In recent months there has been a lot of talk about the arrival of artificial intelligence on cell phones. In fact, it is the feature that most companies highlight when describing their products. LG, for example, announced that it would launch a new version of its LG V30 that will incorporate artificial intelligence into its camera, as well as other optimizations that come hand in hand with the Google Assistant.
Last year, Huawei announced, with all pomp, the arrival of its Kirin 970 chip, which integrates a neural processing unit and is part of Mate 10, and Apple featured the A11 Bionic neural engine, present in the iPhone 8, 8Plus. and X.
Meanwhile, Samsung announced its Exynos 9810 chip, which is also based on neural networks like Qualcomm’s Snapdragon 845. The Galaxy S9 and S9 + will include one of these last two processors, depending on the country where it is marketed. Samsung made it clear with its Galaxy S9 that it will incorporate artificial intelligence into the operation of the camera, with which it translates texts in real time. This feature integrates Google Translate Word Lens technology and Bixby personal assistant. According to the company, it will be possible to translate up to 54 languages. Also, when capturing photos in low light, phones “decide” between an f/2.4 sensor and an f/1.5 sensor.
The Google Pixel 2 has a coprocessor, called the Pixel Visual Core, that integrates eight image processing units, powered by machine learning. ARM, for its part, launched Project Trillium, which refers to chips with embedded artificial intelligence (AI).
Deep learning-related features are typically experienced from the mobile phone when, for example, using Google Photos, which automatically recognizes and groups images. But in the cases mentioned above, it is intended to go one step further and incorporate this technology into the equipment to optimize processes.
When people talk about the arrival of artificial intelligence in cell phones, they mean processors with neural processing networks. In these cases, artificial intelligence is embedded in the heart of the phone and is what allows the mobile, among many other things, to choose how to manage its resources to function in the best possible way.
A neural network seeks to mimic the functioning of the human brain. It refers to a computing platform that has neurons or computing units that connect to each other. This network can detect patterns, learn (machine learning), and make decisions based on that.
How artificial intelligence affects cell phones
In general terms, the use of artificial intelligence helps to improve the processing of a cell phone according to the particular profile of each person, instead of using a generic profile, the processors respond according to the use of each user. The same will adapt to the habits of its owner.
Artificial intelligence improves computer performance by making efficient use of energy. Artificial intelligence will add a lot of value to accumulate experience and know when it is necessary or better to activate and deactivate the cores to respond to the functions ordered by the user.
Performance and speed
Although the numbers vary between companies, in general terms, the performance improves between 40 and 70%. This is because the processor recognizes which functions are the most used on the mobile and optimizes the processing speed in those cases.
Instead of performing a standard virus scan, the computer can identify threats based on non-standard criteria tied to user behavior and notify you.
Voice recognition optimization is achieved. In this way, the mobile not only manages to understand what the user says, but can also understand the way in which he expresses himself, perceives the variations and can interpret the context.
The phones of the next few years are called to improve interaction with voice assistants. It seeks, for example, that users speak to their phone to turn on the television, check the food stored in the refrigerator or turn on the washing machine, among many other alternatives.
In the future, cell phones will not be as we know them today and manufacturers must look for the difference because today they all offer almost the same benefits.
Device vendors seek to differentiate themselves. That is why they begin to work on details that may be relevant to the client, such as artificial intelligence. This technology has been growing thanks to the greater processing capacity of the terminal and the speed of response it offers.
The team can identify the lighting conditions, the time of day and what you want to reflect, and based on that, adapt the camera so that it takes the best possible image.
In fact, the camera is the function that benefits the most from the integration of AI in mobile phones. LG, for example, introduced the V30s ThinQ, a phone capable of recognizing objects and people to advise the user when to take a photo. LG aims to transform mobile shopping: the user only has to scan the QR code of a product, and the smartphone will inform them about the options for their online purchase and the availability of similar products.
Artificial intelligence allows the system to recognize images, offer tags and ways to group them into albums. It also helps when it comes to tracking images as they can be searched through keywords. This feature that is present in the cloud, through Google Photos. And in computers that have processors with neural processing units, that function is also built into the heart of the cell phone.
Dedicated machine learning cores allow for more precision and sophistication in facial recognition tools and augmented reality applications.
Artificial intelligence has begun to be present in high-end mobile phones, and everything indicates that it will be king in the next launches during the year. According to consulting firm Gartner, only 10% of smartphones today have this built-in deep learning capability, a feature that is projected to reach 80% of equipment by 2022.
