Developments in machine learning algorithms have significantly helped and bolstered app development. Whether we talk about Android or iOS, the SDKs for these applications include several APIs that ...

When it comes to app dev and marketing, Jason Spero, VP, Global Performance Solutions at Google, recently shared examples of how AI/machine learning are helping apps and the app ecosystem leapfrog ...

The mobile app landscape is experiencing a profound transformation, primarily driven by the pervasive integration of Machine ...

Machine learning can help you create innovative, compelling and unique experiences for your mobile users - but if you want to enhance your Android apps with powerful machine learning capabilities ...

Consider a machine learning app that reads handwritten text like Google Lens, for example. As part of the training process, a developer first feeds an ML algorithm with sample images.

It may be the case that there are too many apps for “that” these days. The number of available apps in the Google Play Store was placed at 3.3 million apps in September 2017. Apple’s App Store ...

With machine learning, Google can use peer grouping to scan apps that are being loaded on to the Play Store en masse.A range of metrics are used to group apps into clusters, including their ...

Machine learning plays a crucial role in keeping users engaged with the app over time. By analyzing user behaviors, purchase patterns and engagement trends, machine learning models can predict which ...

Machine learning models identify apps that will likely violate Google Play store guidelines Peer-Reviewed Publication. University of Groningen ...