Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller ...

A new study reveals that the next generation of blockchain defenses will not rely on fixed rules alone but on adaptive, learning-based systems capable of evolving alongside intelligent adversaries.

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.

Adaptive systems were supposed to simplify decision-making. Instead of hard-coded rules, engineers built models that could learn from data, respond to change, and improve over time. That promise still ...

Abstract: Optimization methods often face a trade-off between the fast convergence of second-order methods and the low computational cost of first-order methods. Motivated by the need to bridge this ...

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...

Thanks for your integration, it's great! I have one opportunity to extend or enhance (I'm not sure if that's a proper feature or an extension, I have not found a way to replicate with the existing ...

School of Textiles and Fashion, Shanghai University of Engineering Science, Shanghai 201620, PR China Key Laboratory of Cleaning Dyeing and Finishing Technology of Zhejiang Province, Shaoxing ...