700% higher concurrency 50% memory savings Startup is 10 times faster. Packing 90% smaller; It also supports java8 ~ java25, native runtime.

Abstract: The Kriging model has been widely used in regression-based surrogate-assisted evolutionary algorithms (SAEAs) for expensive multiobjective optimization by using one model to approximate one ...

Learn how to implement an uninformed search algorithm using Breadth-First Search (BFS) in Java! This tutorial walks you ...

I studied computer science at University College Dublin, where the four-year course covered a broad range of topics. We ...

Barry S. Honig  The bulk materials industry is undergoing a significant technological transformation. Organizations across ...

When electricity or fuel powers a machine, the machine gets hotter. Finding new ways to cool machines quickly and ...

Author Shawn Peters blends clarity and rigor to make data structures and algorithms accessible to all learners. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant Publishers ...

Holly Baxter asks tech experts what students should actually study, now ‘learn to code’ is dead — and gets some surprising ...

Abstract: With the emergence of computing-intensive vehicular applications, limited on-board computing resources become insufficient to meet the computing requirement of many vehicular applications.

Vector Post-Training Quantization (VPTQ) is a novel Post-Training Quantization method that leverages Vector Quantization to high accuracy on LLMs at an extremely low bit-width (<2-bit). VPTQ can ...