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 ...
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

Optimization Strategies for Dryer Groups Using Reinforcement Learning

Abstract: As the scale of modern industrial facilities continues to expand and electricity pricing policies become more widespread, the challenge of efficiently managing the numerous equipment ...
IEEE

Task Allocation Optimization Algorithm for Multitarget ISAR Imaging Based on Deep Reinforcement Learning Under Suppression Jamming

Abstract: Inverse synthetic aperture radar (ISAR) can perform high-resolution imaging of noncooperative targets around the clock and in all weather conditions, which has been widely used in the ...