What is Artificial Intelligence?
Artificial Intelligence is, well, Intelligence gone artificial. Until 1956 only humans possessed the right to have intelligence. In 1956 Late Mr. James McCarthy the father of AI crafted the term Artificial Intelligence: The Science and Engineering of making intelligent machines.
The definition of intelligence is “the ability to acquire knowledge and skills”, knowing what is better and doing them instead of doing the same wrong things repeatedly. So what can we expect from an intelligent machine, the ability to collect data, process the data, and adapt and change itself accordingly
Is it worth the hype?
With tech giants investing millions of dollars acquiring every aspect of technology, careers dedicated to them, Conversational AI solutions, important tasks given to the machines, the rise of IoT(Internet of Things), it is safe to say we have surpassed the time where we ponder over if this is just a fad or actually a thing of future.
There was a time when machines had taken over the functions of the human body and made it faster, it is now the time when programs are taking over functions of the human brain and making computing faster. Let us look at some popular AI we see in our day to day life.
Popular AI
With the computational abilities of today’s electronic devices, we have AI right in our phones and computers. Voice commands, text recognition, and recommendations by apps are some of the most popular forms of artificial technology that we see. Let us look at some popular artificial Intelligence Applications.
1. Self Driving Car
Also known as an autonomous vehicle, it is capable of sensing what is happening in its environment. Tesla is the most popular and successful company that has this amazing technology of the autonomous vehicle. Last year Tesla surpassed 3 billion miles on Autopilot. Wow!
2. Chat-bots
Used predominantly in banking and finance, a conversational AI solution is the only marketing device that works when you sleep.
3. Digital Assistants
Right from Siri to Google Assistant, digital assistants are tireless and versatile applications of AI. Right from calling to ordering food to setting an appointment they have got everything covered. These forms of technologies use natural language AI to neural networks AI framework to give what you want.
4. Recommendations
YouTube and Amazon recommend some amazing stuff using NLP and neural networks. It may seem creepy at first but it is just the tip of the iceberg of how much your smartphone knows about your habits.
5. Predictive Texts
Gmail and your keyboards have predictive text, prompting you the reply to the message received. Does it know better replies than you? Of course not. It analyses your reply pattern and answers accordingly, another example of a machine learning framework.
6. Maps and Directions
Calculating the shortest distance to work to calculate the amount of traffic, Google maps are another marvel of Artificial Intelligence
7. Search Engine Optimization
Predictive searches, location-based searches, ratings, and reviews are Google’s way of giving information handy to us through technology.
8. Alerts and Reminders
Forgot about your regular monthly checkup? Artificial Intelligence has got you covered.
9. Advertisements
Targeted advertisements are the most profitable when it comes to using Artificial Intelligence in day to day life.
But the most important question is how we can improve our personal and professional life using this technology. But first, let us look at some popular AI algorithms which will help us make better use of the technology.
AI Models/Algorithms
All the above applications work on algorithms. Basically, AI is designed to learn in the same way as children. This is called model-based learning, and it allows AI to make better decisions than humans because it can take many more factors into account and analyze them in milliseconds
Given Below are popular applications and their models/algorithms
| Sl No. | Applications | Algorithms |
| 1 | Predictive Text (Gmail) | KNN & NLP |
| 2 | Predictive Music (Spotify) | Random Forest, KNN, Logistic Regression |
| 3 | Predictive Videos (Netflix Youtube) | Neural Networks |
| 4 | Product Recommendations (Amazon, Flipkart) | Collaborative Filtering |
| 5 | Voice (Siri, Alexa) | Neural Networks |
| 6 | Lens (Pinterest, Google Lens) | CNN |
| 7 | Targetted Ads | Deep Learning |
| 8 | Fraud Detection | Deep Learning |
| 9 | Conversational AI | Multinomial Naïve Bayes |
| 10 | Maps and Traffic | Dijkstra |
Future of AI
The day is getting closer than we think as to when machines will start teaching themselves, do what people are best at doing, and beat them at their own game. Well, precisely by 2060 according to Muller and Bostrom.
A glimpse of which we saw when Facebook’s bots meant for negotiating with customers started communicating with each other in their own shorthand English language.
AI by far has succeeded in doing essentially everything that requires thinking (playing chess, doing math, etc) but has failed to do what most people and animals do without thinking (seeing, feeling, etc). The quote by Donald Knuth tells us what our future supercomputer will look like.
ANI to ASI ANI ie Artificial Narrow Intelligence, what we have achieved so far to ASI ie Artificial Super Intelligence what we plan to achieve has got an exponential curve which means we have only a few decades until computers have got brains enough capability as a human brain in every aspect of thinking and feeling.
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