IEEE

Sample Trajectory Selection Method Based on Large Language Model in Reinforcement Learning

Abstract: This paper introduces a method for trajectory selection using large-scale pre-trained language models, aiming to improve sample and training efficiency in reinforcement learning. By using a ...

Generation of harmful slow electrons in water is a race between intermolecular energy decay and proton transfer

When high-energy radiation interacts with water in living organisms, it generates particles and slow-moving electrons that ...

Framework models light-matter interactions in nonlinear optical microscopy to determine atomic structure

Materials scientists can learn a lot about a sample material by shooting lasers at it. With nonlinear optical microscopy—a ...
IEEE

Dual Loop Meta-Learning for Limited-Sample Modulation Recognition: A Collaborative Model-Agnostic Strategy

Abstract: Modulation recognition in electronic support measures systems is challenging due to the scarcity of labeled data. To address this, we propose a Dual-Loop Meta-Learning network for automatic ...
Google Glass Almanac

Cryo-EM Breakthrough: Most Precise Atom Images Ever Captured!

Thanks to cryo-electron microscopy (cryo-EM), teams of German and British researchers have managed to create images of atoms ...
eLife

Explainable machine learning-assisted exploration of chromatin dynamics reveals chromosome-specific response to serum starvation

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...