How artificial intelligence (AI) is transforming mobile technology?
Recently, Artificial Intelligence (AI) and Machine Learning (ML) have created a huge impact on human interaction with machines and devices. Be it for any kind of industry, from travel industry, utilities, machinery, telecommunications or advertising, AI and ML have enhanced the smartphone experience in a huge way. Both Android and iOS mobile platforms are integrating AI and ML into various applications. Also, with AI and ML, decision making has become much faster and more accurate by accumulating a large volume of information.
Artificial intelligence and machine learning is much more than a smart technology as it offers all the emerging technologies, especially in the technology, telecommunication and media industry. Looking at the development of new technologies, such as chatbots, self-driving cars, virtual assistants, etc. Also, in the coming years, there will be an incredible flow of AI and ML that can only be seen in science fiction movies.
In the year 2018, we will see a huge transformation in various industries as they turn to AI and ML to enhance their existing services. In addition, future versions of Android and iOS will see more features and applications integrated with artificial intelligence and machine learning. For that, you are required to hire Android developers who possess knowledge of AI and ML. These are all the changes given below on how AI and ML will bring to mobile technology:
Empower search engines
Artificial intelligence and machine learning have introduced users to a new method to search using images and voice, as opposed to text mode. Also, due to the integration of AI and ML in mobile applications, it is now mandatory for Android developers to develop image recognition system and voice recognition system. In addition, AI will also provide app localization to improve conversion rate
Artificial Intelligence combined with the Internet of Things (IoT)
AI allows your device to communicate with each other. AI will make drastic changes by collecting all the data in real time and processing it so that the devices learn to work on their own. Therefore, AI is helping mobile development companies to learn and execute on every piece of information that is exchanged between various devices and then take all necessary action.
The smartphone camera is getting better at detecting subjects
This is one of the important areas that Android phone makers and Android app developers are working on regarding artificial intelligence and machine learning. By using AI, a smartphone camera interface can easily detect the subject in the camera frame, such as food, scenery, fireworks, etc. It works accordingly by adjusting the settings to get the best possible image.
In addition, artificial intelligence and machine learning can also easily identify facial features and enhance them to get a super portrait image automatically.
Real time language translator
There are so many translation apps available that allow users to take a picture of a text in one language to convert it into another language.
However, most of these applications use the Internet to load images for analysis and then translate the text.
By integrating AI and ML, your smartphone will be able to translate different languages in real time without the need for an internet connection.
Face unlock to power more smartphones
With the release of iPhone X in September 2017, face unlock has become one of the most popular features in Android smartphones. Apple uses AI and ML based algorithms for its Face ID unlock system. With the combination of premium hardware, the artificial intelligence system works to identify the user’s face to ensure unlocking.
Also, in the coming years, we will see many Android developers and smartphone manufacturers implementing face unlock function by AI processing. Where the smartphone can easily identify the user’s face with facial changes such as a beard or glasses over time.
High app authentication
Amnesty International has a huge responsibility when it comes to cybersecurity. With technology constantly changing and the increasing use of smartphones, we all need the advanced level of data security. When developing new Android apps, security is one of the biggest concerns for Android developers. With AI and ML, security concerns and issues have been reduced by alerting users to potential threats and vulnerabilities by analyzing user behavior.
App Marketing Creation
To market the app, marketers must collect and maintain large data sets, both online and offline. This is time consuming and labor intensive because maintaining each customer’s data is a tough job when you are asked to deal with millions of customers all over the world.
Artificial intelligence-based smartphones and apps help analyze and research the market and the user’s purchase history. According to Statista.com, by the year 2020, almost 30% of businesses and companies will use artificial intelligence and machine learning to increase their sales. Additionally, AI and ML will help businesses make better marketing decisions to increase their engagements and sales with users.
These days, seeing the impressive growth of AI and ML, it can be said that companies are clearly focused on influencers and advertisers using micro-targeting to extend the reach of their customers.
AI in the coming years will be integrated into 5G smartphones. Which means that users can get all the benefits of AI and ML that have the potential to collect, store and process all data in real time. Also, with AI you will get an advanced personalized user experience. Therefore, companies will take advantage of this to increase their business and return on investment (ROI). The future ahead will be smart for AI and ML powered smartphones and with that mobile economy will grow tremendously over time. To get new AI features in your existing mobile app, you need to hire Android developers for the same.