How AI (artificial intelligence) will attract Android users
Android is another platform that Google has focused on and its efforts are clearly visible: Android occupies more than 87.9% of the market share. With the latest Android P just around the corner, it seems like a good time to take advantage of the best of both worlds: machine learning and Android, and show why Android is more likely to defeat its competitors using Android’s mammoth intelligence prowess. Google and why AI will do it. appeal to everyday users as well as developers.
Here are some reasons why.
google assistant
Google announced its virtual assistant in May 2016 during its annual conference, Google I/O. Google described it as a “conversational assistant” and hoped it would provide “an ambient experience that extends across devices.” And the feedback received has been mostly positive.
Of course, Google isn’t the only one trying to help its users with software. In fact, it’s not even the first: Apple released a beta version of Siri with its iPhone 4S almost a decade ago, in October 2011. To say that software like Siri has come a long way in these 7 years would be an outrage. attenuation. It seems that all the tech giants release their own wizards every two weeks. While the standouts are Microsoft’s Cortana, Amazon’s Alexa, Samsung’s Bixby, Google Assistant, and Apple’s Siri, nearly every review from professional testers reveals the one that manages to spin just about anything thrown at it. And that’s the Google Assistant.
It has proven its worth countless times in tasks ranging from speech recognition and contextual understanding to providing concise yet detailed information to any user query.
Some would say it’s years ahead of other virtual assistants, though trailers like Duplex only confirm that.
AI-powered applications
Tech giants are recognizing the importance of incorporating machine learning into their products, and as our systems become more powerful and people generate more data than ever before, it’s no wonder why they do so. This is evident in companies that embrace and promote smart computing.
Apple has been urging developers to use its relatively new CoreML framework that can be used to train machine learning models to develop iOS apps. It’s too early to pass judgment on this move by Apple, but it’s pretty safe to say that the berry iPhone maker is late to the party.
Google released an open source framework called Tensorflow in 2015 after it was tested and developed in-house for over 4 years. Since then, it has earned the industry standard badge and is one of the most active repositories on GitHub. It was developed with developers in mind and has multiple ports for different operating systems and also supports multiple programming languages to make a developer feel at home.
Tensorflow Lite is Google’s goal to have native support for its deep learning models on Android phones. Apps like Gmail are already putting this to use by introducing something called “Smart Replies” which basically just tries to understand the situation and context in a received email and will display some options that might be a good response to that. Another famous app is Google Photos which uses deep learning, a popular form of machine learning, to recognize people from images stored on the smartphone and suggest possible options, such as sharing them with the person or creating an entirely new album. for them.
To summarize, Google has already started to release apps like Translate, Assistant, Photos, Gmail, etc. and has created the necessary tools for developers to do the same with their own. Which brings us to the next topic:
Excellent developer support
Google has always been a loved one by developers. In addition to offering great opportunities like GSOC, it has released open source libraries like scikit-learn and TensorFlow that have been very popular and successful within the developer community.
Even Android, being open source, offers a lot of flexibility for developers and so naturally developers will be much more focused on building scalable and optimized applications for this platform.
Google wants more and more people to enter this field of the machine and has made efforts to do so. One such case is their Machine Learning Crash Course. It is a ground-up course aimed at developers with almost no previous experience in the field of AI. It guides the user from basic linear algebra concepts to state-of-the-art convolutional neural networks.
Android developers drew attention with the announcement of Tensorflow Lite, which is an ecosystem for the platform. It works seamlessly with the official Android IDE, Android Studio to develop apps with the same level of consistency as before.
google duplex
Google didn’t fail to wow visitors and viewers of its 2018 developer conference with sheer amazement. He showed off something Google developers had been hard at work on, called Google Duplex.
It’s an extension of the already powerful Google Assistant that helps the user get through the day by making appointments or booking services like ordering food at a store that doesn’t have an online presence or arranging a haircut at a salon to use.
It was introduced by Sundar Pichai, leaving the audience applauding. And why wouldn’t they? They witnessed a thousand-year-old test called the Turing Test that was supposed to be nearly a decade away from being solved, albeit annihilated in a very specific way.