Solvit System Quantifies Counter-Drone and Defense Communications with AI and Digital Twins

From battlefield communications to counter-drone defense, security must be measurable.” SEOCHO-GU, SEOUL, SOUTH KOREA, January 23, 2026 /EINPresswire.com/ — Solvit System (CEO Yeong-Goo Kim), a ...

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 ...
IEEE

AI-Based Algorithm for Zero-Day Attack Detection Using Reinforcement Learning

Abstract: Zero-Day attacks represent one of the most challenging threats in modern cybersecurity, as they exploit unknown vulnerabilities and bypass traditional detection systems. In this paper, we ...
Frontiers

Multi-modal Learning with Large-scale Models

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

MIT's new fine-tuning method lets LLMs learn new skills without losing old ones

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
IEEE

Deep Reinforcement Learning-Based Multi-AUV Task Allocation Algorithm in Underwater Wireless Sensor Networks

Abstract: Autonomous underwater vehicle (AUV)-based data collection can bring significant advantages to underwater wireless sensor networks (UWSNs). Collaborative collection based on multi-AUV task ...