HOW TO OPTIMIZE ARTIFICIAL INTELLIGENCE (AI) IN MOBILE APPS

Artificial intelligence is defined as the study of intelligent agents for any devices that can perceives its goals,sometimes it is called as the machine intelligence which is the contrast to the natural intelligence displayed by humans and animals.Artificial intelligence is also defined as the study of intelligent agent that is any device perceives of its environment for that its takes the actions that maximize the chance of achieving the goals.

In the old days computer technology has been increasing its power at the high rate.Then the human always working for the development of the power of the computer by their application such that production ,education,medicine,economics etc.

we are very thankful to all the world of technology which are providing us the technology and always on the way of developing the technology and size of these devices are decreasing.

All these devices are connected to the single network and are called the internet of things,that also include the people.

 ARTIFICIAL INTELLIGENCE

Computer launch many spaceship into the space,control technological processes,provided all securities system at enterprises that one only small part of that can be listed.Your mobile can be done many task such as  speech reorganization,make certain decisions,translate from one language to the other.

All these example based on the technology that is artificial intelligence as a mythology of computer systems in the learn and think mode.It means that most of the small program will developed based on the knowledge and research of the potential and capabilities of the mental of the people themselves and implemented to build the intellectual functions to the list of mobile apps development .

FEATURES OF ARTIFICIAL INTELLIGENCE

If we think about that the computer programs will be able to think or it have a certain level of thinking that is equal to the human .Human intelligence have not the same speed of the thinking like computer but able to the solving problem and leaving some detail about the account.In other words human intelligence can generates the idea and introduction innovation also.

So firstly start the demarcation of the programs with or without the AI.We have to discuss the difference between them and advantages of the former ones compared to the latter ones.

The advantages of the AI programs with the ability to respond to common questions that is excluding only specific ones and, as in the case of the programs without AI that is the  problem free and the name easy and quick modification of some information parts of the program and no modifying the entire structure.

BENEFITS OF ARTIFICIAL INTELLIGENCE

1. For addition in  the programs using with AI, some errors and defects are allowed, as artificial intelligence is much more universal than human intelligence and the most important thing to say is that the difference between  both AI and conventional programming is with the intelligence, we can say in other words, the imitation of a some level of human thinking or equal to the human thinking.We avoid only the sequential process of the pre-programmed steps .we understand with the example that is algorithms with artificial intelligence can be used in such search engines as Google.

2.   Advanced artificial intelligence are built on the basis of the cognitive architecture and separate modules on it can be responsible for functions that is eyesight, recognition and generation of speech, making decisions, attention and  more other aspects of the mind.

3.Most of the companies teach us how to optimize prices and increase our sales and profit by the use of Artificial Intelligence techniques and dynamic pricing.

4.AI is designed on the basis on the public good: to moderating publications in social networking for example, with the help AI in the Facebook.

5.In other words, artificial intelligence effectively filters images that have the inappropriate materials for publication and social media, however offensive and angry publications are still a loss point of technology.

NEURAL NETWORKS

The main important achievements of recent years in the field of Artificial Intelligence research is Machine Learning, that reveals itself in technologies based on the related to electronics for example aerospace, automotive that is self-guided cars, and are carried out by computer systems  that is the neural networks.

NEURAL NETWORKS IN MOBILE APPS

Neural network is continuously seen in everywhere.These neural network nothing but based on the principle of the machine learning that models the brain of the human and consists of the artificial neurons, in the ANN of the neuron,is as a rule of that few compounds that is in the biological one.We have to noticed that the neural networks are present in daily life that is mentioned in the following examples

 

  • In the mail, that is self sorting of mail.
  • For the banks that is automatic reader checks, signature authentication systems, customer service, automatic voice recognition and many other.
  • By the use of digital cameras that is the automatic face detection and focusing.
  • For the computer games that is smart symbols/agents etc.

As we know that is Google and Microsoft have updated the applications for translation with the help of neural networks that is New AI-powered offline language packs for the Translator applications for Android, iOS, and Amazon Fire etc. So the machine translation is based on the neural network algorithms has become more qualitative and the work can be carried out offline also.

ARTIFICIAL INTELLIGENCE IN MOBILE APPLICATIONS  

What can you say about the potential of such technology development, particularly in the field of mobile applications and the close attention for the study of artificial intelligence is paid by the main part of scientists in the US universities. IN the example that is in the 2014 the project was launched and its name is AI100  Century old study of artificial intelligence at Stanford University. The main importance of the research was caused from  the analysis of the impact of that development of the new technologies on human life in terms of its safety, psychology and other social structures.

TYPES OF ARTIFICIAL INTELLIGENCE

Thanks for the technological progress in the field of Machine Learning and also intelligent modeling, as well as sensors and cloud solutions ,for the combination of  Artificial Intelligence with mobility – Artificial Intelligence in mobile technology have become a reality at present time. The main three types of artificial intelligence which are used in mobile applications :

 

1.Weak NAI that is Narrow Artificial Intelligence for example, in IOS Siri for the iPhone, Google’s Translation Engine etc.

