The field of AI research emerged in 1956. However, Artificial Intelligence (AI) is making a massive wave around the world now more than ever. One can refer to it as a branch of computer science dealing with machine intelligence. AI involves machine-learning innovation in contrast to human and animal learning.
AI is fast-paced and undoubtedly impressive that matches up to the fast living pace of the 21st century. It can successfully understand human speech, can compete in strategic games at the highest levels, automatically route content delivery, obey voice commands, understand human demands and optimize accordingly, and the list is ever increasing.
This particular innovation has led to a new shift in the way the new-age businesses work. AI has provided a newer dimension to the utility and consumer demands of people all around the world. The global scope of AI is continuously changing. It is always moving forward with a leap to meet user demands as much as possible.
The market is super-competitive. As a result, tech-giants are always on the lookout for putting their respective AI software into the platforms to bring the most effective results to the user population.
With Android occupying more than 87% of the market share, it is quite evident that Google’s efforts have been quite fruitful. The consumer ground of Android is spreading day by day. And with the increasing users, the demands for better features, communication, and better optimization simultaneously increase. With Android joining hands with machine learning, it is a matter of the near future for Android to beat its competitor platforms.
Here the advantage of a platform like Android is its adaptability in the greater number of devices – from mobile phones, smart-TVs, and fitness bands. And Google, by focusing its superior intelligence in Android, will provide a push up in the ladder of competition.
The tech giant is moving towards making personal AI apps. Although it has been successful in many ways, the target is to provide the users with the smartest apps possible. This is where the competition in the market begins.
With Google’s mammoth-like intelligence backing up a popular platform like Android, they definitely will be a promising asset that will attract not only the developers but also the everyday users. How? Because of the following.
Google Assistant is a virtual assistant developed by Google. It is powered by artificial intelligence (AI). It was initially released in 2016 and is a developed form of Google Now. Unlike Google Now, Google Assistant is programmed for two-way conversations. It was described as a “conversational assistant” by Google back in 2016. It focuses on user-friendliness by emphasizing on the fluidity of the service that is provided across devices and gradually across platforms.
Google Assistant has its place in the market competition as well. Apple had launched a beta version of its virtual assistant Siri back in 2011. Other than Apple, tech giants have their virtual assistant. For instance, Microsoft’s Cortana, Amazon’s Alexa, Samsung’s Bixby. As we proceed further into the 21st century, the competition seems to increase.
But evidently, Google Assistant is a step ahead in this competition, at least for now. It is because of its ability to adapt itself across platforms. Moreover, because it focuses on Android, which is, until now, a significant part of budget phones.
Moreover, the fluidity of the Google Assistant ranges across devices. It can easily optimize to more regular user-friendly tasks like speech recognition and contextual understanding through logical comprehension. It is successful in providing its users with concise and repetitive information on any queries they have.
The modern tradition of everything ‘one-click away’ is transforming to something that is ‘one command away’. Also, a larger part of this is because of Google Assistant. It comes in a comparatively affordable variety and focuses on a platform that has a user-friendly interface. The ever-growing success and wider reception of Google Assistant are evident as advancements like those that the Duplex is entering into the foreground.
Tech giants are starting to focus their resources on developing personal AI apps by incorporating machine learning into their products. AI-driven smart apps are making their way in the competitive market in a more significant way. As a result, programs are in their way of becoming highly effective that will deliver their users with the best of information and data.
From Apple to Microsoft, the focus of all these tech giants are on developing and promoting user-friendly AI-driven apps that are compatible with their platforms. As machine learning becomes a part of apps, it will be much easier to use for day-to-day activities.
But shifting our focus on Android apps, we can agree that user-friendly AI-driven apps will have far-reaching effects on the lives of normal people. They will gradually become the necessary virtual companion of the user.
AI brings into the world of the app industry a versatile effect. Its approach includes studying the customer behavior of app usage. By capturing the user’s everyday data, it makes it more convenient to use. However, how does AI transform normal android apps into the smartest apps? You can find the answer in the following optimization approaches.
The feature of smart reply is one of the latest innovations in testing approaches. These are already typed out replies in response to a particular message. For example, smart replies can be noticed in G-mail responses. You can spot as some little phrases at the bottom of the emails that are specifically determined by the AI as the relevant response.
The innovation of smart replies makes it a more convenient feature while aiming for a fast and concise reply. In the fast-paced, busy world, it offers a hand to save and reduce interaction time as much as possible.
Image Labeling is another AI functionality when it comes to AI apps. Through the specially optimized AI camera apps, users can identify the different objects in the frame. It can identify plants, animals, items, fictional characters, etc. in the given picture frame.
Personalization is also an AI-driven app feature. It provides users with recommendations that match their interests efficiently. The AI optimizes results by studying the user approach and relies on predictive analytics.
This feature is a step ahead of personal AI apps. It is a more responsive asset of businesses that aim to make a progressive change in the overall customer experience.
Speech Recognition is an AI-driven feature that eases one on one interactions between users and computers. The human language is interpreted as a computer language. As a result, the computer can more conveniently understand the user’s demands and can provide more specific data.
This technology is a substitution for other input processes, like typing or selecting. It makes the app more user friendly. It also saves time and increases productivity.
Chatbots are designed to carry out normal conversations with the users, just like a human would. It is an AI-driven computer program to simulate human interaction with users, or with other chatbots.
Yes, that face-lock system is AI-driven technology as well. It uses biometrics to understand facial features and tries to match the known faces in its database. It can also help in recognizing and analyzing human faces from a photo or video.
