Unravelling the mysteries of Artificial Intelligence

What does it mean for Deep Learning to recently beat Go champion Lee Sedol? Or what did it mean back in 1997 for Deep Blue to beat chess champion Garry Kasparov? Is the purpose of AI to only demonstrate that it can win against humans, or is it much more than winning? Such wins demonstrate the capabilities of AI, and open up new avenues for the tools and techniques used. In the case of Deep Blue developed by IBM, it was better search and evaluation algorithms, combined with a supercomputer to defeat a world champion. Similar AI algorithms were then applied to other applications including search engines. AI community continued its fascination of winning in games involving intelligence, with IBM Watson turning out to be a winner of quiz show Jeopardy. Watson even received the first place prize of $1 million. The AI techniques such as Natural Language Processing and Machine Learning that Watson used to win the competition are today driving the Watson Cloud Platform to understan...

Meanwhile the talk of AI being the number one risk of human extinction is going on, there are lot many ways it is helping humanity. Recent developments in Machine Learning are helping scientists to solve difficult problems ranging from climate change to finding the cure for cancer. It will be a daunting task for humans to understand enormous amount of data that is generated all over the world. Machine Learning is helping scientists to use algorithms that learn from data and find patterns. Below is a list of few of the problems AI is working on to help find solutions which otherwise would not have been possible: Cancer Diagnostics : Recently, scientists at University of California (UCLA) applied Deep Learning to extract features for achieving high accuracy in label-free cell classification. This technique will help in faster cancer diagnostics, and thus will save a lot of lives. Low Cost Renewable Energy : Artificial-intelligence is helping wind power forecasts of u...