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 ...

Application intelligence is the process of using machine learning technology to create apps that use historical and real-time data to make predictions and decisions to deliver rich, adaptive ...

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.

Incorporating machine learning into mobile apps is typically challenging for three reasons, Elbouchikhi said: First, training machine learning models at sufficient scale and quality can be ...

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 isn’t only for the cloud. Microsoft is bringing it to PCs in the next Windows 10 release. Here’s how to get started now We’re not far away from a new release of Windows 10 ...

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