Text recognition uses AI to interpret and analyze the texts that remain embedded in media files. It is not a commonly used AI feature until now. However, it can help in developing apps that create video transcripts.
Google is already on its way to delivering AI android apps. Over the years, Google has developed AI-driven apps that are giving a hard competition to other tech giants. All these AI apps are targeted for the Android platform and focus on providing the users with apps they can use in their daily lives.
Apps like G-mail uses the AI-driven Smart Replies feature. Google Photos is a well-known app for Image Labeling. It gives a completely new dimension to the world of picture sharing and creating albums.
Google Translate uses Speech Recognition and is an important tool for learning and understanding non-native languages. Popular media streaming apps like Netflix use the Personalization feature to make recommendations to its users. These are among the best AI apps of 2020.
Google had a big reveal for the visitors and viewers of its developer conference in May 2018. This big reveal left their audience in awe and made their jaws drop. Google was working on for a long time this project. This was the AI project Google Duplex.
Google Duplex is nothing but an extension of its already existing AI Android app, Google Assistant. The job of this personal AI app is to help its users make appointments or bookings for various services like ordering food from a place that doesn’t have much of an online presence or making reservations in restaurants or salons for a haircut.
Using this AI Android app, the users don’t need to speak to the restaurant employee. The AI assistant does the job for them. You can pay for movie tickets online at a much faster pace than usual.
Google’s CEO Sundar Pichai made the presentation of this wonderful app at their conference. He demonstrated the workings of the service with an AI-driven human-like voice. The demo showed that the AI could recognize and comprehend what the human voice was saying on the other end of the call.
It also has the capability of responding to all the questions of the real person with correct answers. In November 2018, Google announced that the Google Duplex AI Android app would roll out its services to a select few users in the US.
However, this time around Google put a few security changes as the AI system identifies itself as being from Google when it starts the voice call. Also, it lets the user know that they record their calls. However, if the receiver doesn’t wish the call to be recorded, then Google Assistant transfers the call to a non-recorded line.
Google Duplex is currently operating in the majority of the US and remains to be one of the smartest apps developed by Google.
Extraordinarily Effectively Developer Assist
Tech developers these days are realizing the importance of incorporating machine learning into their products. As our devices and systems get more updated and developed every day and people start generating way more ideas than before, this becomes a reality. This is evident from the fact that more and more companies are adopting AI into their devices and promoting the same. Today, AI has become an important part of developing mobile apps.
Developers have usually had a special liking for Google. It has pretty much been considered a friend and often given family-like values by designers. On top of that, besides providing extraordinary open doors like GSOC, it also provides similar equivalent alternatives like those that open supply libraries, for example, scikit-learn and TensorFlow, which are enormously standard and lucrative throughout the developer group. These are quite well known and efficient inside the designer network.
Also, Android itself is an open supply and affords several adaptabilities for app builders. Therefore, naturally, the engineers are much more and engaged in constructing scalable, versatile, and optimized apps for this platform.
Google is always on the lookout for more and more developers to get into this field of machine and has made several efforts to make this possible. For example, it introduced the Machine Studying Crash Course. It is a course designed to teach developers the subject of AI from scratch. It guides the individual from primary linear algebraic ideas to best in the class intricate neural networks.
Android builders considered the announcement of TensorFlowLite that it’s an ecosystem of this particular platform. It works smoothly with the official Android IDE, Android Studio, to develop apps with the same degree of consistency as the earlier ones.
Google has been a predominantly successful company, which has focused on platforms like Android to incorporate their AI application. This progress has been remarkably visible. Android now occupies more than 87.9% market share.
It has also been proved that Android is more likely to topple over its competitors by using Google’s intelligence expertise. In the next few years, apps will emerge to be a successful development in the world of technology and will attract both developers and users.
It’s not just that only these two companies have developed their apps. Every day more and more big business companies are launching their own AI apps. Some of the best AI apps of 2020 are undoubtedly Microsoft’s Cortana, Amazon’s Alexa, Samsung’s Bixby, etc. However, Google’s Assistant and Apple’s Siri tend to be the smartest apps among all AI apps to date.
A personal AI app fulfills the tasks ranging from voice and speech recognition and contextual understanding to providing concise yet relevant information to any queries or questions the user may ask.
It also analyses the user’s behavior of app usage and captures and stores data. Then it uses information like location, contact, and the user’s everyday conduct to personalize your app usage and make it more convenient.
Give it a few more years and Artificial Intelligence will take over humans in many areas. Given the progress in this particular field, AI will pretty much out-think and out-innovate human beings on all levels. Experts try their best; put so much effort and dedication behind creating the smartest apps that reduce human tasks in the 21st century.
These personal AI apps not only have a mind of their own, but they also interact with their users in almost a human-like way, which attracts more attention towards the world of AI. Almost all AI apps these days possess a human-like voice, which makes the experience even more realistic.
However, one major area of concern is the clash between humans and Artificial Intelligence in the later years. A time will come when AI will be running our societies and civilizations without the need for human effort anymore.
Humans will be expected and forced to adjust to a new world order created by Artificial Intelligence as they are supposed to know the best strategies for the maximum possible game. A situation like this will be extremely difficult to adapt and blend them.
Although this is quite the far fetched idea, and we will come up with a better way of dealing with such issues in case a negative situation were to arise.
For now, though, the amount of thought and time that goes into developing these personal AI apps has proven to be quite fruitful. These apps have turned out to be quite useful to people, and these big-shot companies like Apple and Google and making more progress in the research and development of AI. I hope that things will keep pace, and we can expect many other great achievements by these companies shortly.
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