Abstract: This study endeavors to investigate the effectiveness of machine learning-based methodologies in enhancing the performance and reliability of Power Line Communication (PLC) systems. PLC ...

TornadoVM, an open-source plug-in for OpenJDK and GraalVM that compiles and offloads Java code to accelerators such as GPUs, ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited AI expertise in industrial fields such as factories, medical, and ...

In 2025, Java is expected to be a solid AI and machine-learning language. Best Java libraries for AI in 2025 can ease building neural networks, predictive modeling, and data processing. These tools ...

In order to use Byte Buddy, one does not require an understanding of Java byte code or the class file format. In contrast, Byte Buddy’s API aims for code that is concise and easy to understand for ...

Ah, 2010. The year when Apple launched the iPad, but the limelight was stolen by something else entirely: Antennagate. Soon after the launch of the iPhone 4, users discovered that when they held the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Thomas Betts chats with ...

If you use UTM virtual machines of MacOS on your Mac, let’s say to test out a beta version of system software (like MacOS Tahoe beta), you might be wondering how to copy files from the local host Mac, ...

Conventional artificial intelligence systems are limited by their static architectures. These models operate within fixed, human-engineered frameworks and cannot autonomously improve after deployment.