In this post, we are going to talk about mathematical optimization. This term is not to be confused with the word ‘optimization’ that we use in our everyday lives, for instance, improving the efficiency of a workflow. This kind of optimization means to find an optimal solution from a set of possible candidate solutions. An optimization problem is generally given in the following way: one, there is a set of variables we can play with, and two, there is an objective function that we wish to minimize or maximize.

Let’s build a better understanding of this concept through an example. For instance, let’s imagine that we have to cook a meal for our friends from a given set of ingredients. The question is, how much salt, vegetables, and meat goes into the pan. These are the variables that we can adjust, and the goal is to choose the optimal amount of these ingredients to maximize the tastiness of the meal. Tastiness will be our objective function, and for a moment, we shall pretend that tastiness is an objective measure of a meal.

## Artificial Intelligence: Fear & Fearmongering

Lately, there has been a constant fear lurking around the AI landscape, which has raised several debates around the technology. A lot fear that AI may soon exceed human intelligence which has further given rise to a lot of fearmongers, who are rather misleading the society towards artificial intelligence.

Until last few weeks, I never anticipated to be writing this article, but now I hope to make sincere efforts in busting the fearmongers by describing information which is far undercooked from what mainstream media might, unfortunately, be suggesting.

Artificial Intelligence has jumped from sci-fi movie plots into mainstream news headlines in just a few years of time. Why are we talking about it now? Multiple factors have converged to push AI to relevance.

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