Traditional experimental methods for evaluating gas adsorption performance of metal–organic frameworks (MOFs) are costly and time-consuming, while ...

A new AI model accurately predicts gas adsorption in metalorganic frameworks and explains its results, offering faster, clearer materials discovery.

Despite differing regulatory philosophies, all regions recognize AI’s value in transactional transparency, anomaly detection, ...

The study proposes a decentralised smart EV-grid integration framework that distributes control intelligence across local ...

This valuable study uses EEG and computational modeling to investigate hemispheric oscillatory asymmetries in unilateral spatial neglect. The work benefits from rare patient data and a careful ...

The integration of big data into business analytics has transformed how organisations gather and interpret large volumes of data. Big data includes a broad spectrum of structured and unstructured data ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

酶是生命体内的"工作机器"，能够催化特定的化学反应。它们的一个关键特性是底物特异性——识别并作用于特定分子的能力。然而，科学家面临一个难题：数百万种已知酶缺乏可靠的底物特异性信息，这严重影响了酶的有效应用。10月8日《自然》杂志发表的一项研究中，研究人员开发了一个名为EZSpecificity的人工智能模型，它采用图神经网络学习酶和底物的结构信息，预测酶能作用于哪些底物。实验证明，这个模型的准确率 ...