With the advent of mobile phones and their mass acceptance and utilization at a global scale, they have become an essential part of our lives. Slowly and gradually, with the development and availability of free apps on mobile app stores, our lives have started revolving around our mobile phones. Our mobile phones have indulged in every aspect of our lives, i.e., from healthcare, entertainment, business, tourism, and education to E-commerce and technology. For many of us, our mobile phones have now developed into a platform where we get to benefit from different latest technologies in our day-to-day lives.
Mobile Phones and AI
The expansion rate of AI is remarkably accelerating. Sectors like healthcare, education, and finance are all investing in AI, but mobile is the most promising area for AI. Mobile phones have been making use of artificial intelligence (AI) for quite some time now. Apple’s Siri, the famous AI assistant, is an example of AI technology in mobile phones. But now, AI is revolutionizing the way mobile app developers create applications and the way the end-users experience them. The new generation of mobile phones integrates cloud-based AI (software) with built-in AI on the hardware. Global tech giants such as Google, Apple, and Huawei are striving hard to further enhance this technological revolution. Here are some common fields where AI is being extensively utilized in 2023 for mobile devices:
• Speech Recognition
An on-device AI program is used for listening out a particular keyword in any speech, which then transmits the conversation to the server for further processing.
• Image Recognition
It helps the mobile camera to apply suitable filters and label photos to be easily searchable. Many retail companies are now offering image recognition features in their mobile apps. Scan-to-buy options available in these apps enable customers to shop directly from a retailer’s catalogue. Some retailers are using these techniques that allow consumers to point their phones at any object and receive suggestions for similar products. Techniques serving as a basis for such applications are ego-motion estimation, enhancement, feature extraction, perspective correction, document retrieval, object detection, etc. Clarifai and Cloud Vision are good examples of Image Recognition apps.
• Gesture Recognition
It is an image-processing technology used to interpret human gestures via algorithms. AI uses mobile apps to monitor bodily gestures or body language, either recognized from images or through data received from the accelerometer sensor of a mobile.
• Optical Character Recognition (OCR)
It is an AI-based technology that is used to convert physical documents into machine-readable text. It scans and recognizes text characters within a digital image of a document (such as scanned paper documents) examines it and translates it into digital code that can be used for further data processing.
AI allows fast, high-volume translations from one language to another that are exceptionally precise and accurate. AI-enabled software used for this purpose can self-correct and improve the quality of the translated text.
• Voice Synthesis
It is also called Voice Cloning. A digitally synthesized voice with the help of AI can be a great way of giving user feedback or helping accessibility, and recent developments such as WaveNet and Overdub can offer a very realistic and natural-sounding speech.
• Visual Search on Mobile
Mobile visual search lets you find all those things you don’t have the words to describe. Let’s say you saw something you liked but you don’t know how to find it or what it’s called. Using this technique, a picture of anything taken by a mobile phone’s camera can be used to search for it. In some cases, visual search is faster and more accurate than text or voice and a mobile phone is the perfect launchpad for visual search technology. Google Lens is a perfect example of a mobile visual search.
• Text-To-Speech (TTS) Systems
TTS can transform any digital text into a multimedia speech format so that people can listen to blogs, articles, or news. It is a highly reliable speech synthesis system that gives a better user experience for people with learning disabilities, literacy difficulties, people who speak a language but cannot read it, people with visual impairment and different learning styles, and people who multitask or that access content from mobile phones. Some of the best text-to-speech software are Amazon Polly, Voice Reader Home 15, and Capti Voice.
• Speech-To-Text (STT) Systems
If you’re at a conference or a lecture, it is quite difficult to write down every word the speaker says, and this is where speech recognition comes in to help. As it depends on computational linguistics, it identifies spoken language and turns it into digital text. Some of the best STT apps are Evernote for Android, Dragon Dictation, Voice Assistant, Transcribe, and Speechnotes.
Chat Bots for mobile apps are classified as a ‘recent’ sensation. They are great for specific tasks, such as a rule-based chatbot that answers basic customer questions, to complex ones like helping customer service questions. Chatbots work great when integrated with apps and websites to boost interaction with customers. The benefits of bots in mobile are massive; they recommend new things, help customers with repetitive tasks and save a lot of space on the phone as they will be several apps in one.
• AI and Mobile Apps Security
Hacking and phishing attacks are not only becoming more common but also becoming more advanced and sophisticated with each passing day. As a result, personal data security has become a point of grave concern for both mobile users and developers. AI is used to identify the obvious signs that indicate suspicious activity and raise alarms before any sensitive data is compromised. This is made possible with AI as it can learn from a user’s actions and identify extraordinary countermeasures by monitoring activity on a device.
• Mobile AI Impact on Businesses
The major tech companies today are incorporating AI algorithms into various devices to strategically and intensely engage consumers, and provide more incentives to use their services. Many devices and apps are written with algorithms that become accustomed based on the perceived user responses. The algorithms filter the collected data, find trends and automatically modify the apps to generate more meaningful opportunities to engage potential users. Progressive and far-sighted businesses will surely flourish on the rewards AI provides, as it continues to connect consumers to brands.
Emerging Future of Mobile AI
The most noticeable developments AI brings about in mobiles are processing speed and efficiency, i.e., doing things faster and with higher proficiency. The whole basis of mobile AI is to create more personalized and user-friendly relationships with our mobile phones. Based on the blooming progress in technology and the growing demand for smart applications, AI and mobile phones are perfectly “made for each other”.