With Firebase ML Kit, Google are aiming to make machine learning more accessible, by providing a range of pre-trained models that you can use in your iOS and Android apps. In this article, I’ll ...

Although using a virtual machine has its advantages including high portability (i.e. the same Java based Android app can run on ARM and Intel devices without modification), Java code runs slower ...

Android app developers will soon have a specialized version of TensorFlow to work with on mobile devices. TensorFlow Lite, which will be part of the TensorFlow open source project, will let ...

Artificial intelligence (AI) and machine learning (ML) are increasingly important in the world of enterprise development. That means programmers must learn the ins and outs of AI and ML. Five ML links ...

Google has found another use for DeepMind's machine learning software after buying the London artificial intelligence lab for a reported £400 million in 2014. Later this year, the search giant ...

Java users can integrate ML into their Spring applications with Spring Boot Starter for Deep Java Library. Apply these frameworks to integrate ML capabilities into microservices for deep learning.

The pressure is on to harness machine learning for more responsive enterprise apps. So find the open source tool that works best for your programming style and architecture.

Google has inked a deal with its Project Tango partner Movidius to bring visual-processing units into the mix with CPUs and GPUs on Android smartphones.