Although AI is still in its infancy, it is already changing our lives with the versatile, powerful and compact portable devices we carry around in our pockets.
In a nutshell: AI is the concept of intelligent behavior in technology. The most common example of mobile applications improving AI performance is voice assistant technologies like Google Assistant, Siri or Alexa that use AI for speech recognition – AI helps them decode human speech and convert it into a format that the machine can understand.
At the same time, machine learning (ML) is a branch of AI that allows computers to analyze and learn from large amounts of data to better serve us. An example of the application of ML in mobile technology is the analysis of data from fitness trackers, smartphones, cell phones and other devices by fitness applications to provide personalized fitness advice.
Every year, more and more startups and companies are using tools that leverage artificial intelligence and ML to deliver a more compelling user experience. Here are some other applications of AI in mobile development:
#1 AI Biometrics
Artificial intelligence-based biometric technology uses artificial intelligence to analyze, identify and evaluate human physical characteristics and behavior. With AI, biometric technology can recognize a human face based on its structure, shape and size, even if the face is smiling, wrinkled, crying or laughing.
With today’s smartphones, AI makes it more possible than ever to take professional-quality photos all at once. The phone’s AI algorithms can tell whether the user is photographing a person or a panorama. In addition, the AI can choose the optimal settings for the photo, so the user doesn’t have to.
AI technology also helps the phone software to make numerous post-processing decisions to improve the quality of each photo, saving the user many hours of work with photo editing software. For example, the AIm can neutralize the negative effects of reflections, bad angles, and imperfect lighting without user intervention.
While smartphones still can’t compete with DSLRs and mirrorless cameras, mainly due to their weak sensors, they can offer consumers more powerful photographic applications thanks to AI.
Some mobile applications use AI to help users identify objects and items. For example, users of a Samsung smartphone can use Bixby Vision to learn more about a book they saw in a store or a landmark they saw during a trip.
Chatbots are virtual assistants that reside on corporate websites and applications, answering users’ questions and helping them make decisions. AI-based chatbots offer users more personalized and accurate responses. For example, the eBay chatbot helps users find deals and recommend new purchases after using AI and other measures to analyze purchase history.
Financial applications use artificial intelligence to help people make more informed financial decisions. Applications use ML to analyze market trends and make investment recommendations based on the user’s risk tolerance and current financial situation.
Here are five ways AI is having a significant impact on mobile application development. As AI improves, you can expect applications to become smarter and more useful.
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