AI Center of Excellence for its Bangalore office. This role focuses on designing, developing, and deploying cloud-based ...

Abstract: In the human activity recognition (HAR) application domain, the use of deep learning (DL) algorithms for feature extractions and training purposes delivers significant performance ...

AI on the JVM accelerates: New frameworks like Embabel, Koog, Spring AI, and LangChain4j drive rapid adoption of AI-native and AI-assisted development in Java. Java 25 anchors a modern baseline: The ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

Abstract: The rapid advancement of AI technologies has significantly increased the demand for AI models across various industries. While model sharing reduces costs and fosters innovation, it also ...

GameSpot may get a commission from retail offers. While you may be limited to which version of Minecraft you can play based on the device you're using, there are some important differences between ...

Welcome to the Java world of TensorFlow! TensorFlow can run on any JVM for building, training and running machine learning models. It comes with a series of utilities and frameworks that help achieve ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...