How 2025 Recalibrated AI Models Race

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

The Quantum-AI Convergence: Why Hybrid Computing Will Define The Next Decade Of Innovation

The quantum-AI convergence represents the next fundamental shift in how we process information, solve problems and create ...
eLife

Range geography and temperature variability explain cross-continental convergence in range and phenology shifts in a model insect taxon

The article presents important findings on the impact of climate change on odonates, integrating phenological and range shifts to broaden our understanding of biodiversity change. The study leverages ...
IEEE

Accelerated Convergence Method for Flow Field Based on DMD-POD Combined Reduced-Order Optimization Model

Abstract: This work presents a novel acceleration method that achieves more efficient convergence of steady-state flow fields. This method involves conducting dynamic mode decomposition (DMD) and ...
IEEE

Memory-Efficient Model-Based Deep Learning With Convergence and Robustness Guarantees

Abstract: Computational imaging has been revolutionized by compressed sensing algorithms, which offer guaranteed uniqueness, convergence, and stability properties. Model-based deep learning methods ...