“Once you trust a self-driving car with your Life, you pretty much will trust Artificial Intelligence with anything.”
Computer systems today have invaded every sphere of our life and modernized the way we operate things.
Implementation of the Internet of Things has mitigated many problems to a large extent. It looks like by 2020, there will be 26 billion connected devices (With/out Internet) according to Gartner and an immediate need to Hire Dedicated Android Developer.
We are now habituated to our phones to understand our voice commands and execute them accordingly. Artificial Intelligence (AI) based apps act as a mediator between the customer and the service provision, sometimes even without human interaction.
“Success in creating AI would be the biggest event in human history,” “Unfortunately, it might also be the last, unless we learn how to avoid the risks. In the near term, world militaries are considering autonomous-weapon systems that can choose and eliminate targets.”
-Stephen Hawkings in an op-ed, The Independent in 2014.
Because of the AI evolution, Android developers are able to provide a highly contextual and personalized experience.
The technology-based apps show a human-level intelligence by applying the concepts of machine learning.
The implementation which once looked like a dream has now become a reality and almost indispensable to the business app success.
Moreover, Google also shifted its priorities to “AI first” instead of “mobile first”. Google’s photodetection and smart suggestions are underneath of AI applications.
Do the applications built with AI have thinking equivalent to the human one?
As rightly said, “People don’t fail, processes do…. Is the fallback of the technology world. A human mind can think abstractly and AI applications can implement a certain level of abstract thinking.
They assist human beings in the task and deliver an accurate result in the end. An AI-based application might fail in understanding various emotional challenges.
Additionally, this technology is reaching every industry vertical and it would be shocking to know that it is existent since the ’70s.
Why the need of AI for Android Devices?
With the introduction of a combined toolkit like Android Jetpack, developers now can execute the test, navigation and can create an artificial
intelligence based app for Android platform across the globe.
The advancements are paving a way for future artificial intelligence based Android apps. Google is planning to release a new update Dialogflow, which enables the conversation with the Google Assistant without saying “Hey Google” every single time.
ML kits are fed with a huge amount of data, and with the experience, they are able to take a decision and solve problems.
Some amazing actions like Face Detection, Image labeling, Text recognition, Landmark detection are possible with the base APIs.
For instance, China has the world's largest monitoring system with 170 million CCTV cameras installed across the country. And it took Chinese authorities a total of just seven minutes to locate and capture the BBC reporter, John Sudworth, with its powerful facial recognition technology and the huge network of CCTV cameras.
1. Face Detection:
By implementing face recognition technology and Deep learning features, enables devices to recognize faces with 98% accuracy.
Many applications use this technology to identify human faces in digital images.
Additionally, Face identification in real-time for surveillance is possible for security purpose.
Even popular social networking platforms like Facebook has designed its own face detection algorithm for distinguishing faces and recognizing them.
More companies are now implementing this Face recognition technology for security-based and tracking apps. Ever imaged a credit card payment without swiping and just a scan of the face?
Enthusiastic developers are trying to implement this for ease of payment method.
2. Image labeling:
Developers can now use an Image labeler app that associates with the ground data in the group of images. Rectangular Region of interest can be labeled for object detection, pixel semantic segmentation and image classification.
This will improve the overall user experience and also increase the conversion rate.
3. Text recognition:
Android apps can insert this smart feature of detecting the text in the images and the videos. The media files text collection is called Text recognition.
Finally, once the text is obtained, break down into blocks and segments so that we can determine the actual meaning.
Rolling out an individual app for text recognition is a great option and it can also be combined with an existing app even.
The app itself has a combination of this feature along with different tasks.
4. Landmark detection:
AI facilitates to read radiology pictures and show the natural and artificial structures defined in the image. It can also detect particular points in the two-dimensional (2D)image.
Such technology can be used as a reference identifying photo for a possible landmark against the geological data and the visual match.
Specialists in that particular research area define such points. This technology serves some real instance level issues and fine-grained recognition issue
The user will enjoy the hunt for the images and will search for popular places like McDonalds or Subways sitting at any corner of the world.
5. AI Chatbots:
You can also reduce the gap between the businesses and customers by implementing AI chatbots.
They are able to manage multiple users and provide quick responses to them simultaneously.
Chatbots have transformed and fortified the future of consumer service.
Other practical applications…
It is possible to understand user’s behavior through data analysis.
Another important application is email scanning and automatic smart replies.
Integration of AI into fitness apps can keep the track record of health and the daily lifestyles of the people.
We are very much aware of the advancements and the revolution AI is going to bring. This is the reason why most of the Android App Development Company USA are inclining towards the incorporation of this new trend for Android Apps.
The technology is rapidly advancing and many more exciting developments may come in the near future.
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