So, there are many, many applications for which we would really like to compress the data. The first one, obviously, is to increases the capacity of the system. There is an ever growing need for data as more and more people are subscribing to the wired and wireless broadband services to access data. This is a picture of per capita subscriptions world wide in year 2012. There are a lot more people with mobile phones than with a tooth brush. And still, there are many many areas. On this map that are grey or pale blue in this picture that is addressable market for this technology. They would all want to talk to each other once they get the phone. So, we need an efficient way to transport all that voice traffic or data traffic. The second big reason why we would want, is we really want an efficient representation of data so that we can store a lot of data for playback later. With ever increasing content, voice content, music, video, text on the internet. There are many many more applications than just iPod, or kindle, or Netflix and YouTube. For example, The World Digital Library is an international digital library operated by UNESCO, and the US Library of Congress. It aims to expand non-English, and non-western content on the Internet, and contribute to scholarly research As of 2015, at least more than 12,000 items from nearly 200 countries, dating back to 8000 BC. So, you can see that, if we have very efficient representation of content, it lets us search for that, playback later, all kinds of different applications. And then there is a third class of applications that comes to mind. If we have a compact representation, we can use this for mission learning and mission intelligence. This is exactly how Siri works. Some of the voice recognition technologies share the feature extraction components that resource completion techniques. This is how we can build analytics by analyzing lots and lots of data. This is how you can actually make your cars trained to drive autonomously to look at the traffic lights or pay attention to the surrounding noisy environments, so we do want machines to learn. And then do routine things that makes us attend to more important things. So, those are some of the cool applications that you would need to compress the data.