The vast number of choices on Google's Play Store and Apple's App Store makes finding the right software a challenge for Android and iOS users, and developers. Google has developed a neural network to improve the relevance of app search results on Google Play by predicting topics on the basis of each app's name and description. With well over two million apps each on Google's Play Store and Apple's App Store, app discovery remains a challenge for Android and iOS users, as well as for developers. According to Google, about half of the search queries on the Play Store are general topic searches such as'horror games' or'selfie apps'. However, for various reasons search has been hindered on each store.
Artificial intelligence is a phenomenon that the world of science and technology has been working on for many years. This phenomenon, which aims to make machines, computers or robots behave just like humans, is actually a technology not far from us. It is possible to see various examples of artificial intelligence around us. The closest example is Siri, the developer of Apple's Google algorithms. Samples can go on and on in this way.
Machine learning is enabling computers to tackle tasks that have, until now, only been carried out by people. The next wave of IT innovation will be powered by artificial intelligence and machine learning. We look at the ways companies can take advantage of it and how to get started. From driving cars to translating speech, machine learning is driving an explosion in the capabilities of artificial intelligence -- helping software make sense of the messy and unpredictable real world. But what exactly is machine learning and what is making the current boom in machine learning possible? At a very high level, machine learning is the process of teaching a computer system how to make accurate predictions when fed data.