Quantification and Complexity

Its human nature to analyse things going on around us . All of us have the gifted ability to analyse, but only a few
are able to quantify. In other words, when we look at something, we automatically start estimating it. Infact we usually want the exact number. For instance, the population of a country or quantity of groceries or the no. of lectures or the no. of working hours in a day and so on. The no. s are important because they let us plan the future. Besides it keeps the mind satisfied.

So when we are able to provide such description , we feel contented. But there are situations when we are not able to give an exact number. In those cases a good approximation is needed. And for that we need experience and little bit of insight into the working of the situation , which provides a standing ground for good approximation. In other words , estimation can be associated to pattern matching also. We can apply known to unknown to get to where we want to go from where we are !

That's where algorithms and complexity come into picture. This area provides methods to do good approximations in uncertain environments.  With these methods , we can arrive at a ball park figure, if not more.
But sometimes that itself is a lot, especially in really complex situations, where we can not predict how the circumstances may react. In other words, we are always trying to model a machine or anything as accurate.
We want to get as close to the machine's answer as possible. So this process may take us closer to the working of a machine and other aspects of machine learning.

Finally, i guess its all about building better/faster and OPTIMIZED algorithms that lead us to good approximations.

Wifi for all !

Millions of people in india have still not used wikipedia or twitter or facebook or even google for that matter. And still these sites complain of an overload , some even say their total registered users has overtaken populations of a  few countries. I know it's difficult to digest but what will happen when more than half of india's population hits the "Internet", traffic will multiply manifolds leading to severe bandwith choking which , in turn might cause all popular social networks to crash with rail , airline , bus reservation systems in the pipeline.

 

Enough of bad news , now the real good news . The above mentioned effects can be turned into business oppurtunities provided we invest in hardware, networks , workstations , towers and so on. Each of the market leaders in these segments can have the cake and eat it too ! wishful thinking

When it comes to routers both wired and wireless , i have  a proposal : In india , lot of people now have DTH subscriptions, that is they have Dish antennas. Therefore ISP cum Cable TV providers like Airtel and Reliance can bundle broadband connections with TV subscriptions. As people would not have to buy new hardware. The only problem would be that of monthly subscriptions. Again as DTH pricing war has begun , i dont see why more providers would n't want to join the bandwagon.

Next is the population without DTH or people in villages and small towns where community resource sharing is common , here we can install WiMax equipment over normal telephone or power towers. So people in a certain radius can be covered. 

So welcome to the new Telecom revolution , where everyone is a winner. Who knows the next best social networks might come from the remotest towns ! What we need is little imagination and lot of initiative from the bigwigs of the Telecom industry.As of now fingers ! 

First Things First

I am back to blogging basics. Feels really good. Have a better understanding of blogging world and internet as a whole. What i realized is most people visit the web for information that is relavant to them whether its work or fun related. It boils down to need-based data. No matter how much time we spend on social networks, we always ask google to quench our thirst for information.

And i have understood that blogs are "first hand experiences" that pop up when we request for such information. They assume prime importance as people want to know how people had reacted when they were in a similar predicament. And that is why in most of the cases , people prefer reading human experiences rather than huge information repositories maintained by even bigger machines.

So it basically boils down to the satisfaction one derives from reading material published by man as it gives the reader an "At Home" feeling that no machine in the world can give.

Having said that,its time to take off.