Black-box optimization weather intervention method supports future disaster mitigation

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
IEEE

AutoLTS: Lightweight Transformer-Based Simulation Model for Efficient Communication Using Hybrid Large Language Models

Abstract: Conventional communication simulation models, such as iterative-based channel estimation algorithms, struggle to meet the complex and dynamic requirements of Low-Altitude Economy Networking, ...
TMCnet

SIGGRAPH 2026 Technical Papers Showcase the Research Making Visual Computing Faster, More Reliable, and Accessible

The 53rd annual conference presents peer-reviewed breakthroughs in simulation, vectorization, and physics modeling across ...
IEEE

Deep Reinforcement Learning Model for Robust Travel Salesman Problem via Multiobjective Optimization Framework

Abstract: Deep Reinforcement Learning (DRL) has gained significant attention for its ability to solve combinatorial optimization problems, including the Traveling Salesman Problem (TSP). While ...
Aerospace and Mechanical Insider on MSN

NVIDIA’s Eureka merges LLMs and simulation for robot mastery

A new research initiative from NVIDIA has demonstrated an AI system capable of autonomously generating reward algorithms that ...
SciTech Daily

Physicists Solve a “Quantum-Only” Problem Using an Ordinary Laptop

Tensor networks enable researchers to tackle quantum physics problems previously thought to be solvable only by quantum computers. Credit: Lucy Reading-Ikkanda/Simons Foundation By applying a 1980s ...