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AI in Mobile-Apps | The Many Uses of AI in Mobile Apps

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AI in Mobile-Apps-Artificial Intelligence in Mobile-Apps The Many Uses of AI in Mobile Apps with AI in Mobile-Apps, you can have your apps making decisions to help achieve real-time results. How do they do this? They use AI! But, what exactly are they using it for? What are the uses of AI in mobile apps and how do you decide if it’s worth using? Let’s find out!

Intelligent machine learning

This is where artificial intelligence (or AI) comes into play. Using intelligent machine learning, software learns from data and becomes smarter over time. It’s a little like having someone who never cooks tell you how to make your favorite recipe by using key ingredients, instructions, and other input. Then it figures out what went wrong if you follow that advice but end up with an unappetizing dish—and adjusts its future recommendations accordingly.

Cognitive intelligence

Our human brains hardwired to recognize patterns, but machines have no such built-in skills. We’re still a long way from solving the pattern recognition problem. But researchers are getting there; Machine learning techniques are being used to teach computers to notice and decipher trends without explicit programming. For example, cognitive intelligence can use to discover what aspects of an app a user enjoys most. These likes and dislikes can then use as feedback for future product development or even for serving up relevant advertising. It’s easy enough to add an other option when asking users why they like your app. But it’s much more powerful if you can get data on why they don’t like it!

Natural language processing

NLP for short, natural language processing refers to a set of algorithms that allow machines to analyze text. NLP is an important component in voice recognition software and messaging apps like Siri, Alexa and Google Assistant. It’s also used by companies like Spotify to help you find new music; with your permission, Spotify will scan your library to find similar artists. In fact, virtually all modern smartphones use some sort of speech-to-text tool that makes use of artificial intelligence technology.

Deep learning and neural networks

Artificial intelligence already well integrated into mobile apps. But most people aren’t aware. There are deep learning neural networks behind your favorite mobile app that power everything from speech recognition to face detection and more. Today, almost all smartphones come equipped with two pieces of software that use artificial intelligence algorithms: Speech recognition: This software uses deep learning algorithms to translate your voice into text by recognizing patterns in recorded conversations. The familiar Now listening… prompt you hear when talking to Siri or Alexa? That’s a form of speech recognition technology at work. It works similarly on other messaging platforms too—in fact, messaging apps are one of top 10 uses for artificial intelligence on mobile devices today!

Computer vision (AI in Mobile-Apps)

It’s one thing to have a chat bot respond to user queries, but it’s another thing entirely to have that bot actually understand what you’re saying. Artificial intelligence is applied here: computer vision takes massive amounts of data and determines whether certain objects are visible. Once computers can see, it opens up more possibilities for apps—beyond simply conversing with people, they can help us interact with our environment and things around us.

Robotics (AI in Mobile-Apps)

If you’re an app developer, there’s no better time to take advantage of robotics technology. Nowadays, you can use a variety of artificial intelligence (AI) applications to enhance your mobile applications. While some businesses are still unsure about how robots and AIs can benefit their bottom line, we’ve created a list of top AI uses for mobile apps.

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