Next month, Google is slated to announce its new Pixel 2 and Pixel 2 XL, among other items of interest. Not surprisingly, the company has received a lot of harsh criticism over the products it has been working on. While the company might not be focusing its efforts on improving those devices from an aesthetic point of view, machine learning and AI are different categories where the giant has been heavily vested in.
According to a 2016 custom term paper tally, Google reportedly submitted 218 published journal pieces to MIT Technology Review. If you compare this number to a figure around two years ago, the papers submitted were half the previous value. That shows extensive evidence towards its commitment to machine learning and AI.
A very simple example of Google’s efforts is the Google Assistant voice-enabled virtual program. It was initially exclusively available for the Pixel and Pixel XL smartphones released last year. Using machine learning and artificial intelligence, the program would rapidly learn the user’s habits and interests and provide them with similar results based on their location.
With Google possessing the world’s largest search engine as well as the most popular web browser on the planet, it was not difficult accumulating all the user data and information and allowing machine learning to do the rest. This effort can also be seen in Google Home. There are still some useful features to be added to enhance the overall experience for their users.
Part of how Google has managed to excel in machine learning so rapidly is thanks to the acquisition of DeepMind. The tech giant paid $400 million for this British AI company back in 2014. Google has a habit of purchasing several start-ups and well-established companies for specific purposes.
So what are the results generated after years of research papers introduced, year after year, term after term? Well, one example of machine learning is being able to detect cancer and Alzheimer’s Disease and while this certainly might not have been done by Google, the company’s countless research efforts have provided encouragement to other institutes and firms to focus on the next disruptive element in technology.
For Google, it’s key areas will not just be proliferating its Android operating system which currently holds a bigger market share than Windows, but by making it smarter. The Pixel 2 and Pixel 2 XL smartphone lineup being announced in October might not feature an attractive design like the iPhone X’s or Galaxy Note 8’s, but by introducing new and improved features via Google Assistant, it will certainly help users gravitate towards upgrading to these new handsets.
Google does not seem to be running out of liquid assets anytime soon. Analysts expect Google to continue acquiring companies focused on machine learning and AI.