2.Strong AIG  that is Artificial General Intelligence.

  1. And ASI that is Artificial Super intelligence.

These type of ASI can also be attributed for the situation when computers or machines can simulate human thoughts. In other words that is when the cognitive ability of machines will surpass humans. For this, there were two opposite points of the view on the development of ASI: firstly, Stephen Hawking thought that the full development of AI is dangerous for humanity, and on the other hand, Demis Hassabis the co-founder and CEO of Deep Mind thought that argues the smarter AI is designed to help humanity and is useful for some important task.

INTEGRATION OF ARTIFICIAL INTELLIGENCE INTO MOBILITY

Now these days, the using of Artificial Intelligence in mobile applications is growing fastly as its application, first of all, makes a person’s life easier and better, and also economizes the time and making the life digital. AI converts the boundaries of its stay: you can find it not only  labs but also in our everyday life as a GPS, in energy networks, in the online world and many more fields.

EXAMPLE OF AI APPLICATIONS

Consider you are the owner of an Android smartphone and you have a virtual assistant in your hands that can perform several tasks simultaneously and such as sending messages, for time scheduling, by using the e-mail, etc. For the Artificial Intelligence mobile apps that you can use in the Android smartphone and you can specify the following ones:

 

  • Voice assistant on the road with AI Robin, that reads text messages, information on the terrain, GPS navigation and many related to this .
  • Google Smart App for smart messages that helps you solve your problems easily also voice assistant for sending emails from AI Cortana to Windows users and sorting the data.
  • A voice search engine and assistant Hound, that allows you to easily and quickly get the information you need that is only you have to give the voice command and the machine will give you the information.
  • For receiving the current smart news feed, you can use Recent – the application, on the basis of AI. The main advantage of the application is that it memorizes your preferences and offers that you topics and articles, which you might want to read easily.

 

  • Among the mobile applications with the use of AI, and one of that is worth knowing about is the Prisma application, which is sophisticated technology offers users to produce masterpieces from their images and videos. And the artificial intelligence in smartphones is presented like an AI-camera that is used for scene recognition and give the output.

 

  • With the increase in the processing power in the field of Computer Science and many more sophisticated data analysis algorithms have been produced. According to Kdnuggets in the year 2018 is considered to be the best year for creating a startup based on artificial intelligence and You can find the evidence of it in practice, for instance the Tetra application,that is simultaneously makes detailed text entries in the course of a telephone conversation.

STARTING THE MOBILE APPLICATION BASED ON THE AI

With the Forbes magazine article which is based on Forrester’s TechRadar report that the number of enterprises using AI in 2018 has increased to 62% which shows the increasing use of AI .How we choose the right technology with AI for our mobile?

  • AI Technologies which Can be Used in a Mobile Application images.

 

  • 8 AI Technologies which Can be Used in a Mobile Applications.

If your application is based on the customer service, for example, creating reports and market reviews, you need to use a natural language technology. That is offered by such companies as Attivio, Automated Insights, Cambridge Semantics, Digital Reasoning, Lucidworks, Narrative Science, SAS and Yseop.

The main of this popular technologies used in interactive voice control systems and mobile applications is Speech Recognition Technology. For this  technology, let us consider an example,that the Siri or Cortana system, allows decoding and transforming human speech into a format that is understandable to a  machine. Nuance Communications (NICE), OpenText and Verint Systems are most of the companies that offer such services.

If you plan to have a business application which has to be ability to interact with people online for contain feedback from the user or the online community.In other words, for using chat bots or voice managers, then you will be assisted by Virtual Agents. Amazon, Apple, Artificial Solutions, Assist AI, Creative Virtual, Google, IBM, IPsoft, Microsoft and Satisfi offer the using of these such technologies.

Suppose your application is for corporate level, and also used for forecasting and classification, you should implement Machine Learning platforms on the basis of Machine Learning (ML). Companies associated with the help of the sale of this type of ML technology are Amazon, Fractal Analytics, Google, H2O.ai, Microsoft, SAS and Skytree. The tech giants propose a vast selection of software and tools with AI for developers.

Biometrics is a technology which allows you to identify, measure and analyze human behavior and physical aspects of structure and shape of the body through work with the pictures, sensory recognition, voice and gesture control etc. It is  widely used in marketing research that is3VR, Affectiva, Agnitio, FaceFirst, Sensory, Synqera, Tahzoo and many more.

Text Analytics and NLP that is Natural Language Processing technology allows you to find the information you need in search engines, generate news, structure solid text. The technology is currently used for the security and fraud detection systems and very useful to us. The main popular ones are Basis  on the Technology, Coveo, Expert System, Indico, Knime, Lexalytics, Linguamatics, Mindbreeze, Sinequa, Stratifyd and Synapsify.

The other interesting technology that allows the software to «read» emotions from the human face with the help of advanced image processing  and audio data is Emotion Recognition and the human senses have captured by the subtle speech indication and voice intonation. The tool is largely popular among start-ups like Beyond Verbal, nViso, Emotion AI and Affectiva.

