Artificial intelligence (AI) is the future of technology and humanity. With deep learning (DL) and machine learning (ML) by its side, it redefines how we code, work, think, perform, and even how we live. <\/p>\n\n\n\n
\u2018Software is eating the world, but AI is going to eat Software<\/em>\u2019 \u2013 Jensen Huang, CEO of NVIDIA<\/strong><\/p>\n\n\n\n It was hard to take these words seriously just two decades back, but if we look around at our world now and how its future is shaping up \u2013 yes, AI is the next big thing. But before we get there and ask why and how, let\u2019s go back to how it all started.<\/p>\n\n\n\n The 1950s were, in a way, the birth year of artificial intelligence (AI). First, Issac Asimov\u2019s sci-fi story and Alan Turing\u2019s \u2018Turing test\u2019 in his paper. From there on, humanity, scientists, mathematicians, and philosophers started warming up to the very concept of AI. They found some plausibility because a machine well-trained on data- can solve problems and decide, just like humans. Then came along a program from Allen Newell, Cliff Shaw, and Herbert Simon and RAND (Research and Development) Corporation, \u2018The Logic Theorist\u2019, which could mimic the problem-solving abilities of humans. The\u00a0Dartmouth Summer Research Project on Artificial Intelligence<\/a>\u00a0(DSRPAI) became pivotal in this direction. AI kept taking such baby steps from 1957 to 1974 as machine learning algorithms evolved, and efforts like Newell and Simon\u2019s General Problem Solver and Joseph Weizenbaum\u2019s ELIZA went ahead in problem-solving and interpreting spoken language. AI also saw its rough phases \u2013 in the first winter of AI from 1974 to 1980 and the second winter of AI from 1987 to 1993.<\/p>\n\n\n\nEvolution of artificial intelligence (AI)<\/strong><\/strong><\/h2>\n\n\n\n