How AI came to rule our lives over last decade
What is AI?
Artificial intelligence is the study of systems that act in a way that to any Observer would appear to be intelligent. Although Artificial Intelligence is one of the newest fields of intellectual research, its foundations began thousands of years ago. In studying Artificial Intelligence, it is useful to have an understanding of the background of a number of other subjects, primarily philosophy, linguistics, psychology, and biology.
AI is currently utilized for everything from helping us in medical care, Art, Surveillance, education, Virtual assistants etc. How did AI come to involve such a large number of various pieces of our lives over the most recent decade? The answer lies in technological advancements in the field, joined with less expensive, easier access to more powerful computers.
When Facebook started in 2004, it concentrated on connecting people. Nowadays, it’s focused on doing as such with artificial intelligence. It’s become so central to the company’s products that a year ago, Facebook’s chief AI scientist, Yann LeCun, told an interview that without deep learning the social network would be “dust.”
After years of investment, deep learning now supports everything from the posts and ads you see on the site to the ways your friends can be automatically tagged in photos. It’s still got a long way to go. And Facebook isn’t the only one, it’s simply the biggest. Instagram, Twitter, and other social networks rely heavily on AI, too.
The primary aim of health-related AI applications is to diagnose and deal with a wide range of health issues, this work is still in the research or early development stages, there are startups such as Mind strong Health, which uses an application to measure moods in patients who are dealing with mental health issues.
Whenever you talk to Amazon’s Alexa, Apple’s Siri, or Google’s Assistant, you’re having a very close interaction with AI. This is most notable in the ways these assistants understand what you’re saying and (ideally) respond with what you want.
The rise of these virtual assistants began in 2011, when Apple released Siri on the iPhone. Google followed with Google Now in 2012 (a newer version, Google Assistant, came out in 2016).
Nowadays, artificial intelligence is all over smartphones, from facial-recognition software for unlocking the handset to popular applications like Google Maps. Increasingly, companies like Apple and Google are trying to run AI directly on handsets (with chips specifically meant to help with AI-driven capabilities), so activities like speech recognition be able to performed on the phone rather than on a remote computer, the kind of thing that can make it even faster to do things like translate words from one language to another and preserve data privacy.
One illusorily simple sounding example of this popped up in October, when Google introduced a transcription app called Recorder. It can record and transcribe, in real time. It knows what you’re saying and identifies various sounds like music and applause; the recordings can later be searched by individual words. The app can run entirely on Google Pixel smartphones. Google said this was difficult to accomplish because it requires several pieces of AI that must work without killing the phone’s battery life or taking up too much of its main processor. If customers take a shine to the app, it could lead to yet more AI being squeezed onto our smartphones.