It has been a long time since humans started thinking about automating a lot of tasks and functions of many roles and functions around them, starting from personal tasks such as turning on the room light, cleaning their houses, waking them up and parking their cars. and even talking to a robot about personal matters such as family issues, emotional issues and to develop their social relationships.
Scientists kept thinking and trying hard to redesign and to implement machines and devices to do those tasks and jobs.
Despite their success in inventing robots and machines to do those tasks and functions to help humans accomplish their jobs accurately, they always lacked a clear vision and strategy for those machines to execute the tasks accurately.
With the informational and technological revolution appeared mobile applications which were greatly working to do a lot of jobs and tasks to ease the mission of the humans. However, they always needed something to make those mobile applications to repeat the tasks with different actions and to decide like humans.
At that point, humans had to develop their mobile applications to be smarter and even to be able to decide immediately based on the gathered information.
So, developers started to develop a new strategy to train machines to understand human actions with high accuracy to be able to help them back with their work and tasks. And they started training their mobile applications by asking questions, gathering information and sorting them out with specific orders and conclusions.
What is AI in mobile applications?
Artificial intelligence in mobile apps like slottica-poland.com/aplikacja/ refers to machines that have developed software to gather information, sort them out, analyze them and to act accordingly simulating the human actions with the same information in specific situations in order to have the same results.
Software experts developed patterns with the same information resulting in the same conclusion with the same information to do tasks and jobs reliably like humans without interference of humans.
For example: in photo retouching and editing, the photo editor might need long time to edit a single photo of being an old photo were taken by an old camera to enhance the quality and even to fix the cracks and the scratches in the photo, and that happens only with a single smartphone touch with specific applications that are trained to fix old photos with AI.
Why AI?
- The main reason and cause of why mobile applications are to take actions and to make decisions is to provide the user with seamless user experience based on repeated steps leading to the same results. That assists the user to leverage his potences into a different level and to change the common results used to happen every time.
- Using AI in mobile applications is a real game changer as it provides the user with vast and various possibilities at once without the need to repeat the same steps to reach a different point. A single prompt can lead the user to different results with all the possibilities added to its helpful recommendations and advice.
- Behavioral analysis has been one of the game changing functions that AI added to mobile applications, as it helped the user to shorten the process of choosing for example his favorite video playlists and preferences just like what Youtube does with each and every single user, it analyzes his favorite channels and types of videos he/she likes, brings the most recent and updated video that attracts the user and gets them listed once the user logs into Youtube using his username.
The role of AI in linguistic mobile applications
- Learning languages has always been a hard way to go before AI, and it had been depending on transforming traditional learning into digital learning. However, after implementing Machine learning in mobile apps as in languages learning mobile applications has changed the industry forever and new ways came on top of the old and the traditional ways of learning. As it helped the student to get started from the point he is really at as now the mobile application is able to know the student’s linguistic level by asking some short questions. Added to that it is now able to set a customized plan for each student based on his ability to learn, time, skills and real goals. It really helped the student to reach his goal in the shortened period of learning with total avoidance of choosing the wrong course track.
- Enhancing a student’s linguistic skills has been a hard way to go as well. As the student had to go through a long process of having his/her skills tested to specify which skill needs to be developed and which skill needs to be empowered. But now the student is able to start fixing his broken skills, develop them and even to enhance and to empower the good working ones.
- Speaking skill has been always the hardest for the student to develop as most of the time new students have no access to natives of the same language he desires to learn to practice with them, but now at the tip of his finger he/she is able to practice what he learns immediately with no need to connect with natives of the same language to practice with them.
Talking about new technologies and the technological revolution can be extended to pages and pages to explain how Artificial intelligence affected mobile app design and gave users an amazing leverage to ease the usage of mobile applications and executing tasks.
