{"id":872,"date":"2024-02-17T12:03:21","date_gmt":"2024-02-17T12:03:21","guid":{"rendered":"https:\/\/qsconsultants.in\/blog\/?p=872"},"modified":"2024-02-17T12:03:22","modified_gmt":"2024-02-17T12:03:22","slug":"algorithms","status":"publish","type":"post","link":"https:\/\/qsconsultants.in\/blog\/algorithms\/","title":{"rendered":"Algorithms"},"content":{"rendered":"\n

Namaste, Welcome to SAM-VAD (Together In Conversation), where we try to draw your attention to things that matter and the importance of our attention, why is that? Because \u2018let us remember this again, \u2018What we give our Attention to matters.\u2019<\/strong><\/p>\n\n\n\n

Our life\u2019s experience would ultimately amount to whatever we had paid attention to. Attention: is important and most of the times we are indifferent to it. It is as fundamental as food; and we go blundering about, seeking ways to assuage the craving, instead of learning how to provide ourselves with what we need, sensibly and calmly. Once our attention is drawn to the mechanism of why and what we give attention to, it is as if a veil has been stripped off and we become freer in our action and choices. And that is our endavour.<\/em><\/p>\n\n\n\n

This week again I bring to your attention an excerpt which we have titled \u2013 Algorithms <\/em>from the book titled \u2018Hello World<\/em><\/strong>\u2019 \u2013 Being Human in the Age of Algorithms <\/em>by Hannah Fry.<\/p>\n\n\n\n

Hello World is indispensable preparation for the moral quandaries of a world run by code.<\/p>\n\n\n\n

When it comes to artificial intelligence, we either hear of a paradise on earth or of our imminent extinction. It’s time we stand face-to-digital-face with the true powers and limitations of the algorithms that already automate important decisions in healthcare, transportation, crime, and commerce.<\/p>\n\n\n\n

Rule-based algorithms & Machine-learning algorithms<\/em><\/em><\/p>\n\n\n\n

Both types have their pros and cons.<\/p>\n\n\n\n

Because rule-based algorithms have instructions written by humans, they’re easy to comprehend.<\/p>\n\n\n\n

In theory, anyone can open them up and follow the logic of what’s happening inside! But their blessing is also their curse. Rule-based algorithms will only work for the problems for which humans know how to write instructions.<\/p>\n\n\n\n

Machine-learning algorithms, by contrast, have recently proved to be remarkably good at tackling problems where writing a list of instructions won’t work. They can recognize objects in pictures, understand words as we speak them and translate from one language to another – something rule-based algorithms have always struggled with. The downside is that if you let a machine figure out the solution for itself, the route it takes to get there often won’t make a lot of sense to a human observer. The insides can be a mystery, even to the smartest of living programmers.<\/p>\n\n\n\n

Excerpt from \u2018Hello World\u2019 by Hannah Fry<\/em><\/strong><\/p>\n\n\n\n

I am sure that you will enjoy reading this book; you can buy your copy from the following link:<\/p>\n\n\n\n

\n
Hello World: Being Human in the Age of Algorithms<\/a><\/blockquote>