A new analysis of seismic “families” reveals that some large earthquakes may be preceded by hidden patterns in clustering, ...

A national-scale mineral potential assessment mapped areas across Australia that are prospective for unconformity-related rare-earth-element systems. The framework reduced the exploration search area ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

In the four years since the British singer last released an album, artists like Sombr, working in similar aesthetic modes, have climbed onto the charts. By Shaad D’Souza Following Harry Styles’s solo ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have an important impact. That may feel especially true, for example, when ...

Traditional QSRR models are limited to single-column predictions, hindering adaptability across diverse LC setups in pharmaceutical settings. The new ML-based approach predicts retention times using ...

Department of Computer Science, Duke University, Durham, North Carolina 27705, United States National Innovation Center for Advanced Medical Devices, Shenzhen 518131, China Shenzhen Institute of ...

ABSTRACT: Large models perform better than traditional deep learning methods in terms of generalization and continuous learning capabilities, but the application of large models in vertical fields ...

The Perspective by Tiwary et al. (8) offers a comprehensive overview of generative AI methods in computational chemistry. Approaches that generate new outputs (e.g., inferring phase transitions) by ...