Deep Learning AI

There was a time in the not-so-distant past that showcasing powerful AI was all about chess. Showing a computer beating the world’s greatest Grandmasters played well in the media and was easy to understand for even the least tech-savvy among us. This was taken to the next logical level when IBM’s Watson bested human challengers at Jeopardy! in 2011. While these man-versus-machine battles made for great TV spectacles, can mobile software benefit from these developments in AI?

The answer is a resounding “Yes.”

IBM Watson AI

SalesForce CEO Marc Benioff said recently in an interview: “I think a lot of people don’t understand how deep AI already is in so many things.” This includes the backends of some of tech’s biggest services, like Facebook, Google Maps, and Amazon Web Services. And judging by the way large tech companies are acquiring deep learning startups, the number of services utilizing AI are only going to increase. So at this point, the question isn’t “Will mobile apps utilize deep learning AI,” but “How will your app use deep learning AI?”

Marc Benioff quote on Deep Learning AI

In a 2016 research paper co-authored by Microsoft Research and the University of Cambridge, researchers make the point that smart devices are effective at tracking a wide variety of personal data. The way you commute to work, the stores you frequent, and even your vital signs can all be tracked through your phone. The real opportunity for developers is how to interpret this data quickly and effectively to provide value to their users. This is the arena where deep learning AI has proven itself.

What sets deep learning AI apart from its chess-playing cousins is that it can learn and adapt to changing circumstances. Deep learning systems utilize arrays of neural networks that work in parallel to analyze and react to assigned inputs. Inputs can be anything from GPS locational data to the screens of a video game, with outputs being turn-by-turn directions or button presses on a game controller. Neural networks that provide successful outputs are kept, while unsuccessful ones are pruned. Over time, the network gets better at reacting correctly to data, in turn providing better results. In other words, digital natural selection.

Deep Learning AI track GPS Locational Data

Imagine being able to offer your users the best deals in the specific aisle of a store they’re browsing based on their needs. Or guiding tourists and travelers through cities across the globe tailored to their personal preferences. Through deep learning AIs, developers can finally create software that anticipates user behavior instead of merely reacting to user input. While smart devices have always been effective at recording data, deep learning AI finally offers us a way of making sense of it all.

No matter what the future of mobile software holds, Zco is ready to adopt the latest technology for use in your project. Our team of expert developers and designers have a proven record of harnessing the latest technology to power our clients’ solutions. Zco can make your idea into a high-quality software solution.


Tags: deep learning, AI, artificial intelligence, mobile app development

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