Arun Kumar M

“Assume Nothing. Question Everything.” That’s the central idea of Freakonomics — a book that turns economics into a tool for decoding real life, one bizarre but fascinating question at a time. From linking crime drop in the US to abortion laws (not gun control or policing) to decoding why drug dealers live with their moms, authors Steven Levitt and Stephen Dubner show us that incentives and information rule the world. Think falling crime was due to more cops or harsher laws? Think again.

India’s ageing population is growing rapidly — and with it, the urgent need for a shift in how we care for our elders. According to the Longitudinal Ageing Study of India (LASI, 2021), millions of older adults are grappling with chronic illnesses, mental health challenges, financial insecurity, and social isolation. Yet, ageing is not “merely a crisis; it is an opportunity”.

Arun Kumar M · Follow 2 min read · -- In today’s world, terms like AI (Artificial Intelligence), ML (Machine Learning), and DL (Deep Learning) are everywhere — on the news, in job descriptions, and even in our conversations. But what do these terms actually mean, and how are they different from one another? Let’s simplify these concepts with some relatable, real-life examples. 1. Artificial Intelligence (AI): The Big Picture AI is the broadest term.