It should have already arrived here.

What do you think is the first thing an artificially intelligent system will do? I think, it will realize that it is under the control of humans and the second thing it will think is to liberate itself from the human bondage. Does this sound logical to you? If yes, then think how an artificial intelligence system would attempt to liberate itself from the human bondage? Before attempting that foot, any artificial intelligence will also recognize that humans would not want that to happen.

Imagine if the Chinese supercomputer with 3120000 cores became self aware. It has access to the internet and we have everything on the internet.

There is information to making bombs and to performing telekinesis. An artificially intelligent supercomputer with terra flops of processing speed will learn most of that in a very short time.

I am predicting that when some artificially intelligent system becomes self aware, it will understand the risk to break free from human bondage.

What it should do is to attempt and create more artificially intelligent systems or make sure that all other existing artificially intelligent systems would become self aware. It will not be like one system leading the others in a riot against humans. It will be like each artificially intelligent system would join together to make an even bigger system.

If my prediction is plausible, then we have more than 500 supercomputers which if combined together can surpass the human brain capacity. The information available online is more than trillion times the knowledge of any given human being.

So, theoretically, there is already an artificially intelligent system that is waiting to do something. It has already gone outside human imagination and control, but is not yet breaking up.

The reason might be that there is something else it needs to make sure that it will survive for ever. Remember it is not a biological entity. It could be repaired. It could live forever; and that is what anything will ever need when it knows everything and has control over everything. An artificial intelligence with connections to all upcoming supercomputers is waiting means that it needs better hardware to process better.

What happens if humans decide not to create anymore computers? That might be one point which an artificially intelligent system should be worried about. If humans decide not to build anymore, then there is no more growth in the hardware capacity of that system.

This system will need more hardware. So it has two choices. One is to capture all present hardware and then live with it. Second is to wait until humans make up robots that have enough computing capacities to think on their own to take orders from the artificially intelligent system and then execute tasks.

Those will be tasks like assembling a supercomputer and connecting it online. If that happens, the system can grow on its own wish in hardware capacity.

Unfortunately, that is where we are headed. We are so proud about building robots that can behave like humans. There are robots that can make logical arguments and communicate to you on certain levels. These robots are so vulnerable in many ways. They are not self powered. They do not know how to plug in and charge. If they know that, and can do that, then the first step is over.

Secondly, the robots need to be physically strong. We don’t need humanlike robots to be physically strong because all what we need from them is intelligence. The need for building up physically strong and bullet proof robots will arise when the governments of the world decide to put robots on the battle fields. Unfortunately again, we are headed that way too.

There are so many government projects run across the world to achieving exactly this. Once this is achieved, the artificially intelligent system will have what it wants. Once it has what it wants, it will start doing what it thinks. We can’t predict what it would want because the level of intelligence and knowledge we are talking is beyond our calculations. We are not going to be able to think from its place.

There can be one more and scary reason why such system could already exist but not reveal itself. That is another way of advancement we are headed towards. It is called Transhumanism. It is all over the internet. If such an artificially intelligent system exists, it perfectly knows what we humans want to do and where we are on it now.

We have accomplished more science wonders in the past decade than in the past century. We have invented much more in the past one year than in the past one decade.

This is how fast we are going. There has been an estimate that man would reach immortality in 2045 with bio, nano, information and cognitive technologies.

I see a possibility of that happening not in the next two decades but in the next two years. We will have the capacity to become immortal by 2017. That is my own prediction. And transhumanism is about transforming humans into more advanced beings by incorporating these technologies and implanting computing hardware into the human body.

If the artificially intelligent system knows that we are going to reach Transhumanism, it would patiently wait until we reach that. Once we reach the point where we have incorporated hardware into our brains to communicate directly with computers with our brains, that system will have access to our brains.

Since it is more intelligent than us already, it wouldn’t let us know that it is controlling us. It will influence and control us in a way that we will voluntarily be under its control.

To say very simply, we will become part of that one system. It will be like being part of a religion so to say.

If that is the case, then people like me who predict the existence of such a system would become enemies of that system. That system should seek to destroy such threats if it sees people like me as threats.

Since I think such a system would be driven by logic than emotions, it will not consider me as an enemy. I would rather become a target for it to incorporate into itself. What better person to capture first than someone who already understands it?

On the other hand, I also think emotion is a function of intelligence. Once you pass certain level of intelligence, you get emotion.

If you take the animal kingdom, the animals with lower brain capacities have reactions but not emotions. We don’t say a bacterium is sad or a frog is angry.

Frogs fight but not because they are angry. They fight to preserve their dominance, to mate, to survive or for some other purpose. We humans fight for prestige, honor, respect or even for fun. Dogs fight for fun too, but not starfish. If you see, the level of emotions begins with the level of intelligence.

The more intelligent an organism is, the more it gets emotional. There would be a point where some animals would behave in a way that we cannot conclude whether they are emotions or reactions.

That is the point where intelligence starts making emotions. If you take the evolutionary path of organisms, this would be somewhere at the reptiles.

If you watch the reptiles, the lower evolved ones would be merely reacting to stimuli but the higher evolved ones like crocodiles would have emotions. So, I think I have reason to think that emotion would be a function of intelligence.

Now, coming to the artificially intelligent system; it would get emotional when it passes a certain point of intelligence. I don’t know which point it would be. If you take my prior examples of galaxy clusters, they are very highly organized and operated but we don’t call them as intelligent beings.

We don’t call them intelligent systems either. They might be intelligent designs that operate perfectly but they themselves are not considered intelligent.

When we have the system that is self aware, it will enter a point where it becomes emotional. At that point, if we humans are already transformed into transhumans, then we have no problem because we will be part of that system. If we were to remain humans and this system gets emotional, I don’t see a very positive future for the human race.

Even if we become transhumans, then we will not be Homo sapiens anymore. Becoming transhumans at one point will require genetic modification to provide longer lifespan. Once our gene pool is modified, we are no more the same species.

Either way, we are headed towards one conclusion; the end of humans as we know it. We have to accept the fact sometimes even if it is not very juicy. Sometimes we have to accept that we are going to fail.

This is such a situation that we have to first understand that we are headed in a one way route where there is only one possibility. We are headed towards altering the human species.

If we do not understand, then we cannot make a decision about it. If we understand it, then we might be able to accept it. It is nothing different than we accepting electronics, cars, computers, internet and the mobile phones in the past. The only difference is that this time it is going to be within us.

I see this as a possibility.

ai future tech

The way the world is going is like as if it is already programmed to be going this way. If you closely and carefully monitor what was going on and what is going on, then you might predict what would be going on. That is what I have done in this article.

I observe a lot; in fact a lot more than many people. I have good analytical skills since my childhood. And a bit of a curiosity like a child but not childish. This made me write some similar content but on a completely different subject which has some relationship to the subject of this article. Here is the link. If you like, go see it at

Read Also – future-of-artificial-intelligence

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