InfoQ

Proactive Autoscaling for Edge Applications in Kubernetes

Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or ...

Q&A: Algorithm achieves near end-to-end genome assembly without ultra-long DNA sequencing

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...
IEEE

Evaluating Memory Management and Garbage Collection Algorithms with Virtual Threads in High-Concurrency Java Applications

Abstract: Garbage collection (GC) is a critical memory management mechanism within the Java Virtual Machine (JVM) responsible for automating memory allocation and reclamation. Its performance affects ...

AI captures particle accelerator behavior to optimize machine performance

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
InfoQ

Are You Missing a Data Frame? The Power of Data Frames in Java

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...
GitHub

Diffusion Forcing: Next-token Prediction Meets Full-Sequence Diffusion

@article{chen2025diffusion, title={Diffusion forcing: Next-token prediction meets full-sequence diffusion}, author={Chen, Boyuan and Mart{\'\i} Mons{\'o}, Diego and ...
IEEE

Performance Analysis of Classical vs. Machine Learning-Based Image Segmentation Algorithms in a Java Web Environment

This paper presents a comparative analysis of image segmentation algorithms in Java web environments, evaluating classical (K-means, GrabCut) and deep learning (DeepLabV3, U-Net) approaches.