XRM microscopy, combined with machine learning, revolutionizes materials research by enhancing imaging techniques for failure ...

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A synthetic aperture radar (SAR) image classification task when the training and test sets have different distributions can be initially solved using the existing domain adaptation (DA) methods.

We are seeking excellent candidates at post-doctoral level to participate in new research endeavours, related to robot learning, manipulation, and AI for autonomous physical systems. The projects ...

The easiest way to get bogged down is to install the often recommended tools and frameworks (NPM, Yarn, PNPM, NodeJS, React, ...

In an era where flexible learning is more than just a convenience—it’s a necessity—many working professionals are turning to ...

Researchers at Tohoku University used machine learning potential to create large-scale models of tin (Sn) catalysts under ...

I grew up and began my career in Brazil, where access to health care and education—especially in low-resource settings—was ...

Robust reinforcement learning (RL) aims to improve the generalization of agents under model mismatch. As a major branch of robust RL, adversarial approaches formulate the problem as a zero-sum game in ...

A painless, noninvasive brain stimulation technique can significantly improve how young adults learn math, my colleagues and ...