Youngsters today will have you believe that there would cease to exist a world as we have for decades known, in the near future to be replaced with nothing but extraordinary major and minor conveniences; not to offend any parents here, but their farsighted children would be absolutely correct. We find ourselves invariably shifted into a timeline where it would do us better to stop associating convenience with lousiness and appreciate technology for how far it has got us. As our reality is headed for an inevitable AI amalgamation, it wouldn’t be all to irrational after all to assume the hypothesis that we might owe some credit for planting the initial seeds regarding the potential advent of technology to the great philosopher Descartes himself, in light of the assumption that all inventions are brought into being through the great wonderings that arise in a human mind from time to time. If that must be so, well, then we would definitely owe Descartes due credit for the introduction of technological engineering since it was him who put forth the notion by questioning the possibility of it being made such through a complex organization of pulleys, tubes, wires and gears that a thought similar to the one that occurs in the mind of a human be emulated through these systems? But the first presentation of such a complex system of levers and pulleys that could emulate the transmission of voice from one place to another came into being almost 2 centuries too late, when a genius by the name of Alexander Graham Bell finally managed to pose an answer to Descartes’s question in a tangible form, for everyone to see. Fast forward to the 21st century where Machine Learning is now all set to make the corporate responsibilities of humans easier to manage as well as reduce effort plus save time in terms of manhours. It would seem that there is not much left for the human worker to do rather than provide a set of instructions to a machine that would then organize and sort information on its own before acting upon it. That future sure seems rather promising and something we all must look forward to with due anticipation. Technology is a man-made thing and therefore here to do anything but replace humans or steal their jobs. Technology is in fact here so that the process could be facilitated for the human worker and their task be made simpler than it otherwise ought to be. The machine learning part is already all around us in the form of algorithms. Algorithms that read, interpret, learn and understand. Not only that but they maintain themselves in understanding individual buying patterns, pique interest topics as well as most clicks and least clicks which are then utilized as the basis to dictate and ultimately determine the most suitable target audience of various marketed products and businesses. The machine being the social network platform picks up on consumer behaviors individually and then lands similar products in their home or news feed i.e., artificial intelligence. But the example used above has to be the simplest, most basic type of AI and machine learning technology that there is, compared to what it is anticipated to grow into in the near future. The corporate world is realizing the potential that AI and machine learning hold and picking up on future patterns for potential technological growth. AI sure has taken the world by storm even if looked at separately from the split in time when this idea was presented initially and the ridiculously ironic reactions of the un-fathoming general audience in terms of coming up with global conspiracy theories such as a complete takeover of machines and humans being rendered all but absolutely helpless and isolated in the up-and-coming world that was supposed to be powered by some mega technological and possibly evolutionary models. This specific technological evolution sounded like a threat to many people because they inadvertently assumed that the proposed model would fail and this fall would bring about an unforeseen calamity involving robots and machines spiraling out of control, thus overthrowing and taking control of the human race. One thing the machines are sure not to do is to take over the world, well, not literally. And not by force or through violence in any way whatsoever. Since, however advanced technology may have become or however developed AI might one day become, one thing machines would cease to have and/or experience in a similar manner happen to be for one, the very intensity of human emotions, topped off by our various moods that possess the ability to swing from one end of the spectrum to the absolute other in a mere matter of seconds, at the countenance of the minutest of stimuli. AI has come to be used as a euphemism for any sort of technological or computing based advancement in contemporary times. Which can only be one way to sum up why the term AI or technological advancement stirs fear-based emotions in the often-naïve human mind. Machine learning is all but another word for AI. While the two may not be exactly different from one another, they complement each other in a way that cannot be overlooked or isolated from the other in any way, since that would be more like examining one branch of a tree while being dismissive of the immediately conjoining other for no valid reason other than to not spend much time on it. It is simply irrational, useless and ultimately an effort wasted altogether just as it barely began to scratch the surface of the intended discovery. Machine learning, though not embodying AI itself, is a major component that contributes to the development of AI in a form that the contribution of machine learning to the advancement of AI could neither be rebuked nor discredited. The mechanisms and workings of AI, though inspired by the mechanics of human neural pathways, still have a long way up the hill before they can reach the heights of the absolute complexity that forms human emotion. However, that has not prevented artificial intelligence from being intelligent so far, or beating most humans at it either.