Finally, in your mobile applications, you may successfully use Image Recognition technology based on the process of identifying and detecting the object or function in a digital image or the video. IR technology that can be used to find license plates, to diagnose diseases, to analyze clients, to verify users by the faces. Most of the Companies that use IR include: Clarifai, that provides image recognition systems for customers and Sense Time, that develops the technology of the face recognition, which can be applied to the analysis of payments and images for checking the bank cards such as atm card ,credit card etc.

When you run the applications, you have to also pay attention to server-less computing. When building of the functions in your applications, you can produce each one as a server-less calculation written in different programming languages such as  Java, Ruby, JavaScript, or Python etc.And hence, the application  of the server which runs with the code does not exist, and these functions are produced and executed as needed.

For avoiding the problems, such as the failure of one function within a chain, identify the cloud services and open source tools etc. The way that you can manage the programming, debugging and life-cycle management of server less functions and also test them on a laptop, a pre-server or any cloud.

 

TIPS TO DEVELOP AI MOBILE APPS

1.It should be consider that startups are divided into two types that is one of «horizontal» and other is «vertical». The  main difference between them is the former ones are aimed at developing one fundamental problem, that takes a lot of time and resources, so the development model is inherent in large companies.

2.The latter ones are engaged in finding the solution to one highly specialized task for a particular consumer. Most likely, your application will have to do with a vertical task, that is not bad due to the possibility of rapid development in a very short time.

3.Analysis the market for your startup: indeed, besides studying the market, you should constantly be in the know and be like a duck to water. Given that the rapidly growing digital market, the following strategies are currently relevant: that is, providing mobile data access, integrating applications with legacy systems, implementing an API-based architecture, and adopting flexible development methods and to create a web page or a blog describing how you use artificial intelligence to make your application more attractive for users.

4.For creating your visual content from the written, you can use tools such as Wibbitz, SaaS, that will help you create. For example, a video within the technology of producing video AI in just a very short time. You may also use the Wordsmith tool, that is created by Automated Insights – it uses NLP that is Natural Language Processing to generate news on the basis of incoming data.Most of the Brands such as USA Today, Hearst and CBS already use AI to generate their content.

5.By the learning of your ideas. Absor  yourself in the development of your idea of the mobile application completely, for this, it is necessary to conduct advanced analytics that is , it is the use of machine learning in order to automate the preparation of data, as well as to search the necessary information.

MOBILE ARTIFICIAL INTELLIGENCE AND ANALYTICS

For knowing that one of the tech trends of 2018 is the combination of smart applications and analytics ,  Garner says: over the next some years, most of the service application or everything will include artificial intelligence at a certain level. AI has become the next big battlefield in a wide range of software and services markets.With the including aspects of ERP. You can see, intelligent applications also produce a new intellectual intermediate level between people and systems and can be transform the nature of work and the structure of the workplace.

The most thesis is that extended analytics is a very special strategic area in which Machine Learning is used to automate the preparation of data that search for information and sharing of information for a large amount of range of business users, operational workers, developers and scientists.

For developing your application that pay attention to the design, for what your product will be «wrapped in». The journey along your application can be exciting and the design to be backed up by convenient navigation.

Identify the power of your artificial intelligence app developments and their functions, their advantages and attractiveness to the user. Your application become essential in every time for the person.

Do not refusing the pre-testing  that is manual or automated  of your product.

It will be permit to you for identify the weaknesses of your product in order to work hard to eliminate them. It is a simple process: if at the stage of the product launch you identify the number of errors and bugs that  you can eliminate them in the shortest possible time with the help of application updates.

Trying on the role of the user of your application, that will allow you to objectively assess the importance of a particular problem, internal functions and tools.

The introduction of AI, namely, this is the using of  AI in mobile app, despite the complexity of this process, be technically elegant and the user is not interested in this aspect of the issue, they are concerned about how convenient your application is and whether it is helpful to solving their problems.

CONCLUSION

In the current period, the period of the integration of Artificial Intelligence into the newest technologies, including mobile ones and even our everyday life that can be called a revolutionary era, and the main task of AI is to make computer networks more «intelligent» by coordinating the work of all devices such as , tools, connecting sensors and networks, using the AI, that is to increase human activity, and not just only the way of replacing people.

So we have to come for the conclusion that the integration of Artificial Intelligence for the  everyday life is thrusting confidently forward. Indeed, the extent for that Artificial Intelligence comes into the life of mankind gives a lot of new challenges to the people and it entails many risks.Integration of AI in new mobile applications will give the new opportunities such as smart interaction,deep personalization,special opinion,intellectual answers.

In this article, we have to try, to give a couple of useful tips of how to use AI in mobile applications, in particular in your future application, and what is the role of AI for mobile apps.

we caring for Marketing Strategies and building new business tie ups at AIS Mobile Apps center point of Skilled Mobile Application Developer. Concentrated on helping undertakings StartUps from residential to MNCs.

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