The next time you ask Siri to set a reminder or Cortana to assist you with checking your mails, pause and think about this. Both Siri and Cortana are mere software systems created by human-beings like you and me. Yet, they can not only understand and assist you in your tasks, but also promptly change the flow of their conversations based on your commands! Over the years, we have successfully managed to create applications that can not only satisfy the user’s immediate demands, but also display innate emotional intelligence and the ability to independently adapt themselves to new situations and information.
We’ve already discussed the key differences between Artificial Intelligence, Machine Learning and Deep Learning. But can Artificial Intelligence by itself consist of further bifurcations? We’re back with a blog; and today, let’s have a look at the further classifications of AI:


Living in the present is definitely a positive attribute. But does that mean one forgets every event or action that occurred in the past? Well, reactive technology functions somewhat like that. Yes, these machines can adapt to the situations at hand and react accordingly. However, they do not have the ability to learn from previous experiences, let alone apply such knowledge to the present.
An interesting example of a reactive AI machine is Google’s AlphaGo. This game is the online version of the popular board-game Go, and it applies a neural network system to evaluate each player’s move. This game has managed to defeat Go experts by reacting to their moves with its ‘intellect’. But it cannot predict further moves of the player by his/her previous actions, or based on general inferences drawn from the various games played earlier. Another very popular instance of reactive machines is Deep Blue, the supercomputer by IBM that is an expert at chess.


And then there’s another category of AI machines – limited memory. As the name suggests, these machines do have memory, but it’s rather limited. They can base their actions on immediate previous learning, but cannot store learned information to utilize in future. For instance, self-driving vehicles have the ability to read sign-posts, traffic signals etc. and navigate accordingly. They can also convey their decisions to change lanes and follow traffic rules. However, these machines do not have a ‘long-term’ memory and function merely on the basis of their perceptions of very recent instances.


Undoubtedly, the human mind still reigns supreme over all advancements in science and technology. And rightly so, because the human brain is the ultimate source of all inventions and discoveries we so heavily rely on. But…what if we manage to produce technology that can recognize human emotions and predict behavior? While we still have a long way to go in terms of manufacturing such ‘sensitive’ machines, we are definitely on the way. The sentiment analyzer, for instance, is an important feature in chatbots and virtual assistants. With this feature, it is possible for these software systems to recognize the user’s emotional state by his/her tone of speech, and react accordingly. This stage in AI transcends the popular definitions of ‘machine’, thus bringing it (somewhat eerily) closer to human perceptions and behavior.


Think about it: What if technology begins to think for itself? Mary Shelley’s Frankenstein is an early description of the chaos that may take place if technology begins to dominate over its own creators. At this stage, technology dons the cloak of consciousness, realizing not only that another being is acting a certain way, but also analyzing the reason behind this behavior. It’s not only about what one does, but also the whys and the hows of the same. And yes, you guessed right. Mankind hasn’t been able to device such types of technology yet. But…never say never, right?


So that was all about the 4 major types of AI technology. While the last 2 types of Artificial Intelligence have not yet been actively initiated on a large scale, technology is rapidly advancing to meet the ever-rising (and never-ending!) human needs. AI technology is definitely taking the world to places – but as always, we know one thing for sure: a proper balance between the two types of intelligence is the sure fire way to go!


1. AI versus Human Intelligence: The Basic Differences
2. AI in Cybersecurity
3. AI in Education


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“The entire effort of artificial intelligence is essentially a fight against computers’ rigidity,” says Douglas Hofstadter.

“Hi, Alexa!” you say on a busy morning. And in the next few minutes, you are thanking the voice behind that device, which has performed some significant tasks for you.
You have an arm injury, but want to travel in the comfort of your vehicle. Your fully-automated car drops you to your workplace with zero efforts on your part.

Welcome to the magical world of AI! In this hastily transforming world of constant hustle-bustle, there’s no room for imperfection and time-lapse. While perfection is a utopian concept for humans, and cannot be expected of mere mortals, this and more is certainly being achieved by our very own Frankenstein’s monsters – Artificial Intelligence. Over the past few years, AI has taken unbelievable precedence over various walks of our lives; from education and industries to household and hospitality. While OK Google, Siri and Alexa compete to provide you best-quality services (and some ROFL moments too!), hotel industries are now making use of robots to take orders and deliver food.
But does the advent of AI threaten human intellect and agility in any way? Is the world becoming dangerously dependent on an external force? And have we worked so hard to build these artificial devices just so that we stop working?
We are back with a blog, to discuss the basic points of difference between our AI Frankenstein monsters and us:

1. “To err is human…” – in the truest sense

And that’s because AI cannot err. Of course, unless the human creating it may have committed an error. Artificial Intelligence is capable of performing even the most complex of tasks and algorithms with perfect ease and efficiency. Your AI does not recognize Monday Blues or Sunday offs. Or snoozing off at the traffic signal while driving.

2. “To be or not to be…” Ask AI!

Not only that, AI is also being used to predict future instances using the information available in the present. This feature of AI is being widely used in different domains; including data analytics, lead ranking and face recognition. These predictions often allow humans to take important decisions that can ensure a better future for the industry. Such predictions, if left to humans, may require them to invest a high amount of time and effort. But sometimes, it is also important to take those “emotional decisions” and make abstract considerations, which is clearly not AI’s forte.

3. Sorry. The creative juices don’t flow here.

OK Google might probably recite you a poignant poetry or two every once in a while, but that’s about it. It’s “inhuman” to expect human emotions and feelings out of AI. And that’s the reason one cannot instruct AI to come up with creative marketing strategies or out-of-the-box ideas.

4. All outcomes are created equal.

AI provides exactly the same treatment to every outcome of an activity, regardless of the number of times it has been instructed to carry it out. With humans, consistency (or the lack of it) can prove to be a major challenge, since not only two humans performing the same task, but even the same human carrying it out at different times, can produce remarkably different results.

5. Slow down, dear human….

The human-mind is an ocean, consisting of a huge reservoir of thoughts, emotions, feelings, sentiments…and all sorts of quirkiness, too. We are forever on our toes, trying to take leaps from one point to the other; and in the process, getting done a hoard of tasks all at once. But that’s not how AI works. Your AI tool cannot handle all your multitasking. The con – you have to be patient with it. The pro – the quality of work is never compromised for quantity.

6. Old is gold for AI

While you may be adventurous, outgoing and open to new experiences, AI is not easily adaptable to new changes, and takes quite some time to get accustomed to them.

7. Man is a social animal, but AI is not.

Humans have been surviving and thriving in a highly interactive, collaborative and communicative civilization. Unfortunately, AI is very new to this world, as still finds it a struggle to adapt to new and challenging social scenarios. For AI, the programmed information serves as the ultimate truth, and thinking beyond these boundaries of human programming is not its cup of tea.

At the end of the day, more than comparing human-intelligence with AI, it is important to realize that while AI consists simply of high IQ, human intelligence is a smart blend of IQ as well as EQ. So your AI can do wonders when it comes to rule-based tasks that do not require abstract thinking, but cannot handle tears and heartbeats. Hey, that’s probably why AI is also being used to do some risky tasks that humans cannot perform due to emotional and mental vulnerability. Food for thought!

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