Computation should hold a special place in everyone’s heart. Our world is becoming increasingly computerised. Right from the moment Charles Babbage substantiated the ideas of computation until the present computer-dominated days, we have always needed to overcome certain complex computational challenges and mediated solutions to myriads of problems crying for computational solutions. People who have taken courses on, or related to, computer science tell us how overwhelming the recesses of computational studies can be. A great number felt nervous at their first introduction to the field or domain. Nevertheless, each step of the ‘study-way’ became more and more exciting as the days went by – until they got to the place of no return – the place of unquenchable quest for more knowledge and dexterity at computing. To a beginner, it is always a marvel to experience, first hand, how a simple set of instructions could make a computer produce desired outputs. Even the average individual who hasn’t gone to take any courses related to computing is inundated with the computing solutions all around us: the mobile devices, medical gadgets, household electronics (like the amazon echo!), computerised cars, etc. just name some of them.
Computerised systems have eased life, enhanced comfort and productivity, saved lives and proffered solutions to real life problems. Computerised systems has transformed how we connect with others and perform online transactions, for example. Artificial intelligence (AI) and machine learning, which are sub-domains of computer science, are taking an exciting new shape. Machine learning is an aspect of computer science that confers computers with the capacity or ability to learn without being explicitly programmed. It was an extensive work on pattern recognition and computational learning theory in AI that gave rise to this important field of computer science. Machine learning is a step away from the regular programming which we have become very much familiar with nowadays.
Sofia, the robot that was granted Saudi Arabian citizenship a few months ago, is a product of AI and machine learning technology. A recent live TV interaction with Sofia, displayed that the machine is still learning, as it was not able to decipher some questions asked of it accurately. At a point, the machine itself acknowledged the obvious – it is still learning. Innovations like this one will definitely change our computational horizon in the coming years and decades.
Exciting days are ahead. More innovations are coming that we can’t even imagine today. You can decide to be a part of this amazing future. It is time to give yourself or your career a leap forward. Click here to learn more about Andrew Charlton and his work.