What does it mean to be smart?
I am not robot

What does it mean to be smart?

Share with your friends

By :Sahima Srivastava

 sahima srivastava
Sahima Srivastava

What does it mean to be smart?

Anything capable of making decisions based on stuff going on around it is said to be smart. Human beings are smart. For example, I touch a hot cup of coffee, I think ‘hot’, I release the cup. I see a ball coming straight at me, I think ‘hurt’, I dodge the ball. I see a shark-fin in the water, I think ‘death’, I swim like crazy. All my actions have a reasoning behind them. All decisions I make are based on logic.

Shark Fin
Shark finning is the act of removing fins from sharks and discarding the rest of the shark back into the ocean. Click Here

I perceive what’s going on around me, process all of the information I am gaining by it and make deductions or decisions. I am smart. ALL human beings are smart.
Smart here doesn’t mean buying a 3-for-the-price-of-1 T-shirts from Cantabil over a single one from Zara. Smart here means the ability to comprehend the need to buy T-shirts.

Sale On Slightly Irregular Designer Shirts
Sale On Slightly Irregular Designer Shirts

Click here for image link

Similarly, a machine is smart if it can perceive its immediate environment and perform actions based on it. An AC, for instance, that can automatically increase or decrease its temperature based on the ambient room temperature would be called smart. A refrigerator that’s able to regulate the temperature and humidity based on the freshness of the food items stored is smart. A car that is able to self-drive navigate through traffic and what not is smart. A light bulb that’s automatically able to modify its intensity according to the time of the day is smart.

All smart machines are said to possess what’s called Artificial Intelligence. Technically speaking, artificial intelligence is that, using which machines can think like humans. Or artificial intelligence allows machines to mimic human intelligence.

The key word here being mimic. Remember how they always ask in captchas to ‘choose all images with a bus in them’ and then make you check a ‘I am not a robot’? Well, now you know why. They don’t want any bots entering their websites or viewing their content.

I am not a robot
I am not a robot

Click here for image link

But, machines aren’t like humans. (Not even close).They aren’t inherently born smart. No. Making machines smart is the job of the programmer. Speaking in broad terms, the programmer trains the machine over some data. This data includes perceptions from the environment and the outcomes. The machine then tries for all possible permutations and combinations, sort of like guessing the coefficients a & b in ax + by + c = 0, that help it in drawing a parallel between an observation and its outcome. Once that’s done, the programmer tests this newfound intelligence of the machine on a test data, thus figuring out exactly how much of the human intelligence has the machine gained, or how accurately is the machine able to correctly identify cats from other animals. 

Computer five senses
Computer five senses
five senses
five senses

Click here for image link

There are 5 senses of human beings: sight, sound, touch, taste, and smell. With so much of research and innovation and so many companies investing in R&D, artificial intelligence is successfully able to span all these 5 senses. Its safe to say that the person at the other end of your chat room might very well not be a person at all. Thus, you ought to be ‘smart’ about who you talk to 😉

Refrences:

Computer five senses- 

data:image/png;base64,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

Shark fin – data:image/jpeg;base64,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

Share with your friends